Jessica D Tenenbaum

Jessica D Tenenbaum

Duke University

H-index: 23

North America-United States

About Jessica D Tenenbaum

Jessica D Tenenbaum, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at Duke University, specializes in the field of mental health informatics, precision medicine, translational bioinformatics, ELSI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Health Care Cost Reductions with Machine Learning–Directed Evaluations during Radiation Therapy—An Economic Analysis of a Randomized Controlled Study

Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study

Data governance and the need for organization-wide guidance to enable and facilitate data sharing: lessons learned from North Carolina

Association of mental health diagnosis with race and all‐cause mortality after a cancer diagnosis: Large‐scale analysis of electronic health record data

Gender representation in US biomedical informatics leadership and recognition

Translational bioinformatics

Impact of machine learning-directed on-treatment evaluations on cost of acute care visits: Economic analysis of SHIELD-RT.

Jessica D Tenenbaum Information

University

Position

Biomedical Informatics

Citations(all)

2777

Citations(since 2020)

1810

Cited By

1557

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

35

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Jessica D Tenenbaum Skills & Research Interests

mental health informatics

precision medicine

translational bioinformatics

ELSI

Top articles of Jessica D Tenenbaum

Health Care Cost Reductions with Machine Learning–Directed Evaluations during Radiation Therapy—An Economic Analysis of a Randomized Controlled Study

NEJM AI

2024/3/28

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study

BMJ health & care informatics

2023

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Data governance and the need for organization-wide guidance to enable and facilitate data sharing: lessons learned from North Carolina

Journal of Public Health Management and Practice

2022/9/1

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Association of mental health diagnosis with race and all‐cause mortality after a cancer diagnosis: Large‐scale analysis of electronic health record data

Cancer

2022/1/15

Gender representation in US biomedical informatics leadership and recognition

Journal of the American Medical Informatics Association

2021/6/1

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Translational bioinformatics

2021/6/1

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Russ B Altman
Russ B Altman

H-Index: 68

Impact of machine learning-directed on-treatment evaluations on cost of acute care visits: Economic analysis of SHIELD-RT.

2021/5/20

Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers

Journal of the American Medical Informatics Association

2021/2/1

9.1 The Problem of Handling Biological Information–275

2021

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Russ B Altman
Russ B Altman

H-Index: 68

Precision medicine and a learning health system for mental health

2021/11/19

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Technologies for the computable representation and sharing of data and knowledge in mental health

2021/11/19

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Mental health informatics: enabling a learning mental healthcare system

2021/11/18

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Machine learning algorithm prospectively predicts survival for high-risk patients undergoing radiotherapy: A survival analysis of SHIELD-RT

International Journal of Radiation Oncology, Biology, Physics

2021/11/1

US adult perspectives on facial images, DNA, and other biometrics

IEEE transactions on technology and society

2021/10/18

A survey of US public perspectives on facial recognition technology and facial imaging data practices in health and research contexts

PloS one

2021/10/14

Precision Medicine and Informatics

2021/6/1

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Natural language processing for abstraction of cancer treatment toxicities: accuracy versus human experts

JAMIA open

2020/12/1

Jessica D Tenenbaum
Jessica D Tenenbaum

H-Index: 17

Healthcare Staff Sentiment Of Clinical Machine Learning Implementation On The Prospective System For High Intensity Evaluation During Radiotherapy (SHIELD-RT) Study

International Journal of Radiation Oncology, Biology, Physics

2020/11/1

See List of Professors in Jessica D Tenenbaum University(Duke University)

Co-Authors

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