ase Study1:
Data Mining Based Decision Tool for Evaluating
Treatment Choices for Uterine Fibroids [Campbell2010]
Objectives
• Can data mining techniques be applied to data collected from
patients with uterine fibroids in order to predict a treatment choice?
• Which data mining method is most successful in predicting the
treatment decisions?
Background – Uterine Fibroids
•Non cancerous tumor in muscular layer of the uterus
•30-40% of women diagnosed
•Symptoms (vary significantly)
– 50% of fibroids are asymptomatic; Heavy and painful menstruation;
Abdominal discomfort; Painful sexual intercourse; Urinary frequency
and urgency; Infertility
•Size and symptoms may subside after menopause