Kao D - Search Results

1

ML-MEDIC: A Preliminary Study of an Interactive Visual Analysis Tool Facilitating Clinical Applications of Machine Learning for Precision Medicine.

Stevens L, Kao D, Hall J, Görg C, Abdo K, Linstead E. Stevens L, et al. Among authors: kao d. Appl Sci (Basel). 2020 May;10(9):3309. doi: 10.3390/app10093309. Epub 2020 May 9. Appl Sci (Basel). 2020. PMID: 33664984 Free PMC article.

2

Peax: interactive visual analysis and exploration of complex clinical phenotype and gene expression association.

Hinterberg MA, Kao DP, Bristow MR, Hunter LE, Port JD, Görg C. Hinterberg MA, et al. Pac Symp Biocomput. 2015:419-30. Pac Symp Biocomput. 2015. PMID: 25592601 Free PMC article.

3

Visual analysis of biological data-knowledge networks.

Vehlow C, Kao DP, Bristow MR, Hunter LE, Weiskopf D, Görg C. Vehlow C, et al. Among authors: kao dp. BMC Bioinformatics. 2015 Apr 29;16:135. doi: 10.1186/s12859-015-0550-z. BMC Bioinformatics. 2015. PMID: 25925016 Free PMC article.

4

Phenotype-Specific Association of Single-Nucleotide Polymorphisms with Heart Failure and Preserved Ejection Fraction: a Genome-Wide Association Analysis of the Cardiovascular Health Study.

Kao DP, Stevens LM, Hinterberg MA, Görg C. Kao DP, et al. J Cardiovasc Transl Res. 2017 Jun;10(3):285-294. doi: 10.1007/s12265-017-9729-1. Epub 2017 Jan 19. J Cardiovasc Transl Res. 2017. PMID: 28105587 Free PMC article.

5

Recommendations for Reporting Machine Learning Analyses in Clinical Research.

Stevens LM, Mortazavi BJ, Deo RC, Curtis L, Kao DP. Stevens LM, et al. Circ Cardiovasc Qual Outcomes. 2020 Oct;13(10):e006556. doi: 10.1161/CIRCOUTCOMES.120.006556. Epub 2020 Oct 14. Circ Cardiovasc Qual Outcomes. 2020. PMID: 33079589 Free PMC article.

6

Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS.

Stevens LM, Linstead E, Hall JL, Kao DP. Stevens LM, et al. Circ Heart Fail. 2021 Feb;14(2):e006799. doi: 10.1161/CIRCHEARTFAILURE.119.006799. Epub 2021 Feb 9. Circ Heart Fail. 2021. PMID: 33557575 Free PMC article.

7

Machine Learning-Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure.

Segar MW, Hall JL, Jhund PS, Powell-Wiley TM, Morris AA, Kao D, Fonarow GC, Hernandez R, Ibrahim NE, Rutan C, Navar AM, Stevens LM, Pandey A. Segar MW, et al. Among authors: kao d. JAMA Cardiol. 2022 Aug 1;7(8):844-854. doi: 10.1001/jamacardio.2022.1900. JAMA Cardiol. 2022. PMID: 35793094 Free PMC article.

8

Intelligent Artificial Intelligence: Present Considerations and Future Implications of Machine Learning Applied to Electrocardiogram Interpretation.

Kao DP. Kao DP. Circ Cardiovasc Qual Outcomes. 2019 Sep;12(9):e006021. doi: 10.1161/CIRCOUTCOMES.119.006021. Epub 2019 Sep 5. Circ Cardiovasc Qual Outcomes. 2019. PMID: 31525077 Free PMC article. No abstract available.

9

Characteristics and outcomes among heart failure patients with anemia and renal insufficiency with and without blood transfusions (public discharge data from California 2000-2006).

Kao DP, Kreso E, Fonarow GC, Krantz MJ. Kao DP, et al. Am J Cardiol. 2011 Jan;107(1):69-73. doi: 10.1016/j.amjcard.2010.08.046. Am J Cardiol. 2011. PMID: 21146689 Free PMC article.

10

Impact of a Telehealth and Care Management Program on All-Cause Mortality and Healthcare Utilization in Patients with Heart Failure.

Kao DP, Lindenfeld J, Macaulay D, Birnbaum HG, Jarvis JL, Desai US, Page RL 2nd. Kao DP, et al. Telemed J E Health. 2016 Jan;22(1):2-11. doi: 10.1089/tmj.2015.0007. Epub 2015 Jul 28. Telemed J E Health. 2016. PMID: 26218252 Free PMC article.

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