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- Title
USE OF AN INTELLIGENT SYSTEM FOR PREOPERATIVE ASSESSEMENT OF LIKELY OUTCOME OF PERIPHERAL NERVE SURGERY.
- Authors
Kika, Alda; Ninka, Ilia; Çiço, Betim; Alimehmeti, Ridvan
- Abstract
The predictability of a preoperative surgical result is a very important factor in tailoring an appropriate therapy for peripheral nerve surgery. In this paper, data mining is used as a predictive tool to prognosticate a patient's postoperative course, prior to surgery being undertaken. Data records of patients who underwent peripheral nerve surgery was analysed to identify factors that most influenced the outcome of surgery, including timing from the onset of nerve damage to surgery, distance of the nerve to the muscle, type of nerve repair, patient age and gender. Application of a data-mining algorithm on filtered data collected from patients previously operated upon induced clinical prediction rules. A technique of decision-tree learning using the Weka suite was applied to the records. Predictability of surgical outcome can be used to improve the overall results and expectations, both of surgeon and patient, influencing positively their interaction reflected in preoperative informed consent.
- Subjects
PERIPHERAL nervous system surgery; PREOPERATIVE period; CLINICAL prediction rules; DECISION making in clinical medicine; DATA mining; ALGORITHMS; MEDICAL informatics; DECISION trees; KNOWLEDGE management
- Publication
Albanian Journal of Natural & Technical Sciences, 2009, Vol 26, Issue 2, p13
- ISSN
2074-0867
- Publication type
Article