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For: Bose E, Radhakrishnan K. Using Unsupervised Machine Learning to Identify Subgroups Among Home Health Patients With Heart Failure Using Telehealth. CIN: Computers, Informatics, Nursing 2018;36:242-8. [DOI: 10.1097/cin.0000000000000423] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
Number Citing Articles
1 Averbuch T, Sullivan K, Sauer A, Mamas MA, Voors AA, Gale CP, Metra M, Ravindra N, Van Spall HGC. Applications of artificial intelligence and machine learning in heart failure. European Heart Journal - Digital Health 2022;3:311-22. [DOI: 10.1093/ehjdh/ztac025] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Nouraei H, Nouraei H, Rabkin SW. Comparison of Unsupervised Machine Learning Approaches for Cluster Analysis to Define Subgroups of Heart Failure with Preserved Ejection Fraction with Different Outcomes. Bioengineering 2022;9:175. [DOI: 10.3390/bioengineering9040175] [Reference Citation Analysis]
3 Xu H, Intrator O, Culakova E, Bowblis JR. Changing landscape of nursing homes serving residents with dementia and mental illnesses. Health Serv Res 2021. [PMID: 34747498 DOI: 10.1111/1475-6773.13908] [Reference Citation Analysis]
4 Cheng X, Manandhar I, Aryal S, Joe B. Application of Artificial Intelligence in Cardiovascular Medicine. Compr Physiol 2021;11:2455-66. [PMID: 34558666 DOI: 10.1002/cphy.c200034] [Reference Citation Analysis]
5 Banerjee A, Chen S, Fatemifar G, Zeina M, Lumbers RT, Mielke J, Gill S, Kotecha D, Freitag DF, Denaxas S, Hemingway H. Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility. BMC Med 2021;19:85. [PMID: 33820530 DOI: 10.1186/s12916-021-01940-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
6 Parikh N, Daughton AR, Rosenberger WE, Aberle DJ, Chitanvis ME, Altherr FM, Velappan N, Fairchild G, Deshpande A. Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis Study. JMIR Public Health Surveill 2021;7:e24132. [PMID: 33316766 DOI: 10.2196/24132] [Reference Citation Analysis]
7 O'Connor S. Secondary Data Analysis in Nursing Research: A Contemporary Discussion. Clin Nurs Res 2020;29:279-84. [PMID: 32503394 DOI: 10.1177/1054773820927144] [Cited by in F6Publishing: 2] [Reference Citation Analysis]