jeremiah r brown - Epidemiology

Author Information

Jeremiah R. Brown is affiliated with The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire. He also holds positions in the Department of Epidemiology and the Department of Biomedical Data Science at the same institution. His research primarily focuses on the intersection of epidemiology, healthcare policy, and biomedical data science.

Research Contributions

Jeremiah R. Brown has made significant contributions to the fields of epidemiology and biomedical data science. His research includes the development of prediction models for healthcare outcomes, particularly focusing on readmission risks post-cardiac events such as acute myocardial infarction and congenital heart surgeries. His work also explores the utility of natural language processing (NLP) in extracting relevant information from electronic health records to improve patient care. Notably, his studies involve the use of novel biomarkers and machine learning models to enhance the prediction of patient readmissions and mortality. He has also investigated the implications of wearable devices in monitoring health conditions such as atrial fibrillation.

Aliases

Jeremiah Brown, Jeremiah R Brown

Publication and Citation Metrics

Metric	Value
Citation Count	7673
h-index	40
Paper Count	219

Publications:

Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

DOI: 10.1161/JAHA.121.024198

Year: 2022

Abstract 10834: Novel Biomarkers and Machine Learning Models for the Prediction of 30-Day Readmission Following Pediatric Congenital Heart Surgery

DOI: 10.1161/circ.144.suppl_1.10834

Year: 2021

Improving the prediction of long‐term readmission and mortality using a novel biomarker panel

DOI: 10.1111/jocs.15954

Year: 2021

Development of Electronic Health Record–Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction

DOI: 10.1001/jamanetworkopen.2020.35782

Year: 2021

Abstract P180: Hospital Readmission After Pediatric Congenital Heart Surgery: A Systematic Review And Meta-analysis Of Potential Risk Factors

DOI: 10.1161/CIRC.143.SUPPL_1.P180

Year: 2021

Cardiology providers’ recommendations for treatments and use of patient decision aids for multivessel coronary artery disease

DOI: 10.1186/s12872-021-02223-y

Year: 2021

Modifying the Risk of Contrast‐Associated Acute Kidney Injury in Percutaneous Coronary Interventions and Transcatheter Aortic Valve Implantations

DOI: 10.1161/JAHA.121.022099

Year: 2021

Abstract P013: Validating The Utility Of Plasma Biomarkers In The Prediction Of Readmission Or Mortality Following Congenital Heart Surgery

DOI: 10.1161/CIRC.143.SUPPL_1.P013

Year: 2021

Adaptation of an NLP system to a new healthcare environment to identify social determinants of health

DOI: 10.1016/j.jbi.2021.103851

Year: 2021

Association of Wearable Device Use With Pulse Rate and Health Care Use in Adults With Atrial Fibrillation

DOI: 10.1001/jamanetworkopen.2021.5821

Year: 2021

What are the Challenges in Detection?

What Role Does Funding Play in Epidemiology?

Why is Conjugation Important in Epidemiology?

How Can Epidemiologists Leverage Media Exposure?

Why Is Engagement Important?

Are There Any Limitations to Spectrophotometry in Epidemiology?

How are Drug Efficacy Studies Designed?

What Are Conflicting Priorities?

Who Should Enroll in These Programs?

What is the Impact of Early Diagnosis on Prognosis?

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