"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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2015 | 1 | 2 | 3 |
| 2016 | 3 | 1 | 4 |
| 2017 | 4 | 5 | 9 |
| 2018 | 14 | 9 | 23 |
| 2019 | 19 | 12 | 31 |
| 2020 | 10 | 9 | 19 |
| 2021 | 3 | 24 | 27 |
| 2022 | 4 | 21 | 25 |
| 2023 | 1 | 9 | 10 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation. Mol Syst Biol. 2023 08 08; 19(8):e11407.
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A novel machine-learning tool to identify community risk for firearm violence: The Firearm Violence Vulnerability Index. J Trauma Acute Care Surg. 2023 07 01; 95(1):128-136.
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Machine learning models to predict and benchmark PICU length of stay with application to children with critical bronchiolitis. Pediatr Pulmonol. 2023 06; 58(6):1777-1783.
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Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis. Oral Oncol. 2023 05; 140:106386.
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MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models. Phys Med Biol. 2023 03 23; 68(7).
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Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review. J Oral Pathol Med. 2023 Mar; 52(3):197-205.
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Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells. Int J Environ Res Public Health. 2023 03 02; 20(5).
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Intracranial arterial flow velocity mapping in quantitative time-of-flight MR angiography using deep machine learning. Magn Reson Imaging. 2023 07; 100:10-17.
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AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. Med Phys. 2023 Feb; 50(2):e1-e24.
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Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approach. J Oral Pathol Med. 2023 Feb; 52(2):109-118.