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DBM을 활용한 EMR 기반의 스트로크환자의 재활프로토콜 추천 시스템
이선우(S. W. Lee),박경남(K. N. Park),김세진(S. J. Kim),원인수(I. S. Won),권장우(J. W. Kwon) 한국재활복지공학회 2017 한국재활복지공학회 학술대회논문집 Vol.2017 No.4
Most existing stroke rehabilitation training systems were determined by empirical treatment methods of doctors. Standard treatment guidelines for stroke rehabilitation have been introduced to address these problems. However, these guidelines are determined by the doctor"s objective judgment, and sometimes the doctor suggests different treatments for the same patient. In addition, there are cases where only the patient"s exercise function is presented and the individual"s risk management factor is missing during rehabilitation treatment. To solve these problems, this paper proposes a training method suitable for the patient using DBN (Deep Belief Network). In this method, a part of the patient"s EMR(Electronic Medical Records) data and a risk management factor are inputted and a method of presenting a suitable exercise to the patient is derived.