Validity of identification algorithms combining diagnostic codes with other measures for acute ischemic stroke in MID-NET®.

Masatoshi TanigawaMei KohamaTakahiro NonakaAtsuko SaitoAdo TamiyaHiroko NomuraYoko KataokaMasanobu OkauchiTakashi TamiyaRyusuke InoueMasaharu NakayamaTakahiro SuzukiYoshiaki UyamaHideto Yokoi

Published in: Pharmacoepidemiology and drug safety (2022)

The identification algorithms based on the combination of appropriate ICD-10 diagnostic codes in DPC data and other AIS treatment factors may be useful to studies for AIS at a national level using MID-NET®.

Keyphrases

acute ischemic stroke
machine learning
deep learning
bioinformatics analysis
big data
electronic health record
quality improvement