Leveraging Machine Learning to Assess Post-COVID-19 Glycemic Control in Diabetic Patients.
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| Title: | Leveraging Machine Learning to Assess Post-COVID-19 Glycemic Control in Diabetic Patients. |
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| Authors: | Lluberes-Contreras M; Bioinformatics and Data Science Laboratory, Department of Computer Science, University of Puerto Rico, San Juan, PR 00925, USA., Figueroa-Santiago E; Department of Computer Science, University of Puerto Rico, San Juan, PR 00925, USA., Kohan-Ghadr HR; SysBioSolutions LLC, Portage, MI 49024, USA., Ortiz-Ortega A; Medresearch LLC, Caguas, PR 00725, USA., Roche-Lima A; Center for Collaborative Research in Health Disparities, Medical Sciences Campus, University of Puerto Rico, San Juan, PR 00936, USA. |
| Corporate Authors: | N3C Consortium |
| Source: | International journal of environmental research and public health [Int J Environ Res Public Health] 2026 May 12; Vol. 23 (5). Date of Electronic Publication: 2026 May 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1660-4601 |
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| DOI: | 10.3390/ijerph23050644 |
