Natural language processing (NLP) and machine learning (ML) model for predicting CMS OP-35 categories among patients receiving chemotherapy.

Anshul Saxena; Peter McGranaghan; Muni Rubens; Joseph A Salami; Raees Tonse; Amanda Lindeman; Michelle Keller; Paul Lindeman; Emir Veledar

doi:10.1200/jco.2021.39.15_suppl.e13591

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Natural language processing (NLP) and machine learning (ML) model for predicting CMS OP-35 categories among patients receiving chemotherapy.

Journal article

Peer reviewed

Natural language processing (NLP) and machine learning (ML) model for predicting CMS OP-35 categories among patients receiving chemotherapy.

Anshul Saxena, Peter McGranaghan, Muni Rubens, Joseph A Salami, Raees Tonse, Amanda Lindeman, Michelle Keller, Paul Lindeman and Emir Veledar

Journal of Clinical Oncology, Vol.39

2021

DOI: https://doi.org/10.1200/jco.2021.39.15_suppl.e13591

Abstract

e13591Background: The Hospital Outpatient Quality Reporting Program is a pay-for-quality data reporting program implemented by the Centers for Medicare & Medicaid Services (CMS). Hospitals collect ...

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Details

Title: Natural language processing (NLP) and machine learning (ML) model for predicting CMS OP-35 categories among patients receiving chemotherapy.
Creators: Anshul Saxena - Baptist Health South Florida
Peter McGranaghan - Miami Heart Research Institute
Muni Rubens - Baptist Hospital of Miami
Joseph A Salami - Baptist Health South Florida
Raees Tonse - Miami Heart Research Institute
Amanda Lindeman - Miami Heart Research Institute
Michelle Keller - Miami Heart Research Institute
Paul Lindeman - Miami Heart Research Institute
Emir Veledar - Baptist Health South Florida
Publication Details: Journal of Clinical Oncology, Vol.39
Publisher: American Society of Clinical Oncology (ASCO); United States
Academic Unit: Miller School of Medicine; UMMG Department of Neurology
Resource Type: Journal article
Record Identifier: 991031996613502976