Projects per year
Personal profile
Research Expertise
Data mining, medical information, text mining, business intelligence, electronic medical records, health insurance database
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Ya-Han Hu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques
Hu, Y. H., Hung, J. H., Hu, L. Y., Huang, S. Y. & Shen, C. C., Jun 2023, In: PLoS ONE. 18, 6 June, e0286347.Research output: Contribution to journal › Article › peer-review
Open Access -
Integrating Fuzzy Multiobjective Programming and System Dynamics to Develop an Approach for Talent Retention Policy Selection: Case on Health-Care Industry
Lo, C. L. & Hu, Y. H., 2023, In: Journal of Healthcare Engineering. 2023, 5934523.Research output: Contribution to journal › Article › peer-review
Open Access -
A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction
Hung, L. C., Hu, Y. H., Tsai, C. F. & Huang, M. W., 15 Apr 2022, In: Expert Systems with Applications. 192, 116437.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
An investigation of solutions for handling incomplete online review datasets with missing values
Hu, Y. H. & Tsai, C. F., 2022, In: Journal of Experimental and Theoretical Artificial Intelligence. 34, 6, p. 971-987 17 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing
Sung, S. F., Sung, K. L., Pan, R. C., Lee, P. J. & Hu, Y. H., 29 Jul 2022, In: Frontiers in Cardiovascular Medicine. 9, 941237.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations
Datasets
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Data for: Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity
Hu, Y. (Contributor), Tai, C. (Contributor), Liu, K. E. (Contributor) & Cai, C. (Contributor), Mendeley Data, 2020
DOI: 10.17632/bvbvyhdwxw.1, https://data.mendeley.com/datasets/bvbvyhdwxw
Dataset