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
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
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.
Abstract
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.
참고문헌 (39)
- Jeon JH, "Top 10 Key Standardization and Perspectives on Artificial Intelligence in Medicine", Electronics and Telecommunications Trends, 35(2), pp.1~16 (2020)[DOI]
- Nensa F, "Artificial Intelligence in Nuclear Medicine", Journal of nuclear medicine, 60(Suppl 2), pp.29S~37S (2019)[DOI]
- Hashimoto DA, "Artificial Intelligence in Anesthesiology : Current Techniques, Clinical Applications, and Limitations", Anesthesiology, 132(20), pp.379~394 (2020)[DOI]
- Keskinbora K, "Artificial Intelligence and Ophthalmology", Turkish journal of ophthalmology, 50(1), pp.37~43 (2020)[DOI]
- Seo JB, "The Role of medical doctor in the era of artificial intelligence", Journal of the Korean Medical Association, 62(3), pp.136~139 (2019)[DOI]
- Park SH, "Artificial Intelligence in Medicine : Beginner’s Guide", Journal of the Korean Society of Radiology, 78(5), pp.301~308 (2018)[DOI]
- Hwang JJ, "Future perspectives of artificial intelligence", The Journal of the Korean Dental Association, 60(5), pp.290~298 (2022)[DOI]
- Constantiou ID, "New games, new rules : big data and the changing context of strategy", Journal of Information Technology, 30(1), pp.44~57 (2015)[DOI]
- Kim SK, "Construction of Prescription Support System Based on Korean Medicine Ontology", Journal of Knowledge Information Technology and Systems, 15(4), pp.561~571 (2020)[DOI]
- Yea SJ, "Process Design and System Implementation for Building Machine Learning Data to Suggest Prescriptions by Korean Medicine School", Journal of Knowledge Information Technology and Systems, 16(5), pp.1091~1102 (2021)[DOI]
- Lee S, "Comparative Study on Frequent Disease Patterns and Prescriptions by Three Societies of Korean Medicine for Gastrointestinal Disease", Journal of Sasang Constitutional Medicine, 32(2), pp.33~47 (2020)[DOI]
- Yeo IS, "The Pathology of Korean Medicine", Journal of Physiology & Pathology in Korean Medicine, 4(1), pp.35~41 (1995)
- National Mental Health Survey, "National Center for Mental Health", National Center for Mental Health, 58~117 (2021)
- Kim JW, "A Clinical Study on Outpatients in Oriental Neuropsychiatry Clinic of an Oriental Medicine Hospital", Journal of Oriental Neuropsychiatry, 18(3), pp.123~134 (2007)
- Jung IC, "Clinical Review of 127 Neuropsychiatric Inpatients", Journal of Oriental Neuropsychiatry, 7(2), pp.509~530 (1999)
- Seo YM, "Sleep and Anger", Sleep Medicine and Psychophysiology, 26(2), pp.67~74 (2019)[DOI]
- Zhang H, "Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System : Validation Study", JMIR Medical Informatics, 8(6), pp.e17608~ (2020)[DOI]
- Kim YS, "Association of Self-Reported Job Stress with Depression and Anxiety", Anxiety and Mood, 11(1), pp.38~46 (2015)
- Kim SK, "A Study on Reasoning based on Herb and Formula Ontologies", Journal of Korean Medical Classics, 22(3), pp.97~106 (2009)
- Kim SK, "Traditional Korean Medicine Diagnosis System Based on Basic Ontology", Journal of Physiology & Pathology in Korean Medicine, 24(6), pp.1111~1116 (2010)
- Jung TY, "Study on a Methodology for Developing Shanghanlun Ontology", Journal of Physiology & Pathology in Korean Medicine, 25(5), pp.765~772 (2011)
- Seo JS, "Web based System for Supporting Medical Treatment in Korean Medicine based on Korean Medicine Ontology", Journal of Physiology & Pathology in Korean Medicine, 28(1), pp.113~121 (2014)
- The Korean Hyungsang Medicine, "Collection of Clinical Experiences in Hyungsang Medicine", pp.3~4 (2006), Jisan Publishing
- Park IS, "Overview of Sasang Constitutional Medicine", Journal of Sasang Constitutional Medicine, 1(1), pp.3~12 (1989)
- "Korean Medical Association of Clinical Sanghan-Geumgwe"[URL]
- "Sex differences in the effects of individual anxiety state on regional responses to negative emotional scenes" (2023)[URL]
- Chaudhary S, "Sex differences in the effects of trait anxiety and age on resting-state functional connectivities of the amygdala", J Affect Disord Rep, 14, pp.100646~ (2023)[DOI]
- Hammen CL, "Sex differences in the expression of depressive responses on the Beck Depression Inventory", J Abnorm Psychol, 86(6), pp.609~614 (1977)[DOI]
- Spielberger CD, "Staxi-2 : State-Trait Anger Expression Inventory-2 : Professional Manual", Psychological Assessment Resources, ~ (1999)
- Boer J, "Impact of Gender on Insomnia", Brain Sci, 13(3), pp.480~ (2023)[DOI]
- The Society of Sasang Constitutional Medicine, "Sasang (Four) costitutional medicine patterns Clinical Practice Guideline of Korean Medicine", National Institute for Korean Medicine Development, 76~128 (2022)
- Rajkomar A, "Scalable and accurate deep learning with electronic health records", npj Digital Medicine, 1, pp.18~ (2018)[DOI]
- Miao S, "Detecting pioglitazone use and risk of cardiovascular events using electronic health record data in a large cohort of Chinese patients with type 2diabetes", Journal of Diabetes, 11(8), pp.684~689 (2019)[DOI]
- "Standard Korean Medicine Terminology"[URL]
- Jalal S, "Artificial Intelligence, Radiology, and the Way Forward", Canadian Association Radiologists Journal, 70(1), pp.10~12 (2019)[DOI]
- Erickson BJ, "Machine Learning for Medical Imaging", Radiographics, 37(2), pp.505~515 (2017)[DOI]
- Lim YK, "Pulse Diagnosis (Atlas of Clinical Diagnosis 3)", pp.53~59 (2003), Jeongdam publishing
- Befu S, "Tougue Diagnosis for Clinicians –Intergrating Oriental and Western Medicines", pp.157~168 (2007), Koonja Publishing
- Yeom YH, "Clinical Abdominal Examination of Korean Medicine", pp.24~26 (2007), Euibang Publishing
