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Items: 8

1.

Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers.

Bekhuis T, Demner-Fushman D.

Artif Intell Med. 2012 Jul;55(3):197-207. doi: 10.1016/j.artmed.2012.05.002. Epub 2012 Jun 5.

2.

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations [Internet].

Hempel S, Shetty KD, Shekelle PG, Rubenstein LV, Danz MS, Johnsen B, Dalal SR.

Rockville (MD): Agency for Healthcare Research and Quality (US); 2012 Sep.

3.
4.

Automating data extraction in systematic reviews: a systematic review.

Jonnalagadda SR, Goyal P, Huffman MD.

Syst Rev. 2015 Jun 15;4:78. doi: 10.1186/s13643-015-0066-7. Review.

5.

A Pilot Study Using Machine Learning and Domain Knowledge To Facilitate Comparative Effectiveness Review Updating [Internet].

Dalal SR, Shekelle PG, Hempel S, Newberry SJ, Motala A, Shetty KD.

Rockville (MD): Agency for Healthcare Research and Quality (US); 2012 Sep.

6.

Explanatory approach for evaluation of machine learning-induced knowledge.

Zorman M, Verlic M.

J Int Med Res. 2009 Sep-Oct;37(5):1543-51. Review.

PMID:
19930862
7.

Creating robust, reliable, clinically relevant classifiers from spectroscopic data.

Somorjai RL.

Biophys Rev. 2009 Dec;1(4):201-211. doi: 10.1007/s12551-009-0023-6. Epub 2009 Nov 25. Review.

8.

Neuroadaptive Bayesian Optimization and Hypothesis Testing.

Lorenz R, Hampshire A, Leech R.

Trends Cogn Sci. 2017 Mar;21(3):155-167. doi: 10.1016/j.tics.2017.01.006. Epub 2017 Feb 21. Review.

PMID:
28236531

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