Pascal Brandt - Concepedia

Author

Pascal Brandt

Northwestern University ORCID

Also Known As

Brandt, Pascal, Brandt, Pascal S., P Brandt, Pascal Brandt, Pascal S Brandt, Pascal S. Brandt

Publications

273

Citations

H-Index

Concepts

All Affiliations

Northwestern University Cornell University Weill Cornell Medicine University of Washington University of Washington Medical Center

About

Pascal Brandt is an author at Northwestern University specializing in health informatics, engineering, and public health.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	2	2	35
2	Public Health	2	2	34
3	Health Sciences	1	1	12
4	Medicine	1	1	11
5	Biostatistics	1	1	23

Pascal Brandt

Publications

236

Citations

H-Index

Page 1

	Year	Citations
<scp>Data‐driven</scp> discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records Jie Xu, Fei Wang, Zhenxing Xu, Learning Health Systems	2020	41
Subphenotyping depression using machine learning and electronic health records Zhenxing Xu, Fei Wang, Prakash Adekkanattu, Learning Health Systems	2020	29
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. Luke V. Rasmussen, Pascal Brandt, Guoqian Jiang, PubMed EngineeringGenetic EpidemiologyPhenotype Algorithm LogicData ScienceDigital Health	2019	23
Toward <scp>cross‐platform</scp> electronic health record<scp>‐driven</scp> phenotyping using Clinical Quality Language Pascal Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Learning Health Systems	2020	23
A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization Yao Yan, Thomas Schaffter, Timothy Bergquist, JAMA Network Open	2021	19
Characterizing variability of electronic health record-driven phenotype definitions Pascal Brandt, Abel Kho, Yuan Luo, Journal of the American Medical Informatics Association	2022	18
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study Prakash Adekkanattu, Luke V. Rasmussen, Jennifer A. Pacheco, Scientific Reports	2023	15
Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records Zhenxing Xu, Veer Vekaria, Fei Wang, Psychiatric Research and Clinical Practice	2023	14
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, PubMed EngineeringSpeech CorpusMulti-site Observational StudyNlp ApproachesCorpus Linguistics	2019	12
StayHome: A FHIR-Native Mobile COVID-19 Symptom Tracker and Public Health Reporting Tool Hannah A Burkhardt, Pascal Brandt, Jenney R. Lee, Online Journal of Public Health Informatics Covid-19 EpidemiologyCovid-19Preventive MedicineConnected HealthDigital Health	2021	11

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