[PDF][PDF] Predicting survival of heart failure patients using classification algorithms
OO Oladimeji, O Oladimeji - Journal of Information Technology …, 2020 - jitce.fti.unand.ac.id
… heart failure, … to predict survival of patients with heart failure in which their results showed
that serum creatinine and ejection fraction alone are enough to predict mortality of heart failure. …
that serum creatinine and ejection fraction alone are enough to predict mortality of heart failure. …
Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction
… This study sought to develop models for predicting mortality and heart failure (HF) hospitalization
for … of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) trial. …
for … of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) trial. …
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality
S Shin, PC Austin, HJ Ross, H Abdel‐Qadir… - … heart failure, 2021 - Wiley Online Library
… In the specific clinical context of predicting mortality from gastrointestinal bleeding, a
systematic review demonstrated higher c-indices and predictive capacity with ML compared with …
systematic review demonstrated higher c-indices and predictive capacity with ML compared with …
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
… Kaplan–Meier survival plots [54]) to predict mortality and identify the key features of 299
Pakistan patients having heart failure, from their medical records. Together with their analysis …
Pakistan patients having heart failure, from their medical records. Together with their analysis …
Improving risk prediction in heart failure using machine learning
… ones used in the past, we hypothesized that it could be used to generate a model that more
accurately predicts mortality risk among patients with HF than previously published scores. …
accurately predicts mortality risk among patients with HF than previously published scores. …
Improving the prediction of heart failure patients' survival using SMOTE and effective data mining techniques
… heart patients having heart failure previously collected at Institute of Cardiology and Allied
hospital Faisalabad, Pakistan. Authors predicted mortality … -based models to predict mortality. …
hospital Faisalabad, Pakistan. Authors predicted mortality … -based models to predict mortality. …
Scoring systems for predicting mortality for severe patients with COVID-19
Y Shang, T Liu, Y Wei, J Li, L Shao, M Liu… - …, 2020 - thelancet.com
… 3The performance of the scoring system to predict mortality of severe COVID-19 patients.
ROC curves and AUCs to assess the prediction accuracy in the training cohort (A) and the …
ROC curves and AUCs to assess the prediction accuracy in the training cohort (A) and the …
Health-related quality of life and mortality in heart failure: the global congestive heart failure study of 23 000 patients from 40 countries
I Johansson, P Joseph, K Balasubramanian… - Circulation, 2021 - Am Heart Assoc
… We demonstrate that KCCQ-12-SS predicts mortality and HF hospitalization irrespective of
NYHA class, 37,38 in both inpatients and outpatients, 13,17,20,33,39 as well as in patients …
NYHA class, 37,38 in both inpatients and outpatients, 13,17,20,33,39 as well as in patients …
[HTML][HTML] Interpretable prediction of 3-year all-cause mortality in patients with heart failure caused by coronary heart disease based on machine learning and SHAP
K Wang, J Tian, C Zheng, H Yang, J Ren, Y Liu… - Computers in biology …, 2021 - Elsevier
… An increasing number of studies are applying ML to predict cardiovascular disease [17],
and various risk models can be used to assess the risk of patients across the HF spectrum [18,19…
and various risk models can be used to assess the risk of patients across the HF spectrum [18,19…
Risk factors for predicting mortality in elderly patients with COVID-19: A review of clinical data in China
C Leung - Mechanisms of ageing and development, 2020 - Elsevier
… the risk factors for predicting mortality in elderly patients with COVID-19 by reviewing the
clinical data of deceased and discharged COVID-19 patients gathered from the public domain. …
clinical data of deceased and discharged COVID-19 patients gathered from the public domain. …
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