Improving dengue fever predictions in Taiwan based on feature selection and random forests.
Saved in:
| Title: | Improving dengue fever predictions in Taiwan based on feature selection and random forests. |
|---|---|
| Authors: | Kuo CY; Smart Healthcare Interdisciplinary College, National Taipei University of Nursing and Health Sciences, No.365, Mingde Road, Beitou District, Taipei City, 112303, Taiwan.; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, No.301, Yuantong Road, Zhonghe District, New Taipei City, 23564, Taiwan., Yang WW; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, No.301, Yuantong Road, Zhonghe District, New Taipei City, 23564, Taiwan., Su EC; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, No.301, Yuantong Road, Zhonghe District, New Taipei City, 23564, Taiwan. emilysu@tmu.edu.tw.; Clinical Big Data Research Center, Taipei Medical University Hospital, No.252 Wuxing Street, Xinyi District, Taipei City, 110, Taiwan. emilysu@tmu.edu.tw. |
| Source: | BMC infectious diseases [BMC Infect Dis] 2024 Mar 20; Vol. 24 (Suppl 2), pp. 334. Date of Electronic Publication: 2024 Mar 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1471-2334 |
|---|---|
| DOI: | 10.1186/s12879-024-09220-4 |
