 Machine Learning
"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 |
|---|
| 2017 | 0 | 1 | 1 | | 2018 | 1 | 0 | 1 | | 2019 | 2 | 2 | 4 | | 2020 | 0 | 3 | 3 | | 2022 | 1 | 1 | 2 | | 2023 | 0 | 1 | 1 | | 2024 | 2 | 1 | 3 |
To return to the timeline, click here.
Below are the most recent publications written about "Machine Learning" by people in Profiles.
-
Miller C, Manious M, Portnoy J. Artificial intelligence and machine learning for anaphylaxis algorithms. Curr Opin Allergy Clin Immunol. 2024 Oct 01; 24(5):305-312.
-
Prince EW, Apps JR, Jeang J, Chee K, Medlin S, Jackson EM, Dudley R, Limbrick D, Naftel R, Johnston J, Feldstein N, Prolo LM, Ginn K, Niazi T, Smith A, Kilburn L, Chern J, Leonard J, Lam S, Hersh DS, Gonzalez-Meljem JM, Amani V, Donson AM, Mitra SS, Bandopadhayay P, Martinez-Barbera JP, Hankinson TC. Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal machine learning analysis. Neuro Oncol. 2024 Jun 03; 26(6):1109-1123.
-
Brink FW, Lo CB, Rust SW, Puls HT, Stanley R, Galdo B, Lindberg DM. Pilot study using machine learning to improve estimation of physical abuse prevalence. Child Abuse Negl. 2024 03; 149:106681.
-
Feldman K, Baraboo J, Dinakarpandian D, Chan SS. Machine Learning Algorithm Improves the Prediction of Transplant Hepatic Artery Stenosis or Occlusion: A Single-Center Study. Ultrasound Q. 2023 Jun 01; 39(2):86-94.
-
Bae S, Samuels JA, Flynn JT, Mitsnefes MM, Furth SL, Warady BA, Ng DK. Machine Learning-Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease. Hypertension. 2022 09; 79(9):2105-2113.
-
Lee AM, Hu J, Xu Y, Abraham AG, Xiao R, Coresh J, Rebholz C, Chen J, Rhee EP, Feldman HI, Ramachandran VS, Kimmel PL, Warady BA, Furth SL, Denburg MR. Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology. J Am Soc Nephrol. 2022 02; 33(2):375-386.
-
Cao M, Shao X, Chan P, Cheung W, Kwan T, Pastinen T, Robaire B. High-resolution analyses of human sperm dynamic methylome reveal thousands of novel age-related epigenetic alterations. Clin Epigenetics. 2020 12 14; 12(1):192.
-
Kim JH, Sampath V, Canvasser J. Challenges in diagnosing necrotizing enterocolitis. Pediatr Res. 2020 08; 88(Suppl 1):16-20.
-
Parvandeh S, Yeh HW, Paulus MP, McKinney BA. Consensus features nested cross-validation. Bioinformatics. 2020 05 01; 36(10):3093-3098.
-
Paulus MP, Kuplicki R, Yeh HW. Machine Learning and Brain Imaging: Opportunities and Challenges. Trends Neurosci. 2019 10; 42(10):659-661.
|
People  People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|