Projects per year
Personal profile
Education
- 1995 PhD, Department of Computer Engineering, University of Missouri-Columbia, USA.
Research Interests
- Artificial Intelligence
- Big data Analysis
- Biomedical Information Retrieval
- Cancer and Stem Cell Research
- Cloud Healthcare
- Computational Intelligence
- Mobile Computing
Experience
- 1995~1996 Researcher, Computer and Communications Laboratory(CCL), Industrial Technology Research Institute(ITRI)
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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Collaborations and top research areas from the last five years
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Projects
- 41 Finished
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Development and validation of a machine learning model of radiation-induced hypothyroidism with clinical and dose–volume features
Tsai, M. H., Chang, J. T. C., Lu, H. H., Wu, Y. H., Pao, T. H., Cheng, Y-J., Zheng, W. Y., Chou, C. Y., Lin, J. H., Yu, T. & Chiang, J. H., 2023 Dec, In: Radiotherapy and Oncology. 189, 109911.Research output: Contribution to journal › Article › peer-review
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Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients
Tsai, P. C., Lee, T. H., Kuo, K. C., Su, F. Y., Lee, T. L. M., Marostica, E., Ugai, T., Zhao, M., Lau, M. C., Väyrynen, J. P., Giannakis, M., Takashima, Y., Kahaki, S. M., Wu, K., Song, M., Meyerhardt, J. A., Chan, A. T., Chiang, J. H., Nowak, J., Ogino, S., & 1 others, 2023 Dec, In: Nature communications. 14, 1, 2102.Research output: Contribution to journal › Article › peer-review
Open Access9 Citations (Scopus) -
Predicting hyperkalemia in patients with advanced chronic kidney disease using the XGBoost model
Chang, H. H., Chiang, J. H., Tsai, C. C. & Chiu, P. F., 2023 Dec, In: BMC Nephrology. 24, 1, 169.Research output: Contribution to journal › Article › peer-review
Open Access -
An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users Temporal Preference
Chiang, J. H., Ma, C. Y., Wang, C. S. & Hao, P. Y., 2022, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article › peer-review
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COVID-19 Deep Clustering: An Ontology construction clustering method with dynamic medical labeling
Phan, C. P. & Chiang, J. H., 2022 Dec 1, SoICT 2022 - 11th International Symposium on Information and Communication Technology. Association for Computing Machinery, p. 216-222 7 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution