Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning Techniques

Yasunobu Nohara, Koutarou Matsumoto, Naoki Nakashima

Research output: Contribution to journalArticle

Abstract

Identifying important predicative indicators for prognosis is useful since these factors help for understanding diseases and determining treatments for patients. We extracted important factors for prognosis of cerebral infarction from EHR. We analyzed EHR data of 1,697 patients with 1,602 variables using gradient boosting decision tree. Extracted factors include not only well-known factors such as NIHSS but also new factors such as albumin-globulin ratio.

Original languageEnglish
Pages (from-to)1280
JournalStudies in Health Technology and Informatics
Volume245
Publication statusPublished - Jan 2018

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