Developing and testing a new machine learning method to identify patients with heart failure who are at risk of 30-day readmission or mortality

Research output: Contribution to journalAbstract/Meeting Abstract

Original languageEnglish
JournalHeart, Lung and Circulation
Publication statusPublished - 2018

Cite this

@article{37a7de1538b34c6e91b15fdbbd89b2f2,
title = "Developing and testing a new machine learning method to identify patients with heart failure who are at risk of 30-day readmission or mortality",
author = "Awan, {Saqib Ejaz} and Mohammed Bennamoun and Francesco Sanfilippo and Ferdous Sohel and Syed Shah and Jamie Rankin and Girish Dwivedi",
year = "2018",
language = "English",
journal = "Heart, Lung & Circulation",
issn = "1444-2892",
publisher = "Academic Press",

}

TY - JOUR

T1 - Developing and testing a new machine learning method to identify patients with heart failure who are at risk of 30-day readmission or mortality

AU - Awan, Saqib Ejaz

AU - Bennamoun, Mohammed

AU - Sanfilippo, Francesco

AU - Sohel, Ferdous

AU - Shah, Syed

AU - Rankin, Jamie

AU - Dwivedi, Girish

PY - 2018

Y1 - 2018

M3 - Abstract/Meeting Abstract

JO - Heart, Lung & Circulation

JF - Heart, Lung & Circulation

SN - 1444-2892

ER -