| 
																	
																		 
																		 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 | 
|---|
 | 2014 | 1 | 0 | 1 |  | 2015 | 6 | 5 | 11 |  | 2016 | 1 | 4 | 5 |  | 2017 | 10 | 9 | 19 |  | 2018 | 18 | 9 | 27 |  | 2019 | 21 | 15 | 36 |  | 2020 | 22 | 15 | 37 |  | 2021 | 16 | 27 | 43 |  | 2022 | 14 | 30 | 44 |  | 2023 | 7 | 20 | 27 |  | 2024 | 30 | 15 | 45 |  | 2025 | 24 | 15 | 39 | 
 
                    To return to the timeline, click here. 
				Below are the most recent publications written about "Machine Learning" by people in Profiles. 		
					
								
								Giles BM, Culp-Hill R, Law RA, Nichols CM, Goldberg M, Radnaa E, Wong M, Hansen C, Zapata M, Hill C, Behbakht K, Bitler BG, Crosbie EJ, Barr CE, Jeter A, Fa VS, Guthrie VB, Hagmann LN, Kubota EC, White JR, McElhinny A. Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population. Cancer Res Commun. 2025 Sep 01; 5(9):1516-1529.
								White LK, Radakovic A, Sajek MP, Dobson K, Riemondy KA, Del Pozo S, Szostak JW, Hesselberth JR. Nanopore sequencing of intact aminoacylated tRNAs. Nat Commun. 2025 Aug 20; 16(1):7781.
								Mungas D, Gavett B, Rojas-Saunero LP, Zhou Y, Hayes-Larson E, Shaw C, Farias ST, Widaman K, Fletcher E, Corrada MM, Gilsanz P, Glymour M, Olichney J, DeCarli C, Whitmer R, Mayeda ER. Machine learning diagnosis of cognitive impairment and dementia in harmonized older adult cohorts. Alzheimers Dement. 2025 Aug; 21(8):e70508.
								Li Y, Miller T, Bethard S, Savova G. Identifying task groupings for multi-task learning using pointwise V-usable information. J Biomed Inform. 2025 Sep; 169:104881.
								Kirsch DE, McManus KR, Grodin EN, Nieto SJ, Miranda R, O'Malley SS, Schacht JP, Ray LA. Who is alcohol cue-reactive? A machine learning approach. Alcohol Alcohol. 2025 Jul 16; 60(5).
								Scott HF, Sevick CJ, Colborn KL, Deakyne Davies SJ, Greer CH, Dafoe A, Dorsey Holliman B, Bajaj L, Schmidt SK, Kempe A. Clinical Decision Support for Septic Shock in the Emergency Department: A Cluster Randomized Trial. Pediatrics. 2025 Jul 01; 156(1).
								Abraham J, Domenyuk V, Perdigones N, Klimov S, Antani S, Yoshino T, Heath EI, Lou E, Liu SV, Marshall JL, El-Deiry WS, Shields AF, Dietrich MF, Nakamura Y, Fujisawa T, Demetri GD, Barker A, Xiu J, Sacchetti DA, Stahl S, Hahn-Lowry R, Stark A, Swensen J, Poste G, Halbert DD, Oberley M, Radovich M, Sledge GW, Spetzler DB. Validation of an AI-enabled exome/transcriptome liquid biopsy platform for early detection, MRD, disease monitoring, and therapy selection for solid tumors. Sci Rep. 2025 Jul 01; 15(1):21173.
								Winter MC, Zhou AX, Laksana E, Aczon MD, Ledbetter DR, Avesar M, Burkiewicz K, Chandnani HK, Fainberg N, Hsu S, McCrory MC, Morrow KR, Noguchi A, O'Brien CE, Ojha A, Pringle C, Ross PA, Shah J, Shah S, Shpaner L, Siegel LB, Tripathi S, Wetzel RC. Death One Hour After Terminal Extubation in Children: Validation of a Machine Learning Model to Predict Cardiac Death After Withdrawal of Life-Sustaining Treatment in a Multicenter Cohort, 2009-2021. Pediatr Crit Care Med. 2025 Aug 01; 26(8):e997-e1008.
								Filsinger Interrante MV, Tang S, Kim S, Shanker VR, Hie BL, Bruun TUJ, Wu W, Pak JE, Fernandez D, Kim PS. Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat. ACS Chem Biol. 2025 Jul 18; 20(7):1470-1480.
								Hwang YJ, Lesko CR, Pytell JD, Falade-Nwulia O, Jones JL, Keruly JC, Snow LN, Moore RD, Fojo AT. Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis. AIDS Behav. 2025 Nov; 29(11):3534-3543. | 
																	
																		
																			
																					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.
     |