W
Wen-Shan Jian
Researcher at Taipei Medical University
Publications - 91
Citations - 2090
Wen-Shan Jian is an academic researcher from Taipei Medical University. The author has contributed to research in topics: Health care & Population. The author has an hindex of 24, co-authored 86 publications receiving 1678 citations. Previous affiliations of Wen-Shan Jian include National Taiwan University of Science and Technology & Macau University of Science and Technology.
Papers
More filters
Journal ArticleDOI
Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube
Shabbir Syed-Abdul,Luis Fernandez-Luque,Wen-Shan Jian,Yu-Chuan Li,Steven P. Crain,Min-Huei Hsu,Yao-Chin Wang,Dorjsuren Khandregzen,Enkhzaya Chuluunbaatar,Phung Anh Nguyen,Der Ming Liou +10 more
TL;DR: More research is needed to study the characteristics of pro-anorexia videos in order to develop algorithms that will automatically detect and filter those videos before they become popular, and to investigate anorexia-related misinformation disseminated through YouTube videos.
Journal ArticleDOI
Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures
TL;DR: The proposed fuzzy forecasting method uses the particle swarm optimization techniques to get the optimal partition of the intervals in the universe of discourse and uses the K-means clustering algorithm to cluster the subscripts of the fuzzy sets of the current states of the fuzzified historical testing datum and to divide the constructed fuzzy logical relationships into fuzzy logical relationship groups for increasing the forecasting accuracy rates.
Journal ArticleDOI
mHealth: An updated systematic review with a focus on HIV/AIDS and tuberculosis long term management using mobile phones.
Balla Rama Devi,Shabbir Syed-Abdul,Arun Kumar,Usman Iqbal,Phung Anh Nguyen,Yu-Chuan Jack Li,Wen-Shan Jian,Wen-Shan Jian +7 more
TL;DR: Mobile phone technology is widely reported to be an effective tool for HIV/AIDS and TB long-term care and can substantially reduce disease burden on health care systems by rendering more efficient prevention, treatment, education, data collection and management support.
Journal ArticleDOI
Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis.
TL;DR: DL algorithms had high sensitivity and specificity for detecting referable DR from retinal fundus photographs, which showed that a DL-based automated tool offers substantial benefits to reduce screening costs, accessibility to healthcare and ameliorate earlier treatments.
Journal ArticleDOI
Obesity and Mortality Among Patients Diagnosed With COVID-19: A Systematic Review and Meta-Analysis
Tahmina Nasrin Poly,Md. Mohaimenul Islam,Hsuan Chia Yang,Ming Chin Lin,Wen-Shan Jian,Min-Huei Hsu,Yu-Chuan Jack Li +6 more
TL;DR: A systematic search on PubMed, EMBASE, Google Scholar, Web of Science, and Scopus between January 1, 2020, and August 30, 2020 was conducted to find relevant articles, and two reviewers extracted data from retrieved articles.