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Hyunjoon Lee
Hyunjoon Lee
Massachusetts General Hospital
在 mgh.harvard.edu 的电子邮件经过验证
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引用次数
引用次数
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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
92021
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
52020
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
42021
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
32022
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
22022
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
12023
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
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