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Improving ascertainment of suicidal ideation and suicide attempt with natural language processing

Scientific reports, 2022-09, Vol.12 (1), p.15146-11, Article 15146

2022

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Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans

Computers in biology and medicine, 2021-06, Vol.133, p.104354-104354, Article 104354

2021

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Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis

Nature communications, 2024-03, Vol.15 (1), p.2568-10, Article 2568

2024

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Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth

BMC medicine, 2022-09, Vol.20 (1), p.333-333, Article 333

2022

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Public perspectives of monkeypox in Twitter: A social media analysis using machine learning

New microbes and new infections, 2022-11, Vol.49-50, p.101053-101053, Article 101053

2022

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Global trends of monkeypox-related articles: A bibliometric analysis over the last five decades (1964 – July 14, 2022)

Journal of infection and public health, 2023-09, Vol.16 (9), p.1333-1340

2023

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Evaluation of Genetic Associations with Clinical Phenotypes of Kidney Stone Disease

European urology open science (Online), 2024-09, Vol.67, p.38-44

2024

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Driver mutation zygosity is a critical factor in predicting clonal hematopoiesis transformation risk

Blood cancer journal (New York), 2024-01, Vol.14 (1), p.6-6, Article 6

2024

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HLA-A32:01 is strongly associated with vancomycin-induced drug reaction with eosinophilia and systemic symptoms

Journal of allergy and clinical immunology, 2019-07, Vol.144 (1), p.183-192

2019

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Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records

Journal of the American Medical Informatics Association : JAMIA, 2018-01, Vol.25 (1), p.61-71

2018

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DrugWAS: Drug‐wide Association Studies for COVID‐19 Drug Repurposing

Clinical pharmacology and therapeutics, 2021-12, Vol.110 (6), p.1537-1546

2021

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Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record

Urology (Ridgewood, N.J.), 2019-10, Vol.132, p.56-62

2019

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Kidney Stone Prevalence Based on Self-Report and Electronic Health Records: Insight into the Prevalence of Active Medical Care for Kidney Stones

Urology (Ridgewood, N.J.), 2023-03, Vol.173, p.55-60

2023

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Prediction of Future Health Care Utilization Through Note-extracted Psychosocial Factors

Medical care, 2022-08, Vol.60 (8), p.570-578

2022

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medExtractR: A targeted, customizable approach to medication extraction from electronic health records

Journal of the American Medical Informatics Association : JAMIA, 2020-03, Vol.27 (3), p.407-418

2020

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Cost-Effective and Scalable Clonal Hematopoiesis Assay Provides Insight into Clonal Dynamics

The Journal of molecular diagnostics : JMD, 2024-07, Vol.26 (7), p.563-573

2024

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Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning

American journal of epidemiology, 2023-02, Vol.192 (2), p.283-295

2023

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Contraceptive exposure associates with urinary tract infection risk in a cohort of reproductive-age women: a case control study

The European journal of contraception & reproductive health care, 2023-02, Vol.28 (1), p.17-22

2023

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Development of a System for Postmarketing Population Pharmacokinetic and Pharmacodynamic Studies Using Real‐World Data From Electronic Health Records

Clinical pharmacology and therapeutics, 2020-04, Vol.107 (4), p.934-943

2020

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Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (4), p.782-790

2021

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Desiderata for computable representations of electronic health records-driven phenotype algorithms

Journal of the American Medical Informatics Association : JAMIA, 2015-11, Vol.22 (6), p.1220-1230

2015

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PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis

Journal of the American Medical Informatics Association : JAMIA, 2024-08

2024

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Association of Chronic Kidney Disease Stage with 24-Hour Urine Values Among Patients with Nephrolithiasis

Journal of endourology, 2020-12, Vol.34 (12), p.1263-1271

2020

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PI3K Inhibition Restores and Amplifies Response to Ruxolitinib in Patients with Myelofibrosis

Clinical cancer research, 2023-07, Vol.29 (13), p.2375-2384

2023

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Improving ascertainment of suicidal ideation and suicide attempt with natural language processing

Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans

Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis

Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth

Public perspectives of monkeypox in Twitter: A social media analysis using machine learning

Global trends of monkeypox-related articles: A bibliometric analysis over the last five decades (1964 – July 14, 2022)

Evaluation of Genetic Associations with Clinical Phenotypes of Kidney Stone Disease

Driver mutation zygosity is a critical factor in predicting clonal hematopoiesis transformation risk

HLA-A32:01 is strongly associated with vancomycin-induced drug reaction with eosinophilia and systemic symptoms

Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records

DrugWAS: Drug‐wide Association Studies for COVID‐19 Drug Repurposing

Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record

Kidney Stone Prevalence Based on Self-Report and Electronic Health Records: Insight into the Prevalence of Active Medical Care for Kidney Stones

Prediction of Future Health Care Utilization Through Note-extracted Psychosocial Factors

medExtractR: A targeted, customizable approach to medication extraction from electronic health records

Cost-Effective and Scalable Clonal Hematopoiesis Assay Provides Insight into Clonal Dynamics

Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning

High burden of clonal hematopoiesis in first responders exposed to the World Trade Center disaster

Contraceptive exposure associates with urinary tract infection risk in a cohort of reproductive-age women: a case control study

Development of a System for Postmarketing Population Pharmacokinetic and Pharmacodynamic Studies Using Real‐World Data From Electronic Health Records

Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records

Desiderata for computable representations of electronic health records-driven phenotype algorithms

PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis

Association of Chronic Kidney Disease Stage with 24-Hour Urine Values Among Patients with Nephrolithiasis

PI3K Inhibition Restores and Amplifies Response to Ruxolitinib in Patients with Myelofibrosis

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