Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records

Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records

The aim of this study is to characterize the performance of an inclination analysis for predicting the onset of heart failure (HF) from routinely collected clinical biomarkers extracted from primary care electronic medical records. A balanced dataset of 698 patients (with/without HF), including a mi...

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Bibliographic Details
Main Authors: Guergachi, A. (Author), Guida, F. (Author), Keshavjee, K. (Author), Khatami, A. (Author), Lenatti, M. (Author), Paglialonga, A. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Balanced datasets
biological marker
Biomarkers
Blood pressure
Cardiology
Decision trees
disease prediction
Disease prediction
E-learning
electronic health record
Electronic Health Records
Electronic medical record
electronic medical records (EMR)
Forecasting
heart failure
Heart failure
Heart Failure
human
Humans
Inclination analyse
inclination analysis
longitudinal data
Longitudinal data
machine learning
Machine learning
Machine Learning
Machine-learning
Medical computing
Medical record
Performance
Population statistics
Primary care
primary health care
Primary Health Care
Risk assessment
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