Projects per year
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Profiles
Projects
Using Machine Learning Technologies to Develop a Smart System for Predicting Nstemi Patients Re-Admission Within 90 Days
11/1/19 → 10/31/20
Project: A - Government Institution › b - Ministry of Science and Technology
A Genome-Based Machine Learning Approach for Mining the Functional Potentials of Hypothetical Genes and Predicting Bacterial Antimicrobial-Resistance Phenotypes(1/3)
8/1/19 → 7/31/20
Project: A - Government Institution › b - Ministry of Science and Technology
Research Output
Abnormal Functional Relationship of Sensorimotor Network With Neurotransmitter-Related Nuclei via Subcortical-Cortical Loops in Manic and Depressive Phases of Bipolar Disorder
Martino, M., Magioncalda, P., Conio, B., Capobianco, L., Russo, D., Adavastro, G., Tumati, S., Tan, Z., Lee, H-C., Lane, T. J., Amore, M., Inglese, M. & Northoff, G., Jan 1 2020, In : Schizophrenia Bulletin. 46, 1, p. 163-174 12 p.Research output: Contribution to journal › Article
3
Citations
(Scopus)
Accuracy of the Critical Shoulder Angle for Predicting Rotator Cuff Tears in Patients With Nontraumatic Shoulder Pain
Lin, C. L., Chen, Y. W., Lin, L. F., Chen, C. P., Liou, T. H. & Huang, S. W., Jan 1 2020, In : Orthopaedic Journal of Sports Medicine. 8, 5Research output: Contribution to journal › Article
Open Access
Alternate healthy eating index and risk of depression: A meta-analysis and systemematic review
Wu, P-Y., Lin, M-Y. & Tsai, P-S., Feb 1 2020, In : Nutritional Neuroscience. 23, 2, p. 101-109 9 p.Research output: Contribution to journal › Review article
1
Citation
(Scopus)