A survey of machine learning applications in HIV clinical research and care
| Autor: | Godwin Anguzu, Barbara Castelnuovo, Kuteesa R. Bisaso, Agnes N. Kiragga, Susan A. Karungi |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Biomedical Research Human immunodeficiency virus (HIV) Health Informatics HIV Infections medicine.disease_cause Machine learning computer.software_genre Medical care Machine Learning 03 medical and health sciences 0302 clinical medicine medicine Humans Statistical analysis 030212 general & internal medicine Hiv treatment business.industry Medical record Genomics Antiretroviral therapy Computer Science Applications 030104 developmental biology Clinical research Anti-Retroviral Agents Hiv patients Artificial intelligence business computer |
| Zdroj: | Computers in biology and medicine. 91 |
| ISSN: | 1879-0534 |
| Popis: | A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical care of HIV patients and exists in the form of medical records available among the medical care and research communities. Machine learning (ML) methods have the ability to identify and discover patterns in complex datasets and predict future outcomes of HIV treatment. We survey published studies that make use of ML techniques in HIV clinical research and care. An advanced search relevant to the use of ML in HIV research was conducted in the PubMed biomedical database. The survey outcomes of interest include data sources, ML techniques, ML tasks and ML application paradigms. A growing trend in application of ML in HIV research was observed. The application paradigm has diversified to include practical clinical application, but statistical analysis remains the most dominant application. There is an increase in the use of genomic sources of data and high performance non-parametric ML methods with a focus on combating resistance to antiretroviral therapy (ART). There is need for improvement in collection of health records data and increased training in ML so as to translate ML research into clinical application in HIV management. |
| Databáze: | OpenAIRE |
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