Kazem Rahimi
- BEHRT: Transformer for Electronic Health Records
2019/07/22 by Yikuan Li, Li, Yikuan, Shishir Rao +16 · 47 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Biomedical Text Mining and Ontologies #Machine Learning in Healthcare #Topic Modeling #cs.LG #stat.ML
- Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
2015/06/07 by Theo Vos, Ryan M Barber, Brad Bell +709 · 16 citations
Medicine · Social Sciences · #Chronic Disease Management Strategies #Health disparities and outcomes #Injury Epidemiology and Prevention
- Effects of intensive blood pressure lowering on cardiovascular and renal outcomes: updated systematic review and meta-analysis
2015/11/07 by Xinfang Xie, Emily Atkins, Jicheng Lv +14 · 8 citations
Medicine · Nursing · #Blood Pressure and Hypertension Studies #Cardiovascular Health and Disease Prevention #Sodium Intake and Health
- Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
2021/06/21 by Yikuan Li, Li, Yikuan, Mohammad Mamouei +13 · 12 citations
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease
2021/09/06 by Rosemary Walmsley, Shing Chan, Karl Smith-Byrne +6 · 9 citations
Computer Science · Health Professions · Medicine · #Context-Aware Activity Recognition Systems #Mobile Health and mHealth Applications #Physical Activity and Health
- Blood Pressure Lowering in Type 2 Diabetes
2015/02/10 by Connor A. Emdin, Kazem Rahimi, Bruce Neal +3 · 6 citations
Medicine · #Blood Pressure and Hypertension Studies #Cardiovascular Health and Disease Prevention #Diabetes Treatment and Management #Medicine #Internal medicine #Relative risk #Albuminuria #Type 2 diabetes #Heart failure #Stroke (engine) #Blood pressure #Diabetes mellitus #Cardiology #Randomized controlled trial #Meta-analysis #Confidence interval #Endocrinology
- Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records
2020/03/23 by Yikuan Li, Li, Yikuan, Shishir Rao +17 · 6 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Time Series Analysis and Forecasting #cs.LG #stat.ML
- Objectively measured physical activity and all cause mortality: A systematic review and meta-analysis
2020/12/07 by Rema Ramakrishnan, Jianrong He, Jian-Rong He +6 · 4 citations
Medicine · Psychology · #Behavioral Health and Interventions #Obesity, Physical Activity, Diet #Physical Activity and Health
- Effects of Blood Pressure Reduction in Mild Hypertension
2014/12/22 by Johan Sundström, Hisatomi Arima, Rod Jackson +5 · 3 citations
Medicine · Nursing · #Blood Pressure and Hypertension Studies #Sodium Intake and Health #Heart Failure Treatment and Management
- An explainable Transformer-based deep learning model for the prediction of incident heart failure
2021/01/27 by Shishir Rao, Yikuan Li, Rao, Shishir +15 · 2 citations
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals
2017/11/22 by Nathalie Conrad, Andrew Judge, Jenny Tran +8 · 1 citation
Medicine · #Heart Failure Treatment and Management #Cardiac pacing and defibrillation studies #Acute Myocardial Infarction Research #Medicine #Incidence (geometry) #Population #Demography #Cohort #Heart failure #Socioeconomic status #Cohort study #Pediatrics #Gerontology #Environmental health #Internal medicine