Symptom-based scoring technique by machine learning to predict COVID-19: a validation study.
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| Title: | Symptom-based scoring technique by machine learning to predict COVID-19: a validation study. |
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| Authors: | Vidyanti AN; Department of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.; Department of Neurology, Dr. Sardjito General Hospital, Yogyakarta, 55281, Indonesia., Satiti S; Department of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.; Department of Neurology, Dr. Sardjito General Hospital, Yogyakarta, 55281, Indonesia., Khairani AF; Department of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.; Department of Neurology, Dr. Sardjito General Hospital, Yogyakarta, 55281, Indonesia., Fauzi AR; Department of Neurology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia., Hardhantyo M; Center for Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.; Faculty of Health Science, Respati University Yogyakarta, Yogyakarta, 55281, Indonesia., Sufriyana H; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250 Wu-Xing Street, Taipei, 11031, Taiwan.; Department of Medical Physiology, Faculty of Medicine, Universitas Nahdlatul Ulama Surabaya, Surabaya, 60237, Indonesia., Su EC; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, 250 Wu-Xing Street, Taipei, 11031, Taiwan. emilysu@tmu.edu.tw.; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan. emilysu@tmu.edu.tw.; Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, 11031, Taiwan. emilysu@tmu.edu.tw. |
| Source: | BMC infectious diseases [BMC Infect Dis] 2023 Dec 12; Vol. 23 (1), pp. 871. Date of Electronic Publication: 2023 Dec 12. |
| 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 |
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| ISSN: | 1471-2334 |
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| DOI: | 10.1186/s12879-023-08846-0 |
