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Predicting Functional Outcomes of Patients With Stroke Using Machine Learning: A Systematic Review (머신러닝을 활용한 뇌졸중 환자의 기능적 결과 예측: 체계적 고찰)

  • Bae, Suyeong;Lee, Mi Jung;Nam, Sanghun;Hong, Ickpyo
    • Therapeutic Science for Rehabilitation
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    • v.11 no.4
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    • pp.23-39
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    • 2022
  • Objective : To summarize clinical and demographic variables and machine learning uses for predicting functional outcomes of patients with stroke. Methods : We searched PubMed, CINAHL and Web of Science to identify published articles from 2010 to 2021. The search terms were "machine learning OR data mining AND stroke AND function OR prediction OR/AND rehabilitation". Articles exclusively using brain imaging techniques, deep learning method and articles without available full text were excluded in this study. Results : Nine articles were selected for this study. Support vector machines (19.05%) and random forests (19.05%) were two most frequently used machine learning models. Five articles (55.56%) demonstrated that the impact of patient initial and/or discharge assessment scores such as modified ranking scale (mRS) or functional independence measure (FIM) on stroke patients' functional outcomes was higher than their clinical characteristics. Conclusions : This study showed that patient initial and/or discharge assessment scores such as mRS or FIM could influence their functional outcomes more than their clinical characteristics. Evaluating and reviewing initial and or discharge functional outcomes of patients with stroke might be required to develop the optimal therapeutic interventions to enhance functional outcomes of patients with stroke.

A Study on the Characteristics of the Wealth and nobility Interpretation System of 『Japyeongjinjeon』, 『Jeokcheonsu』 (『자평진전』, 『적천수』의 부·귀 해석체계 특징 고찰)

  • Kim, Seung-Jong;Kim, Ki-Seung
    • Industry Promotion Research
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    • v.6 no.3
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    • pp.71-78
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    • 2021
  • The purpose of this paper is to examine the characteristics of the rich and noble interpretation system of 『Japyeongjinjeon』 and 『Jeokcheonsu』. Myungrihak is a study that began with the study of human wealth and nobility There are 『Japyeongjinjeon』 and 『Jeokcheonsu』 as two major classics of Myeongrihak. However, while these representative books are similar to each other in the interpretation system for the interpretation of wealth and nobility, they also have different aspects. Looking at this. In 『Jepyeong Jinjeon』, the success or failure of the Su-Ju is judged first. If it is Seong-Gyeog (成格), it becomes a good Su-ju (吉), and if it is a Pae-Gyeog (敗格), it becomes a bad Sa-Ju (凶). Even when it comes to Seong-Gyeog, among them there are Gui-Gyeong (貴格) and great Gui-Gyeong (大貴格). Representative great Gui-Gyeong include Jaein-Byeongtu (財印並透), Sigsin -Saengjae (食神生財), Sigsin-Hapsal (食神合煞), Sal-yongsigje (煞用食制) and Sanggwan-Yonggwan (傷官用官). In 『Jeokcheonsu』, there is Jaegi-tongmun (財氣通門) as a Su-Ju with wealth and Gwanseong-Ihoe as a Su-Ju with nobility (貴). Hyundai Group Chairman Chung Ju-young, the representative chaebol of Korea, becomes a Seong-Gyeog in the argument of Japyeong Jinjeon』 and is a Sigsin -Saengjae, and Jaegi-tongmun according to the argument of 『Jeokcheonsu』 are met The first, third, and seventh conditions. Samsung Group Chairman Lee Byung-cheol meets the seventh condition clearly in the argument of 『Jeepyeong Jinjeon』, which is Seong-Gyeog and Sal-yongsigje. In this study, we find out what kind of interpretation method there are and how they differ from the two classics through the original text. In addition, the suitability of the theoretical composition is examined by comparing and examining the characteristics of the rich and noble interpretation system through empirical examples of modern representatives. It is hoped that it will be of some help to related research in the future.