Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods

Models developed using ML can provide more accurate predictions than conventional statistical methods in predicting the recurrence of Ta bladder cancer.

Authors

Institutions

Publication Details

Journal
Minerva Urology and Nephrology
Published
2026-01-01
DOI
https://doi.org/10.23736/s2724-6051.25.06385-2
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods

Alper BİTKİN, Mithat EKŞİ, Ali İ. TAŞÇI, Hakan POLAT et al.
Minerva Urology and Nephrology
Bladder and Urothelial Cancer Treatments
article

Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods

Alper BİTKİN, Mithat EKŞİ, Ali İ. TAŞÇI, Hakan POLAT, Ubeyd SUNGUR
article en

Abstract

Models developed using ML can provide more accurate predictions than conventional statistical methods in predicting the recurrence of Ta bladder cancer.

Minerva Urology and Nephrology
Bakırköy Dr.Sadi Konuk Eğitim ve Araştırma Hastanesi (TR), Sağlık Bilimleri Üniversitesi (TR)
Openalex Percentile: Top 91%
Bladder and Urothelial Cancer Treatments
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods — Alper BİTKİN, Mithat EKŞİ, et al. · Minerva Urology and Nephrology (2026) | TGRS Research Map | TGRS