"Machine Learning" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A type of ARTIFICIAL INTELLIGENCE that enable COMPUTERS to independently initiate and execute LEARNING when exposed to new data.
| Descriptor ID |
D000069550
|
| MeSH Number(s) |
G17.035.250.500 L01.224.050.375.530
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Machine Learning".
Below are MeSH descriptors whose meaning is more specific than "Machine Learning".
This graph shows the total number of publications written about "Machine Learning" by people in this website by year, and whether "Machine Learning" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2018 | 0 | 1 | 1 |
| 2020 | 1 | 1 | 2 |
| 2021 | 2 | 1 | 3 |
| 2022 | 1 | 3 | 4 |
| 2023 | 0 | 1 | 1 |
| 2024 | 1 | 0 | 1 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol. BMJ Open. 2024 Jun 18; 14(6):e077529.
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Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models. BMC Med Inform Decis Mak. 2023 09 25; 23(1):191.
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Machine learning outperformed logistic regression classification even with limit sample size: A model to predict pediatric HIV mortality and clinical progression to AIDS. PLoS One. 2022; 17(10):e0276116.
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Performance evaluation of machine learning and Computer Coded Verbal Autopsy (CCVA) algorithms for cause of death determination: A comparative analysis of data from rural South Africa. Front Public Health. 2022; 10:990838.
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Familial Hypercholesterolemia Identification by Machine Learning Using Lipid Profile Data Performs as Well as Clinical Diagnostic Criteria. Circ Genom Precis Med. 2022 10; 15(5):e003324.
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Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts. Sci Rep. 2022 07 26; 12(1):12715.
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Machine Learning Algorithms Using Routinely Collected Data Do Not Adequately Predict Viremia to Inform Targeted Services in Postpartum Women Living With HIV. J Acquir Immune Defic Syndr. 2021 12 15; 88(5):439-447.
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Stable warfarin dose prediction in sub-Saharan African patients: A machine-learning approach and external validation of a clinical dose-initiation algorithm. CPT Pharmacometrics Syst Pharmacol. 2022 01; 11(1):20-29.
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Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study. Front Public Health. 2021; 9:694306.
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An Integrative Computational Approach for the Prediction of Human-Plasmodium Protein-Protein Interactions. Biomed Res Int. 2020; 2020:2082540.