| Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals H Zhou, RL Kember, JD Deak, H Xu, S Toikumo, K Yuan, PA Lind, ... Nature Medicine 29 (12), 3184-3192, 2023 | 23 | 2023 |
| 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 | 18 | 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 | 10 | 2022 |
| 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 | 6 | 2020 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| 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 | 2 | 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 | 2 | 2023 |
| Development and multi-site external validation of a generalizable risk prediction model for bipolar disorder CG Walsh, MA Ripperger, Y Hu, Y Sheu, H Lee, D Wilimitis, AB Zheutlin, ... Translational Psychiatry 14 (1), 58, 2024 | 1 | 2024 |
| Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes S Toikumo, MV Jennings, BK Pham, H Lee, TT Mallard, SB Bianchi, ... Nature Human Behaviour, 1-17, 2024 | | 2024 |
| Genes associated with depression and coronary artery disease are enriched for cardiomyopathy and inflammatory phenotypes K Singh, H Lee, JM Sealock, T Miller-Fleming, P Straub, NJ Cox, QS Wells, ... Nature Mental Health, 1-9, 2024 | | 2024 |
| Integrating electronic health records and polygenic risk to identify genetically unrelated comorbidities of schizophrenia that might be modifiable T Vessels, N Strayer, H Lee, KW Choi, S Zhang, L Han, TJ Morley, ... Biological Psychiatry Global Open Science, 100297, 2024 | | 2024 |
| Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study KH Bentley, EM Madsen, E Song, Y Zhou, V Castro, H Lee, YH Lee, ... JMIR Formative Research 8, e46364, 2024 | | 2024 |
| Continuous-Time and Dynamic Suicide Attempt Risk Prediction with Neural Ordinary Differential Equations Y Sheu, J Simm, B Wang, H Lee, J Smoller medRxiv, 2024.02. 25.24303343, 2024 | | 2024 |
| Machine Learning Models for the Prediction of Early-Onset Bipolar Using Electronic Health Records B Wang, Y Sheu, H Lee, RG Mealer, VM Castro, JW Smoller medRxiv, 2024.02. 19.24302919, 2024 | | 2024 |
| Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models TJ Morley, D Willimitis, M Ripperger, H Lee, L Han, Y Zhou, J Kang, ... medRxiv, 2023 | | 2023 |
| Association Between Psychiatric Polygenic Scores, Healthcare Utilization and Comorbidity Burden HL Kirchner, D Rocha, RK Linner, D Wilimitis, CG Walsh, M Ripperger, ... medRxiv, 2023 | | 2023 |
Jordan SmollerMassachusetts General HospitalVerified email at broadinstitute.org
