Predicting immune risk in treatment-naïve HIV patients using a machine learning algorithm: a decision tree algorithm based on micronutrients and inversion of the CD4/CD8 ratio
Our study uniquely corroborated the nutritional data to the immune risk in treatment-naïve HIV patients through the utilization of a decision tree ML algorithm. This could subsequently be an important classification and prognostic tool in the hands of clinicians.
Authors
- Manaswini Mangaraj (ORCID: https://orcid.org/0000-0002-0362-6872)
- Arvind Singh (ORCID: https://orcid.org/0000-0001-5238-7196)
- Saurav Nayak (ORCID: https://orcid.org/0000-0003-2394-295X)
- Gautom Kumar Saharia (ORCID: https://orcid.org/0000-0002-1605-0761)
Institutions
- All India Institute of Medical Sciences Bhubaneswar (IN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2024-10-16
- DOI
- https://doi.org/10.3389/fnut.2024.1443076
- Citations
- 1
- Primary Topic
- HIV-related health complications and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- All-India Institute of Medical Sciences