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

Year Number of Results
2005 1
2011 1
2014 1
2015 1
2016 6
2017 5
2018 24
2019 40
2020 31
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Similar Articles for PMID: 32661034

99 results
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.
Wingrove P, Liaw W, Weiss J, Petterson S, Maier J, Bazemore A. Wingrove P, et al. Ann Fam Med. 2020 Jul;18(4):334-340. doi: 10.1370/afm.2550. Ann Fam Med. 2020. PMID: 32661034 Free PMC article.
Precision Health-Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation.
Kasthurirathne SN, Grannis S, Halverson PK, Morea J, Menachemi N, Vest JR. Kasthurirathne SN, et al. JMIR Med Inform. 2020 Jul 9;8(7):e16129. doi: 10.2196/16129. JMIR Med Inform. 2020. PMID: 32479414 Free PMC article.
Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.
DeVries Z, Hoda M, Rivers CS, Maher A, Wai E, Moravek D, Stratton A, Kingwell S, Fallah N, Paquet J, Phan P; RHSCIR Network. DeVries Z, et al. Spine J. 2020 Feb;20(2):213-224. doi: 10.1016/j.spinee.2019.09.007. Epub 2019 Sep 13. Spine J. 2020. PMID: 31525468
Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.
Sinha I, Aluthge DP, Chen ES, Sarkar IN, Ahn SH. Sinha I, et al. J Vasc Interv Radiol. 2020 Jun;31(6):1018-1024.e4. doi: 10.1016/j.jvir.2019.11.030. Epub 2020 May 4. J Vasc Interv Radiol. 2020. PMID: 32376173
Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB, Grazal CF, Balazs GC, Potter BK, Dickens JF, Forsberg JA. Anderson AB, et al. Clin Orthop Relat Res. 2020 Jul;478(7):0-1618. doi: 10.1097/CORR.0000000000001251. Clin Orthop Relat Res. 2020. PMID: 32282466
Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.
Uspenskaya-Cadoz O, Alamuri C, Wang L, Yang M, Khinda S, Nigmatullina Y, Cao T, Kayal N, O'Keefe M, Rubel C. Uspenskaya-Cadoz O, et al. J Prev Alzheimers Dis. 2019;6(3):185-191. doi: 10.14283/jpad.2019.10. J Prev Alzheimers Dis. 2019. PMID: 31062833
Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?
Fontana MA, Lyman S, Sarker GK, Padgett DE, MacLean CH. Fontana MA, et al. Clin Orthop Relat Res. 2019 Jun;477(6):1267-1279. doi: 10.1097/CORR.0000000000000687. Clin Orthop Relat Res. 2019. PMID: 31094833 Free PMC article.
A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.
Li K, Wu H, Pan F, Chen L, Feng C, Liu Y, Hui H, Cai X, Che H, Ma Y, Li T. Li K, et al. Clin Appl Thromb Hemost. 2020 Jan-Dec;26:1076029619897827. doi: 10.1177/1076029619897827. Clin Appl Thromb Hemost. 2020. PMID: 31908189 Free PMC article.
Otolaryngology workforce analysis.
Hughes CA, McMenamin P, Mehta V, Pillsbury H, Kennedy D. Hughes CA, et al. Laryngoscope. 2016 Dec;126 Suppl 9:S5-S11. doi: 10.1002/lary.26238. Epub 2016 Aug 31. Laryngoscope. 2016. PMID: 27576957
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