Using Data Mining Strategies in Clinical Decision Making: A Literature Review
Related Experiment Video
Updated: Oct 13, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Lu-Yen A Chen1, Tonks N Fawcett
1Author Affiliations: The School of Health in Social Science, The University of Edinburgh, Edinburgh, United Kingdom.
Abstract:
Several data-mining models have been embedded in the clinical environment to improve decision making and patient safety. Consequently, it is crucial to survey the principal data-mining strategies currently used in clinical decision making and to determine the disadvantages and advantages of using these strategies in data mining in clinical decision making. A literature review was conducted, which identified 21 relevant articles. The article findings showed that multiple models of data mining were used in clinical decision making. Although data mining is efficient and accurate, the models are limited with respect to disease and condition.
More Related Videos
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Clinical Trials
There are four phases in a clinical trial. A phase one...
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...
Therapeutic Drug Monitoring: Affecting Factors
Statistical Software for Data Analysis and Clinical Trials

