| 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 … T Vos, RM Barber, B Bell, A Bertozzi-Villa, S Biryukov, I Bolliger, ... The lancet 386 (9995), 743-800, 2015 | 7000 | 2015 |
| Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of … GBDMCD Collaborators The Lancet, 2014 | 5730* | 2014 |
| Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying … CJL Murray, RM Barber, KJ Foreman, AA Ozgoren, F Abd-Allah, SF Abera, ... The Lancet 386 (10009), 2145-2191, 2015 | 2430* | 2015 |
| Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 … KJ Foreman, N Marquez, A Dolgert, K Fukutaki, N Fullman, M McGaughey, ... The Lancet 392 (10159), 2052-2090, 2018 | 2052 | 2018 |
| Global, regional, and national levels and causes of maternal mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 NJ Kassebaum, A Bertozzi-Villa, MS Coggeshall, KA Shackelford, ... The Lancet 384 (9947), 980-1004, 2014 | 2002 | 2014 |
| Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 CJL Murray, KF Ortblad, C Guinovart, SS Lim, TM Wolock, DA Roberts, ... The Lancet 384 (9947), 1005-1070, 2014 | 1272 | 2014 |
| Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990 … GBD 2013 Risk Factors Collaborators Lancet (London, England) 386 (10010), 2287, 2015 | 782 | 2015 |
| Sparse regression analysis of task-relevant information distribution in the brain I Rish, GA Cecchi, K Heuton, MN Baliki, AV Apkarian Proceedings of SPIE 8314, 831412, 2012 | 19 | 2012 |
| Schizophrenia classification using functional network features I Rish, GA Cecchi, K Heuton SPIE Medical Imaging, 83170W-83170W-8, 2012 | 6 | 2012 |
| Prediction-constrained markov models for medical time series with missing data and few labels P Rath, G Hope, K Heuton, EB Sudderth, MC Hughes NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | 3 | 2022 |
| Predicting Spatiotemporal Counts of Opioid-related Fatal Overdoses via Zero-Inflated Gaussian Processes K Heuton, S Shrestha, TJ Stopka, J Pustz, LP Liu, MC Hughes The 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling …, 2022 | 2 | 2022 |
| Risking our future: a comparative risk assessment of the burden of disease and injury in young people aged 10–24 years, 1990–2010 K Heuton, R Lozano The Lancet 381, S61, 2013 | 1 | 2013 |
| Spatiotemporal Forecasting of Opioid-related Fatal Overdoses: Towards Best Practices for Modeling and Evaluation K Heuton, J Kapoor, S Shrestha, TJ Stopka, MC Hughes medRxiv, 2024.01. 03.24300803, 2024 | | 2024 |
| Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | | 2023 |
| Forecasting opioid-related fatal overdoses: Striving towards strong baselines and best evaluation practices K Heuton, TJ Stopka, S Shrestha, J Pustz, L Liu, M Hughes APHA 2023 Annual Meeting and Expo, 2023 | | 2023 |
| Forecasting Exposure to Occupational Back Pain: 2013–2040 KR Heuton | | 2015 |
| Learning where to intervene with a differentiable top-K operator: Towards data-driven strategies to prevent fatal opioid overdoses K Heuton, S Shrestha, T Stopka, MC Hughes ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 0 | | |
