Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A comorbidity-based recommendation engine for disease prediction
33
Zitationen
2
Autoren
2010
Jahr
Abstract
A recommendation engine for disease prediction that combines clustering and association analysis techniques is proposed. The system produces local prediction models, specialized on subgroups of similar patients by using the past patient medical history, to determine the set of possible illnesses an individual could develop. Each model is generated by using the set of frequent diseases that contemporarily appear in the same patient. The illnesses a patient could likely be affected in the future are obtained by considering the items induced by high confidence rules generated by the frequent diseases. Experimental results show that the proposed approach is a feasible way to diagnose diseases.
Ähnliche Arbeiten
R: A Language and Environment for Statistical Computing
2000 · 352.998 Zit.
Data mining: concepts and techniques
2012 · 28.872 Zit.
Data Mining: Practical Machine Learning Tools and Techniques
2011 · 25.709 Zit.
An introduction to ROC analysis
2005 · 20.968 Zit.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
2013 · 19.405 Zit.