1. Establishment of an evaluation system based on data mining tech aimed for predicting the rate of perioperative complications in old oral cancer patients.
- Author
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GAO Xian-chao, CHEN Yi-ming, YU Zhi-wei, and JI Tong
- Subjects
DATA mining ,PERIOPERATIVE care ,SURGICAL complications ,ORAL cancer patients ,TREATMENT of oral cancer ,ONCOLOGIC surgery complications ,ALGORITHMS - Abstract
PURPOSE: To establish an evaluation system based on data mining tech aimed for predicting the rate of perioperative complications in old oral cancer patients with better clinical application. METHODS: Combined APACHE II and POSSUM system as well as clinical reality, the key factors and the logical relationship were found. By using the CAG program, the evaluation system was established. RESULTS: Within the period of 7 months, the clinical data of 513 patients were collected, and an data sets sized as 50x513 with 49 key factors was finished. After some tests, the Radom Forest (RF) was chosen as the main algorithm of the model of the evaluation system (program). The system had the ability for self-study, and is planed to add the function of data output and internet use. CONCLUSION: The evaluation system is good for clinical use to predict the rate of perioperative complications in old oral cancer patients. Supported by Grant from Shanghai Municipal Bureau of Health (2009076) and the Fifth Innovation Plan for Students of Shanghai University (IAP5145). [ABSTRACT FROM AUTHOR]
- Published
- 2013