On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients.
Cristina Soguero-RuízAna Alberca Díaz-PlazaPablo de Miguel-BohoyoJavier Ramos-LópezManuel Rubio-SánchezAlberto SánchezInmaculada Mora-JiménezPublished in: IWBBIO (2) (2018)
Keyphrases
- decision trees
- medical practice
- heart failure
- clinical trials
- heart disease
- clinically relevant
- medical doctors
- spect images
- health care
- early diagnosis
- clinical diagnosis
- chronic disease
- cardiovascular disease
- differential diagnosis
- neurodegenerative diseases
- normal subjects
- primary care
- decision tree induction
- critical care
- medical diagnosis
- therapy planning
- medical knowledge
- random forest
- predictive accuracy
- intensive care unit
- decision support system
- machine learning
- clinical decision support systems
- diagnostic tool
- diagnostic tests
- clinical practice
- medical experts
- high risk
- fault diagnosis
- error correction
- clinical data
- logistic regression
- machine learning algorithms
- naive bayes
- health status
- expert systems
- health care professionals
- medical data
- obstructive sleep apnea