Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach

Author:

Bogani Giorgio,Ditto Antonino,Martinelli Fabio,Signorelli Mauro,Chiappa Valentina,Leone Roberti Maggiore Umberto,Taverna Francesca,Lombardo Claudia,Borghi Chiara,Scaffa Cono,Lorusso Domenica,Raspagliesi Francesco

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cancer Research,Public Health, Environmental and Occupational Health,Oncology,Epidemiology

Reference17 articles.

1. Artificial neural networks versus bivariate logistic regression in prediction diagnosis of patients with hypertension and diabetes;Adavi;Med J Islam Repub Iran,2016

2. Type-specific HPV infection correlates with risk of recurrence of vulvar intraepithelial neoplasia usual type;Bogani;Int J Cancer,2017a

3. The association of pre-treatment HPV subtypes with recurrence of VIN;Bogani;Eur J Obstet Gynecol Reprod Biol,2017b

4. Human papillomavirus (HPV) persistence and HPV 31 predict the risk of recurrence in high-grade vaginal intraepithelial neoplasia;Bogani;Eur J Obstet Gynecol Reprod Biol,2017c

5. Retrospective study of the influence of HPV persistence on outcomes among women with high-risk HPV infections and negative cytology;Bogani;Int J Gynaecol Obstet,2017d

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