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기계학습 기법을 이용한 AI 처방의사결정 지원 플랫폼 개발 연구
임태환 ( Tae-hwan Lim ),허준녕 ( Joonnyung Heo ),정혜민 ( Hye-min Jeong ),박삼수 ( Sam-soo Park ),구영환 ( Koo Young-hwan ) 국군의무사령부 2021 대한군진의학학술지 Vol.52 No.1
Objective; Development of Prescription AI decision support system with machine learning Method; An Android based mobile application was developed to provide the user the results from the statistical model we developed. Machine learning model to predict the consumption rate of medical resources was developed with Tensorflow. Result; The solution developed for this study can provide decision support for army medical officers by providing the frequency of prescription for the diagnosis. We can predict the demand for medical supply using the machine learning algorithm developed for this study. The prediction may be helpful in saving costs and meeting supply for demand. Conclusion; The application developed for this study may be not only helpful for increasing accuracy for the management of patients but also be resourceful for the physicians, especially for the first-year army officers or general physicians.