The whole is greater than the sum of its parts: combining classical statistical and machine intelligence methods in medicine

Affiliations

¹ Department of Information Services, Center for Research Informatics and Innovation, Northwell Health, New Hyde Park, New York, USA.
² Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Institute for Next Generation Healthcare, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
³ Division of Cardiology, West Virginia Heart and Vascular Institute, Morgantown, West Virginia, USA.

Comment

Khader Shameer et al. Heart. 2018 Jul.

. 2018 Jul;104(14):1228.

doi: 10.1136/heartjnl-2018-313377.

¹ Department of Information Services, Center for Research Informatics and Innovation, Northwell Health, New Hyde Park, New York, USA.
² Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Institute for Next Generation Healthcare, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
³ Division of Cardiology, West Virginia Heart and Vascular Institute, Morgantown, West Virginia, USA.

No abstract available

Keywords: cardiac imaging and diagnostics; heart disease.

Conflict of interest statement

Competing interests: None declared.

Machine learning in cardiovascular medicine: are we there yet?
Shameer K, Johnson KW, Glicksberg BS, Dudley JT, Sengupta PP. Shameer K, et al. Heart. 2018 Jul;104(14):1156-1164. doi: 10.1136/heartjnl-2017-311198. Epub 2018 Jan 19. Heart. 2018. PMID: 29352006 Review.
Statistics in cardiovascular medicine: there is still gold in the old.
van den Heuvel ER, Vasan RS. van den Heuvel ER, et al. Heart. 2018 Jul;104(14):1227. doi: 10.1136/heartjnl-2018-313303. Heart. 2018. PMID: 29945950 No abstract available.