"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 |
|---|
| 2014 | 0 | 1 | 1 |
| 2015 | 1 | 0 | 1 |
| 2016 | 1 | 1 | 2 |
| 2017 | 1 | 1 | 2 |
| 2018 | 0 | 2 | 2 |
| 2019 | 3 | 2 | 5 |
| 2020 | 3 | 2 | 5 |
| 2021 | 1 | 1 | 2 |
| 2022 | 0 | 5 | 5 |
| 2023 | 0 | 2 | 2 |
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Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Development and validation of a machine learning model using electronic health records to predict trauma- and stressor-related psychiatric disorders after hospitalization with sepsis. Transl Psychiatry. 2023 Dec 18; 13(1):400.
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Machine learning versus regression for prediction of sporadic pancreatic cancer. Pancreatology. 2023 Jun; 23(4):396-402.
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Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning. Am J Epidemiol. 2023 Feb 01; 192(2):283-295.
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Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer. Am J Gastroenterol. 2023 01 01; 118(1):157-167.
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Using machine learning to determine the shared and unique risk factors for marijuana use among child-welfare versus community adolescents. PLoS One. 2022; 17(9):e0274998.
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Machine Learning Prediction of Suicide Risk Does Not Identify Patients Without Traditional Risk Factors. J Clin Psychiatry. 2022 08 31; 83(5).
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Comparing the effectiveness of a brief intervention to reduce unhealthy alcohol use among adult primary care patients with and without depression: A machine learning approach with augmented inverse probability weighting. Drug Alcohol Depend. 2022 10 01; 239:109607.
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Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening. BMC Med Inform Decis Mak. 2022 05 12; 22(1):129.
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Developing machine learning models to personalize care levels among emergency room patients for hospital admission. J Am Med Inform Assoc. 2021 10 12; 28(11):2423-2432.
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Joint Associations of Multiple Dietary Components With Cardiovascular Disease Risk: A Machine-Learning Approach. Am J Epidemiol. 2021 07 01; 190(7):1353-1365.