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Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial.

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Title: Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial.
Authors: Park C; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea., Jin H; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea., Lee B; KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea., Choi YE; Clinical Research Coordinating Team, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea., Kwon O; KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea., Lim MY; Personalized Diet Research Group, Food Functionality Research Division, Korea Food Research Institute, Wanju, Republic of Korea., Nam D; Department of Diagnostics and Biofunctional Medicine, College of Korean Medicine, Sangji University, Wonju, Republic of Korea., Choi DJ; Department of Internal Korean Medicine, Dongguk University Ilsan Oriental Medical Hospital, Goyang, Republic of Korea., Lee JH; KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.; Korean Medicine Life Science, University of Science and Technology, Campus of Korea Institute of Oriental Medicine, Daejeon, Republic of Korea., Park JW; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea.; Department of Digestive Diseases, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea., Ko SJ; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea.; Department of Digestive Diseases, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea., Kim H; Department of Rehabilitation Medicine of Korean Medicine, College of Korean Medicine, Dongguk University, Gyeongju, Republic of Korea.
Source: Frontiers in medicine [Front Med (Lausanne)] 2026 Feb 11; Vol. 13, pp. 1716891. Date of Electronic Publication: 2026 Feb 11 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial.
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  Data: <searchLink fieldCode="AU" term="%22Park+C%22">Park C</searchLink>; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jin+H%22">Jin H</searchLink>; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+B%22">Lee B</searchLink>; KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+YE%22">Choi YE</searchLink>; Clinical Research Coordinating Team, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kwon+O%22">Kwon O</searchLink>; KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+MY%22">Lim MY</searchLink>; Personalized Diet Research Group, Food Functionality Research Division, Korea Food Research Institute, Wanju, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Nam+D%22">Nam D</searchLink>; Department of Diagnostics and Biofunctional Medicine, College of Korean Medicine, Sangji University, Wonju, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+DJ%22">Choi DJ</searchLink>; Department of Internal Korean Medicine, Dongguk University Ilsan Oriental Medical Hospital, Goyang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+JH%22">Lee JH</searchLink>; KM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.; Korean Medicine Life Science, University of Science and Technology, Campus of Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+JW%22">Park JW</searchLink>; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea.; Department of Digestive Diseases, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ko+SJ%22">Ko SJ</searchLink>; Department of Korean Internal Medicine, College of Korean Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea.; Department of Digestive Diseases, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+H%22">Kim H</searchLink>; Department of Rehabilitation Medicine of Korean Medicine, College of Korean Medicine, Dongguk University, Gyeongju, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2026 Feb 11; Vol. 13, pp. 1716891. <i>Date of Electronic Publication: </i>2026 Feb 11 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101648047 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-858X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296858X%22">2296858X </searchLink><i>NLM ISO Abbreviation: </i>Front Med (Lausanne) <i>Subsets: </i>PubMed not MEDLINE
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