Multi-label classification methods for improving comorbidities identification

• Published in: Computers in biology and medicine Vol. 100; pp. 279 - 288
• Main Authors: Wosiak, A., Glinka, K., Zakrzewska, D.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.09.2018; Elsevier Limited
• Subjects: Accuracy; Artificial Intelligence; Classification; Comorbidity; Comorbidity identification; Computer applications; Datasets; Decision making; Diagnosis, Computer-Assisted; Diagnostic systems; Experiments; Humans; Identification methods; Illnesses; Improving medical diagnosis; Label dependence; Medical diagnosis; Methods; Multi-label classification; Multi-perspective recognition; Patients; Pattern Recognition, Automated; Performance evaluation; Standard deviation; Label dependence; Comorbidity identification; Multi-perspective recognition; Multi-label classification; Improving medical diagnosis

The medical diagnostic process may be supported by computational classification techniques. In many cases, patients are affected by multiple illnesses, and more than one classification label is required to improve medical decision-making. In this paper, we consider a multi-perspective classification...