Utilizing an Artificial Neural Network to Predict Self-Management in Patients With Chronic Obstructive Pulmonary Disease: An Exploratory Analysis.

Journal: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing

PMID: 33348455

Abstract

PURPOSE: The main objective of this study was to utilize an artificial neural network in an exploratory fashion to predict self-management behaviors based on reported symptoms in a sample of stable patients with chronic obstructive pulmonary disease (COPD).

Authors

Andrew Bugajski

Delta Beta Chapter-at-Large, Assistant Professor, University of South Florida College of Nursing, Tampa, FL, USA.
Alexander Lengerich

Research Associate, University of South Florida College of Nursing, Tampa, FL, USA.
Rebecca Koerner

Delta Beta Chapter-at-Large, PhD Student, University of South Florida College of Nursing, Tampa, FL, USA.
Laura Szalacha

Professor, University of South Florida College of Nursing, Tampa, FL, USA.

Keywords

Aged Female Humans Male Middle Aged Neural Networks, Computer Predictive Value of Tests Pulmonary Disease, Chronic Obstructive Self-Management Symptom Assessment

External Resources

View on PubMed Access via DOI PubMed (33348455)

Utilizing an Artificial Neural Network to Predict Self-Management in Patients With Chronic Obstructive Pulmonary Disease: An Exploratory Analysis.

Abstract

Authors

Keywords

External Resources

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