Machine learning takes a village: assessing neighbourhood-level vulnerability for an overdose and infectious disease outbreak JL Yedinak, Y Li, MS Krieger, K Howe, CD Ndoye, H Lee, AM Civitarese, ... International Journal of Drug Policy 96, 103395, 2021 | 9 | 2021 |
Cumulative social risk and cardiovascular disease among adults in South Korea: a cross-sectional analysis of a nationally representative sample HH Lee Preventing Chronic Disease 17, 2020 | 5 | 2020 |
Psychological stress, smoking, and hazardous drinking behaviors in South Korea: findings from the Korea National Health and Nutrition Examination Survey H Lee, HH Lee, A Kang, Y Cha, D Operario Journal of substance use 26 (1), 13-20, 2021 | 4 | 2021 |
Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers KH Bentley, KL Zuromski, RG Fortgang, EM Madsen, D Kessler, H Lee, ... JMIR formative research 6 (3), e30946, 2022 | 3 | 2022 |
Identifying high-risk comorbidities associated with opioid use patterns using electronic health record prescription data MV Jennings, H Lee, DB Rocha, SB Bianchi, BJ Coombes, RC Crist, ... Complex Psychiatry 8 (1-2), 47-56, 2022 | 2 | 2022 |
Multi-ancestry study of the genetics of problematic alcohol use in> 1 million individuals H Zhou, RL Kember, JD Deak, H Xu, S Toikumo, K Yuan, PA Lind, ... medRxiv, 2023.01. 24.23284960, 2023 | 1 | 2023 |
An efficient landmark model for prediction of suicide attempts in multiple clinical settings YH Sheu, J Sun, H Lee, VM Castro, Y Barak-Corren, E Song, EM Madsen, ... Psychiatry research 323, 115175, 2023 | | 2023 |
Post-traumatic growth in PhD students during the COVID-19 pandemic AK Tu, JR Haney, K O'Neill, A Swaminathan, KW Choi, H Lee, JW Smoller, ... Psychiatry Research Communications 3 (1), 100104, 2023 | | 2023 |
Identifying modifiable comorbidities of schizophrenia by integrating electronic health records and polygenic risk TJ Vessels, NJ Strayer, KW Choi, H Lee, S Zhang, L Han, TJ Morley, ... medRxiv, 2023.06. 01.23290057, 2023 | | 2023 |
Multi-ancestry meta-analysis of tobacco use disorders based on electronic health record data prioritizes novel candidate risk genes and reveals associations with numerous … S Toikumo, MV Jennings, B Pham, H Lee, TT Mallard, SB Bianchi, ... medRxiv, 2023.03. 27.23287713, 2023 | | 2023 |
Genes associated with depression and coronary artery disease are enriched for inflammation and cardiomyopathy-associated pathways K Singh, H Lee, JM Sealock, T Miller-Flemming, P Straub, NJ Cox, ... medRxiv, 2022.10. 25.22280854, 2022 | | 2022 |