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For: Moreira LB, Namen AA. A hybrid data mining model for diagnosis of patients with clinical suspicion of dementia. Computer Methods and Programs in Biomedicine 2018;165:139-49. [DOI: 10.1016/j.cmpb.2018.08.016] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 3.8] [Reference Citation Analysis]
Number Citing Articles
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6 Batouli SAH, Sisakhti M, Haghshenas S, Dehghani H, Sachdev P, Ekhtiari H, Kochan N, Wen W, Leemans A, Kohanpour M, Oghabian MA. Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain. Basic Clin Neurosci 2021;12:115-32. [PMID: 33995934 DOI: 10.32598/bcn.12.1.1774.2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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8 Hemeida A, Alkhalaf S, Mady A, Mahmoud E, Hussein M, Baha Eldin AM. Implementation of nature-inspired optimization algorithms in some data mining tasks. Ain Shams Engineering Journal 2020;11:309-18. [DOI: 10.1016/j.asej.2019.10.003] [Cited by in Crossref: 14] [Cited by in F6Publishing: 4] [Article Influence: 7.0] [Reference Citation Analysis]
9 Li X, Zhang J, Safara F. Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm. Neural Process Lett 2021;:1-17. [PMID: 33814965 DOI: 10.1007/s11063-021-10491-0] [Reference Citation Analysis]
10 Mclachlan S, Dube K, Hitman GA, Fenton NE, Kyrimi E. Bayesian networks in healthcare: Distribution by medical condition. Artificial Intelligence in Medicine 2020;107:101912. [DOI: 10.1016/j.artmed.2020.101912] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 5.5] [Reference Citation Analysis]
11 Iwahashi S, Ghaibeh AA, Shimada M, Morine Y, Imura S, Ikemoto T, Saito Y, Hirose J. Predictability of postoperative recurrence on hepatocellular carcinoma through data mining method. Mol Clin Oncol 2020;13:46. [PMID: 32874576 DOI: 10.3892/mco.2020.2116] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 McCoy TH Jr, Han L, Pellegrini AM, Tanzi RE, Berretta S, Perlis RH. Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study. Alzheimers Dement 2020;16:531-40. [PMID: 31859230 DOI: 10.1016/j.jalz.2019.09.084] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 6.5] [Reference Citation Analysis]
13 Mansourian M, Khademi S, Marateb HR. A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining. Diagnostics (Basel) 2021;11:393. [PMID: 33669114 DOI: 10.3390/diagnostics11030393] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Graham SA, Lee EE, Jeste DV, Van Patten R, Twamley EW, Nebeker C, Yamada Y, Kim HC, Depp CA. Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review. Psychiatry Res 2020;284:112732. [PMID: 31978628 DOI: 10.1016/j.psychres.2019.112732] [Cited by in Crossref: 13] [Cited by in F6Publishing: 9] [Article Influence: 4.3] [Reference Citation Analysis]
15 Kumar S, Oh I, Schindler S, Lai AM, Payne PRO, Gupta A. Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review. JAMIA Open 2021;4:ooab052. [PMID: 34350389 DOI: 10.1093/jamiaopen/ooab052] [Reference Citation Analysis]