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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1957 1
1962 1
1964 4
1965 1
1966 2
1967 1
1968 2
1969 2
1970 2
1972 2
1973 1
1974 2
1975 3
1976 3
1977 1
1978 2
1979 2
1980 4
1981 1
1982 4
1983 3
1984 3
1985 5
1986 6
1987 3
1988 7
1989 8
1990 7
1991 12
1992 15
1993 22
1994 24
1995 32
1996 30
1997 34
1998 31
1999 35
2000 58
2001 82
2002 98
2003 124
2004 188
2005 249
2006 326
2007 414
2008 509
2009 604
2010 718
2011 1148
2012 1498
2013 1931
2014 2426
2015 3292
2016 3921
2017 5284
2018 8331
2019 12668
2020 18218
2021 25584
2022 31306
2023 33450
2024 6199

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142,173 results

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Page 1
A guide to machine learning for biologists.
Greener JG, Kandathil SM, Moffat L, Jones DT. Greener JG, et al. Nat Rev Mol Cell Biol. 2022 Jan;23(1):40-55. doi: 10.1038/s41580-021-00407-0. Epub 2021 Sep 13. Nat Rev Mol Cell Biol. 2022. PMID: 34518686 Review.
All machine learning techniques fit models to data; however, the specific methods are quite varied and can at first glance seem bewildering. ...We describe how different techniques may be suited to specific types of biological data, and also discuss some best practi …
All machine learning techniques fit models to data; however, the specific methods are quite varied and can at first glance see …
Machine Learning in Medicine.
Deo RC. Deo RC. Circulation. 2015 Nov 17;132(20):1920-30. doi: 10.1161/CIRCULATIONAHA.115.001593. Circulation. 2015. PMID: 26572668 Free PMC article. Review.
The purpose of this review is to explore what problems in medicine might benefit from such learning approaches and use examples from the literature to introduce basic concepts in machine learning. It is important to note that seemingly large enough medical da …
The purpose of this review is to explore what problems in medicine might benefit from such learning approaches and use examples from …
Introduction to Machine Learning, Neural Networks, and Deep Learning.
Choi RY, Coyner AS, Kalpathy-Cramer J, Chiang MF, Campbell JP. Choi RY, et al. Transl Vis Sci Technol. 2020 Feb 27;9(2):14. doi: 10.1167/tvst.9.2.14. Transl Vis Sci Technol. 2020. PMID: 32704420 Free PMC article.
PURPOSE: To present an overview of current machine learning methods and their use in medical research, focusing on select machine learning techniques, best practices, and deep learning. METHODS: A systematic literature search in PubMed was perfo …
PURPOSE: To present an overview of current machine learning methods and their use in medical research, focusing on select m
Machine learning for cardiology.
Arfat Y, Mittone G, Esposito R, Cantalupo B, DE Ferrari GM, Aldinucci M. Arfat Y, et al. Minerva Cardiol Angiol. 2022 Feb;70(1):75-91. doi: 10.23736/S2724-5683.21.05709-4. Epub 2021 Aug 2. Minerva Cardiol Angiol. 2022. PMID: 34338485 Free article. Review.
This paper reviews recent cardiology literature and reports how artificial intelligence tools (specifically, machine learning techniques) are being used by physicians in the field. ...Finally, we discuss the main open issues in applying machine learning
This paper reviews recent cardiology literature and reports how artificial intelligence tools (specifically, machine learning
eDoctor: machine learning and the future of medicine.
Handelman GS, Kok HK, Chandra RV, Razavi AH, Lee MJ, Asadi H. Handelman GS, et al. J Intern Med. 2018 Dec;284(6):603-619. doi: 10.1111/joim.12822. Epub 2018 Sep 3. J Intern Med. 2018. PMID: 30102808 Free article. Review.
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems. ...
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statist
Machine Learning for Hypertension Prediction: a Systematic Review.
Silva GFS, Fagundes TP, Teixeira BC, Chiavegatto Filho ADP. Silva GFS, et al. Curr Hypertens Rep. 2022 Nov;24(11):523-533. doi: 10.1007/s11906-022-01212-6. Epub 2022 Jun 22. Curr Hypertens Rep. 2022. PMID: 35731335 Review.
PURPOSE OF REVIEW: To provide an overview of the literature regarding the use of machine learning algorithms to predict hypertension. A systematic review was performed to select recent articles on the subject. ...The algorithms most frequently identified as having t …
PURPOSE OF REVIEW: To provide an overview of the literature regarding the use of machine learning algorithms to predict hypert …
Supervised Machine Learning: A Brief Primer.
Jiang T, Gradus JL, Rosellini AJ. Jiang T, et al. Behav Ther. 2020 Sep;51(5):675-687. doi: 10.1016/j.beth.2020.05.002. Epub 2020 May 16. Behav Ther. 2020. PMID: 32800297 Free PMC article. Review.
Machine learning offers new tools to overcome challenges for which traditional statistical methods are not well-suited. This paper provides an overview of machine learning with a specific focus on supervised learning (i.e., methods that are desi
Machine learning offers new tools to overcome challenges for which traditional statistical methods are not well-suited. This p
Machine learning model for predicting malaria using clinical information.
Lee YW, Choi JW, Shin EH. Lee YW, et al. Comput Biol Med. 2021 Feb;129:104151. doi: 10.1016/j.compbiomed.2020.104151. Epub 2020 Nov 28. Comput Biol Med. 2021. PMID: 33290932
BACKGROUND: Rapid diagnosing is crucial for controlling malaria. Various studies have aimed at developing machine learning models to diagnose malaria using blood smear images; however, this approach has many limitations. This study developed a machine lear
BACKGROUND: Rapid diagnosing is crucial for controlling malaria. Various studies have aimed at developing machine learning mod …
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications.
Peiffer-Smadja N, Rawson TM, Ahmad R, Buchard A, Georgiou P, Lescure FX, Birgand G, Holmes AH. Peiffer-Smadja N, et al. Clin Microbiol Infect. 2020 May;26(5):584-595. doi: 10.1016/j.cmi.2019.09.009. Epub 2019 Sep 17. Clin Microbiol Infect. 2020. PMID: 31539636 Free article. Review.
BACKGROUND: Machine learning (ML) is a growing field in medicine. This narrative review describes the current body of literature on ML for clinical decision support in infectious diseases (ID). ...
BACKGROUND: Machine learning (ML) is a growing field in medicine. This narrative review describes the current body of literatu …
A Review on Machine Learning for EEG Signal Processing in Bioengineering.
Hosseini MP, Hosseini A, Ahi K. Hosseini MP, et al. IEEE Rev Biomed Eng. 2021;14:204-218. doi: 10.1109/RBME.2020.2969915. Epub 2021 Jan 22. IEEE Rev Biomed Eng. 2021. PMID: 32011262 Review.
Due to the many different types of classifiers available to use, the analysis methods are also equally numerous. In this review, we will be examining specifically machine learning methods that have been developed for EEG analysis with bioengineering applications. .. …
Due to the many different types of classifiers available to use, the analysis methods are also equally numerous. In this review, we will be …
142,173 results
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