동의신경정신과학회지 (Journal of Oriental Neuropsychiatry)

  • 제35권3호
  • /
  • Pages.231-246
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  • 2024
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  • 1226-6396(pISSN)
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  • 2234-4942(eISSN)
대한한방신경정신과학회 (The Korean Society of Oriental Neuropsychiatry)
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불안, 우울, 분노 및 불면 증상에 대한 한의학파 처방 추천 임상 데이터 구축을 위한 기초 연구

A Preliminary Study on the Construction of Clinical Data for Korean Herbal Prescription Recommendations for Anxiety, Depression, Anger, and Insomnia

  • 강동훈 (대전대학교 한의과대학 한방신경정신과학교실) ;
  • 김주연 (대전대학교 한의과대학 한방신경정신과학교실) ;
  • 이지윤 (대전대학교 한의과대학 한방신경정신과학교실) ;
  • 김제현 (대전대학교 대전한방병원 임상시험센터) ;
  • 예상준 (한국한의학연구원 한의약데이터부) ;
  • 장호 (한국한의학연구원 한의약데이터부) ;
  • 이상훈 (한국한의학연구원 한의약데이터부) ;
  • 정인철 (대전대학교 한의과대학 한방신경정신과학교실)
  • Dong-Hoon Kang (Department of Oriental Neuropsychiatry, College of Korean Medicine, Daejeon University) ;
  • Ju-Yeon Kim (Department of Oriental Neuropsychiatry, College of Korean Medicine, Daejeon University) ;
  • Ji-Yoon Lee (Department of Oriental Neuropsychiatry, College of Korean Medicine, Daejeon University) ;
  • Je-Hyun Kim (Clinical Trial Center, Daejeon Korean Medicine Hospital of Daejeon University) ;
  • Sangjun Yea (KM Data Vision, Korea Institute of Oriental Medicine) ;
  • Ho Jang (KM Data Vision, Korea Institute of Oriental Medicine) ;
  • Sanghun Lee (KM Data Vision, Korea Institute of Oriental Medicine) ;
  • In Chul Jung (Department of Oriental Neuropsychiatry, College of Korean Medicine, Daejeon University)
  • 투고 : 2024.08.23
  • 심사 : 2024.09.21
  • 발행 : 2024.09.30
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초록

Objectives: To build basic clinical data for developing an artificial intelligence algorithm for Korean herbal prescriptions for anxiety, depression, anger, and insomnia. Methods: Subjects were recruited among those who reported mild or more severe symptoms of anxiety, depression, anger, and insomnia (Anxiety: State-Trait Anxiety Inventory≥40, Depression: Beck Depression Inventory≥14, Anger: State-Trait Anxiety Inventory≥16, Insomnia: Insomnia Severity Index≥8). Clinical observation items including basic medical information and symptoms were collected from them. These data were then analyzed by experts in Hyungsang medicine, Sasang constitutional medicine, and Sanghan-Geumgwe medicine. Results and Conclusions: Experts of the three societies presented key clinical data and recommended prescriptions. Results of this study can be used as basic data for developing an artificial intelligence algorithm for Korean herbal prescriptions in the future.

키워드

과제정보

This research is supported by grants from Korea Institute of Oriental Medicine [KSN1923111].

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