• With the increase in aging and cardiovascular risk factors, the morbidity and mortality of atherosclerotic cardiovascular disease (ASCVD), represented by ischemic heart disease and stroke, continue to rise in China. (biomedcentral.com)
  • Atherosclerotic cardiovascular disease (ASCVD), which mostly involves heart attacks and strokes caused by atherosclerosis, is one of the main causes of death worldwide [ 1 ]. (biomedcentral.com)
  • Miami Project researchers recently published a manuscript titled, Cardiometabolic risks and atherosclerotic disease in ApoE knockout mice: Effect of spinal cord injury and Salsalate anti-inflammatory pharmacotherapy in the journal PLOS ONE that demonstrates positive results in treating some of the secondary cardiovascular complications following spinal cord injury (SCI). (themiamiproject.org)
  • Chronic SCI results in a greater prevalence of risk factors for cardiovascular disease (CVD) and atherosclerotic disease (AD) - plaque buildup in a person's arteries - when compared to the able-bodied population. (themiamiproject.org)
  • A study reinforces the usefulness of ACC/AHA CVD Pooled Cohort risk equations and the importance of efforts to implement the current guidelines to prevent atherosclerotic cardiovascular disease in African Americans. (acpinternist.org)
  • Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. (sajhivmed.org.za)
  • The purpose of this study was to estimate decreases in 10-year atherosclerotic cardiovascular disease (ASCVD) risk associated with EvidenceNOW, an initiative spanning multiple states that sought to improve cardiovascular preventive care by providing supportive interventions such as practice facilitation to address the "ABCS": (A)spirin for high-risk patients, (B)lood pressure control for hypertensive people, (C)holesterol management, and (S)moking screening and cessation counseling. (ahrq.gov)
  • These properties also offer the allure of quantifying change in atherosclerosis to better pinpoint and personalize atherosclerotic cardiovascular disease (ASCVD) risk estimates. (medscape.com)
  • Clinical decision-making based on overall cardiovascular risk in addition to individual risk factors can improve outcomes, as demonstrated for antihypertensive treatment [ 12 ]. (springer.com)
  • Several clinical guidelines recommend the use of preoperative prediction models as risk stratification tools to predict postoperative outcomes such as in-hospital mortality or major adverse cardiac events (MACEs). (bmj.com)
  • African Medical Journal describing its use of service claims data to patient investigation and treatment, as well as providing a framework determine standardised mortality rates, across hospital systems, for against which clinical outcomes can be measured. (who.int)
  • Suboptimal dialysis initiation (eg, marked by dialysis starts during a hospitalization or without a permanent dialysis access) is not uncommon, 4-6 and individuals with such dialysis starts have reduced access to home dialysis and transplantation, poor clinical outcomes, and increased mortality. (ajmc.com)
  • They recommended that future research should evaluate clinical outcomes associated with more comprehensive insurance coverage. (ahrq.gov)
  • Bergqvist J, Iderberg H, Mesterton J, Bengtsson N, Wettermark B, Henriksson R. Healthcare resource use, comorbidity, treatment and clinical outcomes for patients with primary intracranial tumors: a Swedish population-based register study. (janusinfo.se)
  • Sveréus S, Larsson K, Rehnberg C. Clinic continuity of care, clinical outcomes and direct costs for COPD in Sweden: a population based cohort study. (janusinfo.se)
  • Although various measures of CAC progression were independently associated with outcomes, none of the 10 CAC progression algorithms demonstrated an improvement in the C statistic or net reclassification of risk for hard CHD or hard ASCVD compared with models including risk factors and baseline CAC score. (medscape.com)
  • We identified eight protein biomarkers, four of which are novel, for risk of MACE in community residents with type 2 diabetes, and found improved risk prediction by combining multiplex proteomics with an established risk model. (springer.com)
  • More recent approaches to AD diagnosis and clinical management have focused on AD as an inflammatory disorder defined by the presence and actions inflammatory biomarkers. (themiamiproject.org)
  • The integration of these inflammatory biomarkers into traditional lipid prediction models may improve the forecasting of future AD. (themiamiproject.org)
  • Several studies have attempted to improve the prediction of MACE by either adding biomarkers to the RCRI or by comparing the predictive performance of the RCRI to single biomarkers or to other prediction models. (bmj.com)
  • Using data from the Jackson Heart Study (JHS), a community-based study of 5,301 black adults in Jackson, Miss., researchers developed and validated risk prediction models for CVD incidence in black adults, incorporating standard risk factors, biomarkers, and subclinical disease. (acpinternist.org)
  • Still in use today, this platform is now funded by the ERA4TB program under the IMI's AMR Accelerator Initiative and provides a robust and comprehensive set of data which drug developers use for analysis and help evolve concepts such as biomarkers, predictability of earlier stage clinical data, and clinical trial design. (c-path.org)
  • In people with cardiovascular disease (without diabetes) and overweight or obesity, the GLP-1 receptor agonist semaglutide significantly reduced the risk of major cardiovascular events. (nature.com)
  • Statistical analysis included the C statistic, a measure used to estimate the probability that a model is able to predict an outcome, with values ranging from 0.5, indicating that the outcome is no different than chance, to 1.0, in which the model predicts the outcome perfectly. (acpinternist.org)
  • New software predicts the clinical risk of drug-induced side effects for the heart with higher accuracy than animal experiments. (frontiersin.org)
  • The research, led by Dr Elisa Passini and colleagues from the University of Oxford and Janssen Pharmaceutica, developed original software which predicts the clinical risk of drug-induced side effects for the heart with higher accuracy than animal experiments. (frontiersin.org)
  • With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. (sajhivmed.org.za)
  • These widely reported AD risk factors after SCI raise a fundamental question whether-or to what extent-SCI alters the trajectory of these cardiovascular complications. (themiamiproject.org)
  • Cardiovascular complications occur in approximately 5% of patients after non-cardiac surgery and are a leading cause of morbidity and mortality. (bmj.com)
  • 1 While antiretroviral therapy (ART) has reduced morbidity and mortality in people living with HIV (PLHIV), 2 complications associated with ageing such as cardiovascular disease (CVD), cancer, osteoporosis, and other end-organ diseases are increasing. (sajhivmed.org.za)
  • For better prevention and intervention, relevant guidelines recommend using predictive models for early detection of ASCVD high-risk groups. (biomedcentral.com)
  • Therefore, this study aims to establish a population ASCVD prediction model in rural areas of Xinjiang using survival analysis. (biomedcentral.com)
  • Traditional ASCVD prediction models (Framingham and China-PAR models) were constructed in the test set. (biomedcentral.com)
  • Different models' discrimination and calibration degrees were compared to find the optimal prediction model for this population according to different genders and further analyze the risk factors of ASCVD. (biomedcentral.com)
  • The performance of the ASCVD prediction model based on the RSF algorithm is better than that based on Cox regression, Lasso-Cox, and the traditional ASCVD prediction model in the rural population of Xinjiang. (biomedcentral.com)
  • Currently, the most commonly used survival analysis method is the Cox proportional hazards model, and most traditional ASCVD prediction models are constructed based on this model. (biomedcentral.com)
  • Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. (sajhivmed.org.za)
  • and (3) 10-year ASCVD risk prediction equations. (ahrq.gov)
  • High CAC scores are associated with a markedly increased risk of coronary heart disease (CHD) (4- to 10-fold higher) independent of other risk factors, and CAC has been shown to improve clinical reclassification of CHD and ASCVD risk. (medscape.com)
  • Up to 40% of the US population will develop type 2 diabetes during their lifetime, and type 2 diabetes is an important contributor to major adverse cardiovascular events (MACE) such as myocardial infarction and stroke-the leading causes of morbidity and mortality in Western countries [ 2 ]. (springer.com)
  • In 2019, Discovery Health published a risk adjustment model to determine standardised mortality rates across South African private hospital systems, with the aim of contributing towards quality improvement in the private healthcare sector. (who.int)
  • The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. (sajhivmed.org.za)
  • European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). (acpjournals.org)
  • The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts). (acpjournals.org)
  • The adoption of medical AI devices in clinical practice is still in its infancy, with uneven usage across procedures and locations in the USA, which underscores the inequities in its real-world implementation. (nature.com)
  • GPs may refer to clinical practice guidelines when deciding which tests, if any, are appropriate, but the quality of these guidelines is unknown. (researchgate.net)
  • Although not yet routinely used in clinical practice, AI systems often find their applications in supporting clinical diagnosis. (futurelearn.com)
  • Taken together, these studies and other recent publications in this area are beginning to form a framework for how to conceptualize the potential utility and application of repeat CAC scanning in clinical practice. (medscape.com)
  • Preoperative prediction of lymph node metastasis using deep learning-based features. (cdc.gov)
  • Roles of allostatic load, lifestyle and clinical risk factors in mediating the association between education and coronary heart disease risk in Europe. (umu.se)
  • Performance could be further improved by using summary risk prediction scores such as the EUROSCORE II for coronary artery bypass graft surgery or the GRACE risk score for acute coronary syndrome. (who.int)
  • Was the death specific clinical conditions (i.e. acute myocardial infarction, coronary of this patient expected? (who.int)
  • 2] A prediction model that and transparency of such risk adjustment models, and to widen uses a `history of coronary heart disease' as a risk factor to predict discussion on the strengths and limitations of risk adjustment models death from an acute myocardial infarction (AMI) is always going based on service claims data. (who.int)
  • They evaluated 3281 subjects with paired scans performed over a larger interscan interval, 5.1 years, and with 7.8 years of follow-up after the second scan, resulting in 85 hard coronary, 161 hard cardiovascular, and 241 total cardiovascular events inclusive of revascularization. (medscape.com)
  • Cox proportional hazards models in the derivation cohort to derive risk equations accounting for competing risks. (bmj.com)
  • Model performance was compared with the American College of Cardiology/American Heart Association (ACC/AHA) CVD risk algorithm (Pooled Cohort Equations) and the Framingham Risk Score (FHS) refitted to the JHS data. (acpinternist.org)
  • However, the reclassification improvement was not substantially different between model 6 and the ACC/AHA CVD Pooled Cohort risk equations or between model 6 and the FHS. (acpinternist.org)
  • Objective To develop, validate, and evaluate a new QRISK model to estimate lifetime risk of cardiovascular disease. (bmj.com)
  • Conclusions Our model can be used to estimate the impact of primary prevention interventions on life expectancy and can assess the impact of interventions on inequalities. (bmj.com)
  • SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. (umu.se)
  • Prediction models containing several features to estimate the risk of patients with confirmed infection could help clinicians give appropriate treatment when health care resources are limited. (signavitae.com)
  • After the prediction model was derived in an international cohort of patients with ALI, it was validated in two independent samples of patients enrolled in a clinical trial involving 17 academic centers and a North American population-based cohort. (nih.gov)
  • A combined end-point of death and/or ventilator dependence at 14 days or later occurred in 68% of patients in the international cohort, 60% of patients in the clinical trial, and 59% of patients in the population-based cohort. (nih.gov)
  • In the derivation cohort, a model based on age, oxygenation index on day 3, and cardiovascular failure on day 3 predicted death and/or ventilator dependence. (nih.gov)
  • The prediction model performed better in the clinical trial validation cohort (area under the receiver operating curve 0.81, 95% confidence interval 0.77 to 0.84) than in the population-based validation cohort (0.71, 95% confidence interval 0.65 to 0.76). (nih.gov)
  • Of the 10% of patients in the validation cohort classified at highest risk with either the lifetime risk model or the 10 year risk model, only 18 385(14.5%) were at high risk on both measures. (bmj.com)
  • Design A state transition model was developed using the Scottish Heart Health Extended Cohort (SHHEC) linked to Scottish morbidity and death records. (bmj.com)
  • The thesis includes four studies, starting with the development of the statistical framework for the natural history model and then its application on a Swedish mammography screening cohort in study I-II. (ki.se)
  • My background is in mathematical statistics, with a special interest in statistical modelling. (ki.se)
  • We validated the model via statistical and empirical validation. (aut.ac.nz)
  • The unique contributions of this article beyond the longer interscan and follow-up periods include the assessment of 10 different proposed algorithms to quantify CAC progression and the inclusion of rigorous statistical metrics to interrogate the incremental value of CAC progression to outcome prediction. (medscape.com)
  • N-terminal B-type natriuretic peptide or troponin elevations, or the Background use of inotropes during admission, are much more powerful and Risk stratification and prediction is an integral part of clinical accurate predictors than admission to hospital alone. (who.int)
  • Thirty-four articles were included in the review, and relevant data were extracted from the risk prognosis model. (signavitae.com)
  • This systematic review compared different types of models for predicting the prognosis of influenza infection, informing us of risk factors for the predictive model in predicting the prognosis of influenza in the early stage. (signavitae.com)
  • This study assessed 80 cardiovascular and inflammatory proteins for biomarker discovery and prediction of MACE in type 2 diabetes. (springer.com)
  • Professor, Departments of Neurological Surgery, Physical Medicine & Medicine and Physical Therapy, Co-Director, DHHS-NIDILRR South Florida SCI Model System, and led by Gregory Bigford, Ph.D., Assistant Scientist , discovered these findings in their pre-clinical work, and hope that further study will lead to effective clinical interventions for those living with SCI. (themiamiproject.org)
  • In this study, we introduce a cardiovascular disease (CVD) policy model which can be used to model remaining life expectancy including a measure of socioeconomic deprivation as an independent risk factor for CVD. (bmj.com)
  • The Global Burden of Disease Study 1 estimated that in 2010 cardiovascular disease (CVD), including rheumatic heart diseases, hypertensive diseases, ischaemic heart diseases, pulmonary heart disease, other forms of heart disease, cerebrovascular diseases (CBVDs), diseases of arteries and diseases of veins, was the cause of death in approximately 30% of all global deaths. (bmj.com)
  • These individual-specific models-which take up to six hours using a supercomputer-will allow for a detailed study of the cardiovascular system and lead to early predictions of heart conditions such as arteriosclerosis, or the hardening of arteries that often leads to heart attacks. (eurekalert.org)
  • If the study involved animals, children, pregnant women or the study type was pragmatic and explanatory clinical trial, guideline, protocol, letter, a case report was also excluded. (signavitae.com)
  • A unique cardiovascular disease (CVD) risk calculator for black adults may not be necessary, a study found, despite that fact that current prediction models were developed with predominantly white populations. (acpinternist.org)
  • Six models composed of different risk variables were constructed and externally validated using 2 independent black adult data sets from the Atherosclerosis Risk in Communities (ARIC) study and the Multi-Ethnic Study of Atherosclerosis (MESA). (acpinternist.org)
  • The models discriminated reasonably well in the ARIC and Multi-Ethnic Study of Atherosclerosis data (C statistic range, 0.70 to 0.77). (acpinternist.org)
  • A computational model for end-to-side anastomosis (superior ulnar collateral anastomosis with posterior ulnar recurrent, SUC-PUR) is carried out to study the effects of some clinically relevant haemodynamic parameters like blood flow resistance and terminal re- sistance on pressure and flow at different locations of the arm artery. (kobv.de)
  • Machine Learning-Driven Clinical Image Analysis to Identify Craniosynostosis: A Pilot Study of Telemedicine and Clinic Patients. (cdc.gov)
  • Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study. (cdc.gov)
  • In study III, Rickard Strandberg focuses on risk prediction with a modification of the natural history model to incorporate risk factors separately in each of the four components of the model. (ki.se)
  • In Study IV, the model is used to study the effect that certain acquisition parameters used in mammography have on the detectability of breast cancer tumors. (ki.se)
  • With natural history models we can learn more about the progression of the disease, study the effects of breast cancer screening, and predict a woman's future risk of breast cancer. (ki.se)
  • Validating the model against data from other study populations is also an important step. (ki.se)
  • Patients with rheumatoid arthritis (RA) and other inflammatory joint disorders (IJD) have increased cardiovascular disease (CVD) risk compared with the general population. (bmj.com)
  • In this paper, we have applied parametric local sensitivity analysis (LSA) to a linear elastic model of the arm arteries, to find and rank sensitive param- eters that may be helpful in clinical diagnosis. (kobv.de)
  • A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models. (cdc.gov)
  • obesity and cardiovascular disease, decreasing variation and inappropriate cardiac utilization. (acc.org)
  • The revised cardiac risk index (RCRI) is such a prediction model developed over 20 years ago. (bmj.com)
  • The risk to cardiac safety is assessed in in vitro assays and animal models, with a range of species including rodents, rabbits, dogs and non-human primates being used. (frontiersin.org)
  • Dr Oliver Britton and colleagues then established a computer model that incorporated variations in 'normal' heart electrophysiological properties based on existing data from rabbit Purkinje fibres (cardiac cells). (frontiersin.org)
  • Multiplex proteomics could improve understanding and risk prediction of major adverse cardiovascular events (MACE) in type 2 diabetes. (springer.com)
  • We used gradient-boosted machine learning and lasso regularised Cox regression in a random 75% training subsample to assess whether adding proteins to risk factors included in the Swedish National Diabetes Register risk model would improve the prediction of MACE in the separate 25% test subsample. (springer.com)
  • Multiprotein arrays could be useful in identifying individuals with type 2 diabetes who are at highest risk of a cardiovascular event. (springer.com)
  • Cardiovascular prevention is further complicated by increased rates of drug side effects in people with diabetes, including potential adverse glycaemic effects of lipid-modifying agents [ 6 , 7 ]. (springer.com)
  • Development of Various Diabetes Prediction Models Using Machine Learning Techniques. (cdc.gov)
  • For example, machine learning could be deployed to assess the relative risk of lifestyle diseases such as cardiovascular disease and diabetes. (futurelearn.com)
  • A 10-year CVD risk model based on multiple risk factors (such as age, sex, body mass index (BMI), hypertension, systolic blood pressure (SBP), cigarettes per day, pulse rate, and diabetes) was developed in which heart rate was identified as one of the novel risk factors. (aut.ac.nz)
  • In this retrospective analysis of three multicenter clinical studies, we identified predictors of death or ventilator dependence from variables prospectively recorded during the first three days of mechanical ventilation. (nih.gov)
  • Current cardiovascular disease (CVD) risk models are typically based on traditional laboratory-based predictors. (aut.ac.nz)
  • The guidelines that cover the screening of patients for elevated serum lipid levels, and the treatment of patients with lipid abnormalities, rest on calculations of individual patients' risk for a future cardiovascular event. (medscape.com)
  • EPFL Laboratory of Multiscale Modeling of Materials, in Switzerland, has developed a flowing 3D model of the cardiovascular system that should allow for predictions of certain heart diseases before they become dangerous. (eurekalert.org)
  • Cardiovascular diseases are one of the major problems in medicine today and the number of patients increases worldwide. (kobv.de)
  • Mathematical modeling is a powerful tool for prediction and investigation of cardiovascular diseases. (kobv.de)
  • Collaborations between the Critical Path Institute and the Special Programme for Research and Training in Tropical Diseases (hosted at the World Health Organization), enabled by CPTR, led to the implementation of the Platform for Aggregation of Clinical TB Studies (TB-PACTS) which integrated data from numerous Phase III TB drug trials. (c-path.org)
  • Estimating the cardiovascular disease risk reduction of a quality improvement initiative in primary care: findings from EvidenceNOW. (ahrq.gov)
  • Lindner SR , Balasubramanian B , Marino M . Estimating the cardiovascular disease risk reduction of a quality improvement initiative in primary care: findings from EvidenceNOW. (ahrq.gov)
  • AI can also be used to integrate and summarise various clinical notes, identify patients with specific risks. (futurelearn.com)
  • Based on our results, these selected models that are readily available in the primary care setting are likely generalizable to other black populations originating from different geographical regions within the United States. (acpinternist.org)
  • 1 National policies now support targeting of interventions to reduce risk of cardiovascular disease among high risk patients. (bmj.com)
  • Objectives A policy model is a model that can evaluate the effectiveness and cost-effectiveness of interventions and inform policy decisions. (bmj.com)
  • Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. (cdc.gov)
  • By using human data, rather than animal data, the model improves how test results translate to humans and reduces the need for animal experimentation. (frontiersin.org)
  • iii) assess the models' performance to differentiate CV from non‐CV death. (gla.ac.uk)
  • Competing‐risk models were used to assess the best combination of variables associated with each cause‐specific death. (gla.ac.uk)
  • A model based on age and cardiopulmonary function three days after the intubation is able to predict, moderately well, a combined end-point of death and/or prolonged mechanical ventilation in patients with ALI. (nih.gov)
  • Aims Heart failure (HF) patients are at high‐risk of cardiovascular (CV) events, including CV death. (gla.ac.uk)
  • Identifying patients at higher risk for each individual event may help selecting patients for clinical trials and tailoring cardiovascular therapies. (gla.ac.uk)
  • yet these models allowed the identification of patients in whom absolute CV death rates clearly outweigh non‐CV death ones. (gla.ac.uk)
  • Conclusions Risk models for predicting CV and non‐CV death allowed the identification of patients at higher absolute risk of dying from CV causes (vs. non‐CV ones). (gla.ac.uk)
  • Subjects Patients aged 30-84 years who were free of cardiovascular disease and not taking statins between 1 January 1994 and 30 April 2010: 2 343 759 in the derivation dataset, and 1 267 159 in the validation dataset. (bmj.com)
  • This model could improve clinical management of patients diagnosed with invasive breast cancer and address the concerns of pathologists about artificial intelligence (AI) trustworthiness by providing transparent and explainable predictions. (nature.com)
  • The net reclassification improvement (NRI) is an increasingly popular measure for evaluating improvements in risk predictions. (acpjournals.org)
  • In this thesis, we developed risk predictions which can incorporate the effects of screening directly---something that the conventional risk prediction models can't do. (ki.se)
  • Cardiovascular disease and central nervous symptoms play an important role in prognostic models of influenza. (signavitae.com)
  • Hopefully, we have communicated that these types of modelling approaches are useful for a wide array of applications. (ki.se)
  • In general, model reporting should conform to published reporting standards, and attempts should be made to test model validity by using sensitivity analyses. (who.int)
  • A Cox proportional hazard regression method was applied to generate the proposed risk model. (aut.ac.nz)
  • For this model specifically, the most important areas are metastasis and breast cancer sub-types. (ki.se)
  • Early prediction of cardiotoxicity is critical for drug development. (frontiersin.org)
  • Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records. (cdc.gov)
  • AI-based clinical decision support systems (CDSS) as an advisory tool can also use this data to assist medical professionals in making better-informed decisions, e.g. recommend medications and doses, and suggest periodic follow-up checks and tests to ensure optimal patient care. (futurelearn.com)
  • By comparing the discrimination and calibration degrees of each model, the RSF showed the best prediction performance in males and females (male: Area Under Curve (AUC) 0.791 (95%CI 0.767,0.813), C statistic 0.780 (95%CI 0.730,0.829), Brier Score (BS):0.060, female: AUC 0.759 (95%CI 0.734,0.783) C statistic was 0.737 (95%CI 0.702,0.771), BS:0.110). (biomedcentral.com)
  • We assessed discrimination, validation and calibration of our model. (bmj.com)
  • After applying a calibration factor, our predictions of life expectancy closely match those published in recent national life tables. (bmj.com)
  • The proposed model achieved a good discrimination and calibration ability with C-index (receiver operating characteristic (ROC)) being 0.71 in the validation dataset. (aut.ac.nz)
  • GPA has a spectrum of clinical presentations that includes recurrent respiratory infection in adults and upper and lower respiratory tract problems in children. (medscape.com)
  • Construction of a Physical and Medical Care Integrated Model for the Elderly in the Community Based on Artificial Intelligence and Machine Learning. (cdc.gov)
  • The 2008 adaption included additional cardiovascular events (ie, stroke, transient ischemic attack) that had not previously been assessed. (medscape.com)
  • Angina Pectoris Angina pectoris is a clinical syndrome of precordial discomfort or pressure due to transient myocardial ischemia without infarction. (msdmanuals.com)
  • CPTR's combination development model established the gold standard for TB drug development programs and clinical trials. (c-path.org)
  • We believe that future research on risk estimation could usefully focus on several issues, including risk estimation in other racial/ethnic groups, prediction of an expanded outcome to include HF [heart failure], and the role of easily attainable measures of subclinical disease in risk prediction. (acpinternist.org)
  • When designing a risk prediction model, patient-proximate variables with a sound theoretical or proven association with the outcome of interest should be used. (who.int)
  • However, the contribution of CAC change to the prediction of these events was again modest when compared with the information contained in the baseline CAC score. (medscape.com)
  • The addition of key condition-specific clinical data points at the time of hospital admission will dramatical y improve model performance. (who.int)