Author

Bobak J. Mortazavi

Texas A&M UniversityORCID 0000-0002-2655-2095Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chenxi HuangiD· 1 shared Frederick A. MasoudiiD· 1 shared Harlan M. KrumholziD· 1 shared John A. SpertusiD· 1 shared Julian S. HaimovichiD· 1 shared Nate Hurley· 1 shared Nihar R. DesaiiD· 1 shared Robert L. McNamaraiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Chenxi HuangORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 5, 2019

Machine-learning to Improve Prediction of Mortality following Acute Myocardial Infarction: An Assessment in the NCDR-Chest Pain-Myocardial Infarction Registry

Rohan Khera, Julian S. Haimovich, Nate Hurley…·Harlan M. Krumholz

This study develops and validates machine learning models to predict in-hospital mortality after acute myocardial infarction, finding improved performance compared to logistic regression.

4 citations

humanelectronic health records

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