A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms

Koc, Senem; TOMAK, LEMAN; karabulut, erdem

doi:10.4274/jus.galenos.2022.2021.0134

A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms

Senem Koc, (Nişantaşı Üniversitesi Tıp Fakültesi, Tıbbi İstatistik Anabilim Dalı, İstanbul, Türkiye)

Leman TOMAK, (Ondokuz Mayıs Üniversitesi Tıp Fakültesi Biyoistatistik Anabilim Dalı, Samsun, Türkiye)

Erdem KARABULUT (Hacettepe Üniversitesi Tıp Fakültesi, Biyoistatistik Anabilim Dalı, Ankara, Türkiye)

Journal of Urological Surgery

6 1

Yıl: 2022 Cilt: 9 Sayı: 4 Sayfa Aralığı: 265 - 271 Metin Dili: İngilizce DOI: 10.4274/jus.galenos.2022.2021.0134 İndeks Tarihi: 26-05-2023

A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms

Öz:

Objective: Infertility is a worldwide problem and causes considerable social, emotional and psychological stress between couples and among families. This study is aimed at determining the machine learning classifier capable of developing the most effective predictive model to determine the risk of infertility in men by genetic and external factors. Materials and Methods: The dataset was collected at Ondokuz Mayıs University in the Department of Urology. The model was developed using supervised learning methods and by algorithms like decision tree, K nearest neighbor, Naive bayes, support vector machines, random forest and superlearner. Performances of the classifiers were assessed with the area under the curve. Results: Results of the performance evaluation showed that support vector machines and superlearner algorithms had area under curve of 96% and 97% respectively and this performance outperformed the remaining classifier. According to the results for importance of variables sperm concentration, follicular stimulating hormone and luteinizing hormone and some genetic factors are the important risk factors for infertility. Conclusion: These findings, whenever applied to any patient’s record of infertility risk factors, can be used to predict the risk of infertility in men. The predictive model developed can be integrated into existing health information systems which can be used by urologists to predict patients’ risk of infertility in real time.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	Koc S, TOMAK L, karabulut e (2022). A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. , 265 - 271. 10.4274/jus.galenos.2022.2021.0134
Chicago	Koc Senem,TOMAK LEMAN,karabulut erdem A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. (2022): 265 - 271. 10.4274/jus.galenos.2022.2021.0134
MLA	Koc Senem,TOMAK LEMAN,karabulut erdem A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. , 2022, ss.265 - 271. 10.4274/jus.galenos.2022.2021.0134
AMA	Koc S,TOMAK L,karabulut e A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. . 2022; 265 - 271. 10.4274/jus.galenos.2022.2021.0134
Vancouver	Koc S,TOMAK L,karabulut e A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. . 2022; 265 - 271. 10.4274/jus.galenos.2022.2021.0134
IEEE	Koc S,TOMAK L,karabulut e "A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms." , ss.265 - 271, 2022. 10.4274/jus.galenos.2022.2021.0134
ISNAD	Koc, Senem vd. "A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms". (2022), 265-271. https://doi.org/10.4274/jus.galenos.2022.2021.0134

APA	Koc S, TOMAK L, karabulut e (2022). A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. Journal of Urological Surgery, 9(4), 265 - 271. 10.4274/jus.galenos.2022.2021.0134
Chicago	Koc Senem,TOMAK LEMAN,karabulut erdem A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. Journal of Urological Surgery 9, no.4 (2022): 265 - 271. 10.4274/jus.galenos.2022.2021.0134
MLA	Koc Senem,TOMAK LEMAN,karabulut erdem A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. Journal of Urological Surgery, vol.9, no.4, 2022, ss.265 - 271. 10.4274/jus.galenos.2022.2021.0134
AMA	Koc S,TOMAK L,karabulut e A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. Journal of Urological Surgery. 2022; 9(4): 265 - 271. 10.4274/jus.galenos.2022.2021.0134
Vancouver	Koc S,TOMAK L,karabulut e A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms. Journal of Urological Surgery. 2022; 9(4): 265 - 271. 10.4274/jus.galenos.2022.2021.0134
IEEE	Koc S,TOMAK L,karabulut e "A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms." Journal of Urological Surgery, 9, ss.265 - 271, 2022. 10.4274/jus.galenos.2022.2021.0134
ISNAD	Koc, Senem vd. "A Predictive Model for the Risk of Infertility in Men Using Machine Learning Algorithms". Journal of Urological Surgery 9/4 (2022), 265-271. https://doi.org/10.4274/jus.galenos.2022.2021.0134