Using Association Rules in Antimicrobial Resistance in Stone Disease Patients.
Ioannis ManolitsisGeorgios FeretzakisLazaros TzelvesDimitris KallesEvangelos LoupelisStamatis KatsimperisThanos KosmidisAthanasios AnastasiouDimitrios D. KoutsourisStavroula KofopoulouVassilios S. VerykiosAndreas SkolarikosIoannis VarkarakisPublished in: ICIMTH (2022)
Keyphrases
- association rules
- multiple sclerosis
- medical doctors
- early diagnosis
- patient groups
- clinical studies
- cardiovascular disease
- amyotrophic lateral sclerosis
- emergency department
- disease progression
- chronic obstructive pulmonary disease
- diagnostic tool
- chronic disease
- knowledge discovery
- association rule mining
- data mining
- clinically relevant
- liver disease
- clinical data
- formal concept analysis
- electronic medical record
- cancer patients
- data mining techniques
- disease diagnosis
- frequent itemsets
- medical practitioners
- mining association rules
- breast cancer patients
- classification rules
- itemsets
- diabetic patients
- infectious disease
- colorectal cancer
- clinical trials
- medical data
- high risk
- magnetic resonance images
- apriori algorithm
- rule sets
- diagnostic process
- caudate nucleus
- healthy controls
- lung cancer patients
- medical decision making
- disease outbreaks
- frequent patterns
- medical experts
- white matter
- medical diagnosis
- health care
- mr images
- medical treatment
- data structure
- clinical practice
- computer aided