Development of stroke identification algorithm for claims data using the multicenter stroke registry database.

Jun Yup KimKeon-Joo LeeJihoon KangBeom Joon KimMoon-Ku HanSeong-Eun KimHeeyoung LeeJong-Moo ParkKyusik KangSoo Joo LeeJae Guk KimJae-Kwan ChaDae-Hyun KimTai Hwan ParkMoo-Seok ParkSang-Soon ParkKyung Bok LeeHong Kyun ParkYong-Jin ChoKeun-Sik HongKang-Ho ChoiJoon-Tae KimDong-Eog KimWi-Sun RyuJay Chol ChoiMi-Sun OhKyung-Ho YuByung-Chul LeeKwang-Yeol ParkJi Sung LeeSujung JangJae Eun ChaeJuneyoung LeeHee Joon Baenull null

Published in: PloS one (2020)

Our stroke identification algorithm may be useful to grasp stroke burden in Korea. However, further efforts to refine the algorithm are necessary.

Keyphrases

atrial fibrillation
machine learning
deep learning
cerebral ischemia
health insurance
clinical trial
electronic health record
risk factors
brain injury
quality improvement
adverse drug
artificial intelligence
neural network
subarachnoid hemorrhage
blood brain barrier
data analysis