Acceptance of rules generated by machine learning among medical experts

Methods of Information in Medicine

Volumn 40, Issue 5, 2001, Pages 380-385

  Pazzani, M J ^a   Mani, S ^a   Shankle, W R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Alzheimer Disease; Artificial Intelligence; Mental Retardation

Indexed keywords

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; DATA BASE; DEGENERATIVE DISEASE; DEMENTIA; HUMAN; LEARNING; MEDICAL DECISION MAKING; MENTAL DEFICIENCY; NEUROLOGIC DISEASE; PRIORITY JOURNAL;

EID: 0035210113     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-0038-1634196     Document Type: Article

References (20)

1. Machine learning techniques applied to the diagnosis of acute abdominal pain
2. Machine learning applied to diagnosis of sport injuries
3. The utility of knowledge in inductive learning
4. The US economic and social costs of Alzheimer's disease revisited
5. Mini-mental state - A practical method for grading the cognitive state of patients for the clinician
6. Mental retardation, 40 pediatric clinics of North America
7. Detecting very early stages of dementia from normal aging with machine learning methods
8. Semi-naïve Bayesian classifier
9. Learning logical definitions from relations
10. Fast effective rule induction
11. Reducing misclassification costs
12. Producing more comprehensible models while retaining their performance
13. Trading accuracy for simplicity in decision trees
14. Applications of a logical discovery engine
15. The role of knowledge in a data mining algorithm
16. Integrating models of knowledge and machine learning
17. Detecting and correcting errors in rule-based expert systems: An integration of empirical and explanation-based learning
18. Using qualitative models to guide inductive learning