Prediction of 5-year overall survival in cervical cancer patients treated with radical hysterectomy using computational intelligence methods.

Journal: BMC cancer

Published Date: Dec 12, 2017

Abstract

BACKGROUND: Computational intelligence methods, including non-linear classification algorithms, can be used in medical research and practice as a decision making tool. This study aimed to evaluate the usefulness of artificial intelligence models for 5-year overall survival prediction in patients with cervical cancer treated by radical hysterectomy.

Authors

Bogdan Obrzut

Department of Gynaecology and Obstetrics, Faculty of Medicine, University of Rzeszow, Lwowska 60, Rzeszow, 35-301, Poland.
Maciej Kusy
Andrzej Semczuk

IIND Department of Gynecology, Lublin Medical University, al. Raclawickie 1, Lublin, 20-059, Poland.
Marzanna Obrzut

Faculty of Medicine, University of Rzeszow, al. Kopisto 2a, Rzeszow, 35-959, Poland.
Jacek Kluska

Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 12, Rzeszow, 35-959, Poland.

Keywords

Adult Aged Female Follow-Up Studies Humans Hysterectomy Middle Aged Neural Networks, Computer Postoperative Complications ROC Curve Support Vector Machine Survival Analysis Uterine Cervical Neoplasms

External Resources

View on PubMed Access via DOI PubMed (29233120)

Prediction of 5-year overall survival in cervical cancer patients treated with radical hysterectomy using computational intelligence methods.

Abstract

Authors

Keywords

External Resources

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