Pascal Brandt

Pascal Brandt

University of Washington

H-index: 9

North America-United States

About Pascal Brandt

Pascal Brandt, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Biomedical Informatics, Computer Science, Digital Health, Data Science.

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

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records

Characterizing variability of electronic health record-driven phenotype definitions

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Design and validation of a FHIR-based EHR-driven phenotyping toolbox

Characterizing Variability of EHR-Driven Phenotype Definitions

CQL4NLP: development and integration of FHIR NLP extensions in clinical quality language for EHR-driven phenotyping

StayHome: a FHIR-native mobile COVID-19 symptom tracker and public health reporting tool

Pascal Brandt Information

University

Position

___

Citations(all)

157

Citations(since 2020)

152

Cited By

22

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Pascal Brandt Skills & Research Interests

Biomedical Informatics

Computer Science

Digital Health

Data Science

Top articles of Pascal Brandt

Title

Journal

Author(s)

Publication Date

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Psychiatric Research and Clinical Practice

Zhenxing Xu

Veer Vekaria

Fei Wang

Judith Cukor

Chang Su

...

2023/12

Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records

Scientific Reports

Jie Xu

Fei Wang

Chengxi Zang

Hao Zhang

Kellyann Niotis

...

2023/5/19

Characterizing variability of electronic health record-driven phenotype definitions

Journal of the American Medical Informatics Association

Pascal S Brandt

Abel Kho

Yuan Luo

Jennifer A Pacheco

Theresa L Walunas

...

2023/3/1

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Scientific Reports

Prakash Adekkanattu

Luke V Rasmussen

Jennifer A Pacheco

Joseph Kabariti

Daniel J Stone

...

2023/1/6

Design and validation of a FHIR-based EHR-driven phenotyping toolbox

Journal of the American Medical Informatics Association

Pascal S Brandt

Jennifer A Pacheco

Prakash Adekkanattu

Evan T Sholle

Sajjad Abedian

...

2022/9/1

Characterizing Variability of EHR-Driven Phenotype Definitions

medRxiv

Pascal S Brandt

Abel Kho

Yuan Luo

Jennifer A Pacheco

Theresa L Walunas

...

2022/7/10

CQL4NLP: development and integration of FHIR NLP extensions in clinical quality language for EHR-driven phenotyping

AMIA Summits on Translational Science Proceedings

Andrew Wen

Luke V Rasmussen

Daniel Stone

Sijia Liu

Rick Kiefer

...

2021

StayHome: a FHIR-native mobile COVID-19 symptom tracker and public health reporting tool

Online Journal of Public Health Informatics

Hannah A Burkhardt

Pascal S Brandt

Jenney R Lee

Sierramatice W Karras

Paul F Bugni

...

2021

Development of a repository of computable phenotype definitions using the clinical quality language

JAMIA open

Pascal S Brandt

Jennifer A Pacheco

Luke V Rasmussen

2021/10/1

A continuously benchmarked and crowdsourced challenge for rapid development and evaluation of models to predict COVID-19 diagnosis and hospitalization

JAMA Network Open

Yao Yan

Thomas Schaffter

Timothy Bergquist

Thomas Yu

Justin Prosser

...

2021/10/1

Fenotipagem orientada por EHR

Pascal Brandt

2021

EHR-Driven Phenotyping

Pascal S Brandt

2021

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

AMIA Annual Symposium Proceedings

Prakash Adekkanattu

Guoqian Jiang

Yuan Luo

Paul R Kingsbury

Zhenxing Xu

...

2019

Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records

Learning Health Systems

Jie Xu

Fei Wang

Zhenxing Xu

Prakash Adekkanattu

Pascal Brandt

...

2020/10

Subphenotyping depression using machine learning and electronic health records

Learning Health Systems

Zhenxing Xu

Fei Wang

Prakash Adekkanattu

Budhaditya Bose

Veer Vekaria

...

2020/10

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Learning health systems

Pascal S Brandt

Richard C Kiefer

Jennifer A Pacheco

Prakash Adekkanattu

Evan T Sholle

...

2020/10

See List of Professors in Pascal Brandt University(University of Washington)

Co-Authors

H-index: 80
Fei Wang, FAMIA, FIAHSI, FACMI

Fei Wang, FAMIA, FIAHSI, FACMI

Cornell University

H-index: 75
Tulio de Oliveira

Tulio de Oliveira

University of KwaZulu-Natal

H-index: 47
Yuan Luo

Yuan Luo

North Western University

H-index: 39
Jessica Ancker

Jessica Ancker

Cornell University

H-index: 37
Luke V. Rasmussen

Luke V. Rasmussen

North Western University

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