Natural frequency tree- versus conditional probability formula-based training for medical students’ estimation of screening test predictive values: a randomized controlled trial

Korea Disease Control and Prevention Agency Clinical Research Information Service KCT0004246 (the date of first trial registration: 27/08/2019). The full trial protocol can be accessed at https://cris.nih.go.kr/cris/search/detailSearch.do?seq=15616&search_page=L .

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Publication Details

Journal
BMC Medical Education
Published
2024-10-24
DOI
https://doi.org/10.1186/s12909-024-06209-0
Citations
1
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.35

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article

Natural frequency tree- versus conditional probability formula-based training for medical students’ estimation of screening test predictive values: a randomized controlled trial

Soyun Kim, Soela Kim, Young Kyung, Yong-Jun Choi
1 citations
BMC Medical Education
Machine Learning in Healthcare
0.35
article

Natural frequency tree- versus conditional probability formula-based training for medical students’ estimation of screening test predictive values: a randomized controlled trial

Soyun Kim, Soela Kim, Young Kyung, Yong-Jun Choi
article en
1 citations

Abstract

Korea Disease Control and Prevention Agency Clinical Research Information Service KCT0004246 (the date of first trial registration: 27/08/2019). The full trial protocol can be accessed at https://cris.nih.go.kr/cris/search/detailSearch.do?seq=15616&search_page=L .

BMC Medical EducationVol. 24(1)
Hallym University (KR), Hallym Polytechnic University (KR), Seoul National University Hospital (KR), National University College (PR)
National Research Foundation, Seoul National University, Hallym University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
No poverty
Openalex Percentile: Top 32%
Machine Learning in Healthcare
0.35
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