Illuminating the black box: interpreting deep neural network models for psychiatric research Y Sheu Frontiers in Psychiatry 11, 551299, 2020 | 93 | 2020 |
Firearm access and adolescent suicide risk: toward a clearer understanding of effect size SA Swanson, M Eyllon, YH Sheu, M Miller Injury prevention 27 (3), 264-270, 2021 | 60 | 2021 |
SSRI use and risk of fractures among perimenopausal women without mental disorders Y Sheu, A Lanteigne, T Stürmer, V Pate, D Azrael, M Miller Injury prevention 21 (6), 397-403, 2015 | 52 | 2015 |
Serotonin–norepinephrine reuptake inhibitor and selective serotonin reuptake inhibitor use and risk of fractures: a new-user cohort study among US adults aged 50 years and older A Lanteigne, Y Sheu, T Stürmer, V Pate, D Azrael, SA Swanson, M Miller CNS drugs 29, 245-252, 2015 | 47 | 2015 |
Large language models in mental health care: a scoping review Y Hua, F Liu, K Yang, Z Li, H Na, Y Sheu, P Zhou, LV Moran, S Ananiadou, ... arXiv preprint arXiv:2401.02984, 2024 | 44 | 2024 |
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia ML Charpignon, B Vakulenko-Lagun, B Zheng, C Magdamo, B Su, ... Nature communications 13 (1), 7652, 2022 | 39 | 2022 |
AI-assisted prediction of differential response to antidepressant classes using electronic health records Y Sheu, C Magdamo, M Miller, S Das, D Blacker, JW Smoller NPJ Digital Medicine 6 (1), 73, 2023 | 35 | 2023 |
Dosage and duration of antipsychotic treatment in demented outpatients with agitation or psychosis YT Lin, TJ Hwang, JC Shan, HL Chiang, YH Sheu, HG Hwu Journal of the Formosan Medical Association 114 (2), 147-153, 2015 | 26 | 2015 |
Rapid response to antipsychotic treatment on psychotic prodrome: implications from a case series CC Liu, YH Sheu, SY Wu, MC Lai, HG Hwu Psychiatry and clinical neurosciences 64 (2), 202-206, 2010 | 13 | 2010 |
Impact of selection bias on polygenic risk score estimates in healthcare settings YH Lee, T Thaweethai, YH Sheu, YCA Feng, EW Karlson, T Ge, P Kraft, ... Psychological Medicine 53 (15), 7435-7445, 2023 | 12 | 2023 |
Drug repurposing of metformin for Alzheimer’s disease: Combining causal inference in medical records data and systems pharmacology for biomarker identification ML Charpignon, B Vakulenko-Lagun, B Zheng, C Magdamo, B Su, ... medRxiv, 2021.08. 10.21261747, 2021 | 10 | 2021 |
Physical Fitness and Risk of Mental Disorders in Children and Adolescents HL Chiang, YF Chuang, YA Chen, CT Hsu, CC Ho, HT Hsu, YH Sheu, ... JAMA pediatrics, 2024 | 6 | 2024 |
An efficient landmark model for prediction of suicide attempts in multiple clinical settings Y Sheu, J Sun, H Lee, VM Castro, Y Barak-Corren, E Song, EM Madsen, ... Psychiatry research 323, 115175, 2023 | 6 | 2023 |
AI-assisted prediction of differential response to antidepressant classes using electronic health records. Npj Digit Med 6: 73 Y Sheu, C Magdamo, M Miller, S Das, D Blacker, JW Smoller | 6 | 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 | 4 | 2024 |
Initial antidepressant choice by non-psychiatrists: Learning from large-scale electronic health records Y Sheu, C Magdamo, M Miller, JW Smoller, D Blacker General hospital psychiatry 81, 22-31, 2023 | 4 | 2023 |
Using deep learning to identify patients with cognitive impairment in electronic health records T Tyagi, CG Magdamo, A Noori, Z Li, X Liu, M Deodhar, Z Hong, W Ge, ... arXiv preprint arXiv:2111.09115, 2021 | 4 | 2021 |
Phenotyping antidepressant treatment response with deep learning in electronic health records Y Sheu, C Magdamo, M Miller, S Das, D Blacker, JW Smoller medRxiv, 2021.08. 04.21261512, 2021 | 4 | 2021 |
Active deep learning to detect cognitive concerns in electronic health records CG Magdamo, ZM Hong, A Noori, YH Sheu, M Deodhar, EM Ye, W Ge, ... Alzheimer's & Dementia 17, e055362, 2021 | 2 | 2021 |
Natural language processing to detect cognitive concerns in electronic health records using deep learning Z Hong, CG Magdamo, Y Sheu, P Mohite, A Noori, EM Ye, W Ge, H Sun, ... arXiv preprint arXiv:2011.06489, 2020 | 2 | 2020 |