Pathak, Jyotishman
Weill Cornell Medicine
14 papers on CoChatORCID 0000-0002-4856-410X
Most cited papers
- Verified
Deep learning in mental health outcome research: a scoping review
Su, C., Xu, Z., Pathak, J., & Wang, F. (2020) · Translational Psychiatry
Artificial Intelligence in HealthcareMachine Learning in Healthcare
Cited by 368
- Verified
Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium
Kho, A. N., Pacheco, J. A., Peissig, P. L., Rasmussen, L., Newton, K. M., Weston, N., Crane, P. K., Pathak, J., Chute, C. G., Bielinski, S. J., et al. (2011) · Science Translational Medicine
Electronic Health Records SystemsGenetic Associations and Epidemiology
Cited by 336
- Verified
The phenotypic legacy of admixture between modern humans and Neandertals
Simonti, C. N., Vernot, B., Bastarache, L., Bottinger, E., Carrell, D. S., Chisholm, R. L., Crosslin, D. R., Hebbring, S. J., Jarvik, G. P., Kullo, I. J., et al. (2016) · Science
Pleistocene-Era Hominins and ArchaeologyGenetic Associations and Epidemiology
Cited by 330
- Verified
Electronic health records-driven phenotyping: challenges, recent advances, and perspectives
Pathak, J., Kho, A. N., & Denny, J. C. (2013) · Journal of the American Medical Informatics Association
Electronic Health Records SystemsMachine Learning in Healthcare
Cited by 274
- Verified
Extracting social determinants of health from electronic health records using natural language processing: a systematic review
Patra, B. G., Sharma, M. M., Vekaria, V., Adekkanattu, P., Patterson, O. V., Glicksberg, B., Lepow, L. A., Ryu, E., Biernacka, J. M., Furmanchuk, A., et al. (2021) · Journal of the American Medical Informatics Association
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 248
- Verified
Evaluating the Process of Online Health Information Searching: A Qualitative Approach to Exploring Consumer Perspectives
Fiksdal, A. S., Kumbamu, A., Jadhav, A. S., Cocos, C., Nelsen, L. A., Pathak, J., & McCormick, J. B. (2014) · Journal of Medical Internet Research
Health Literacy and Information AccessibilityInformation Retrieval and Search Behavior
Cited by 189
- Verified
Multimodal mental health analysis in social media
Yazdavar, A. H., Mahdavinejad, M. S., Bajaj, G., Romine, W., Sheth, A., Monadjemi, A. H., Thirunarayan, K., Meddar, J. M., Myers, A., Pathak, J., et al. (2020) · PLOS ONE
Mental Health via WritingEmotion and Mood Recognition
Cited by 133
- Verified
Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation
Sholle, E. T., Pinheiro, L. C., Adekkanattu, P., Davila, M. A., Johnson, S. B., Pathak, J., Sinha, S., Li, C., Lubansky, S. A., Safford, M. M., et al. (2019) · Journal of the American Medical Informatics Association
Electronic Health Records SystemsMedical Coding and Health Information
Cited by 89
- Verified
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease
Mao, C., Xu, J., Rasmussen, L., Li, Y., Adekkanattu, P., Pacheco, J., Bonakdarpour, B., Vassar, R., Shen, L., Jiang, G., et al. (2023) · Journal of Biomedical Informatics
Machine Learning in HealthcareDementia and Cognitive Impairment Research
Cited by 67
- Verified
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
Yu, Z., Yang, X., Dang, C., Wu, S., Adekkanattu, P., Pathak, J., George, T. J., Hogan, W. R., Guo, Y., Bian, J., et al. (2021) · arXiv
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 38
- Verified
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias
Yu, Z., Peng, C., Yang, X., Dang, C., Adekkanattu, P., Gopal Patra, B., Peng, Y., Pathak, J., Wilson, D. L., Chang, C.-Y., et al. (2024) · Journal of Biomedical Informatics
Biomedical Text Mining and OntologiesMachine Learning in Healthcare
Cited by 37
- Verified
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model
Patra, B. G., Lepow, L. A., Kasi Reddy Jagadeesh Kumar, P., Vekaria, V., Sharma, M. M., Adekkanattu, P., Fennessy, B., Hynes, G., Landi, I., Sanchez-Ruiz, J. A., et al. (2025) · Journal of the American Medical Informatics Association
Biomedical Text Mining and OntologiesMachine Learning in Healthcare
Cited by 32
- Verified
Effects of social deprivation on risk factors for suicidal ideation and suicide attempts in commercially insured US youth and adults
Xi, W., Banerjee, S., Olfson, M., Alexopoulos, G. S., Xiao, Y., & Pathak, J. (2023) · Scientific Reports
Suicide and Self-Harm StudiesHealth disparities and outcomes
Cited by 23
- Verified
Personal life events—a promising dimension for psychiatry in electronic health records
Weissman, M. M., Pathak, J., & Talati, A. (2020) · JAMA Psychiatry
Electronic Health Records SystemsMedical Coding and Health Information
Cited by 16
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