Author

Aymen A. Elfiky

Brigham and Women's Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Maximilian Julius Pany· 1 shared Ravi Bharat ParikhiD· 1 shared Ziad ObermeyeriD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Maximilian Julius Pany

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1 paper

Recent·Most cited

A machine learning approach to predicting short-term mortality risk in patients starting chemotherapy

Aymen A. Elfiky, Maximilian Julius Pany, Ravi Bharat Parikh, Ziad Obermeyer

This paper develops a machine learning model to predict short-term mortality risk in chemotherapy patients using electronic health records, achieving high accuracy across various cancer types and treatment regimens.

bioRxiv · Oct 19, 2017 · PreprintBioinformatics