Hybrid Approach to Predict Prostate Cancer by IPCA Analysis with Boosting and Bagging Classifier-Reference-Cited by-同舟云学术

Hybrid Approach to Predict Prostate Cancer by IPCA Analysis with Boosting and Bagging Classifier

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
language:
Short-container-title:

Author:

Mubarak Gundloori¹,C Rajabhushanam²

Affiliation:

1. Bharath Institute of Higher Education and Research Chennai,Department of CSE,Tamil Nadu

2. Aditya College of Engineering,Department of CSE,Madanapalle,Andhra Pradesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182388/10182370/10182926.pdf?arnumber=10182926

Reference30 articles.

1. Incidental Prostate Cancer from Prostate with Benign Biopsies: A Predictive and Survival Analysis from Cohort Study

2. The impact of age on pathological insignificant prostate cancer rates in contemporary robot- assisted prostatectomy patients despite active surveillance eligibility;leyh-bannurah;Minerva Urology and Nephrology,2021

3. Multiparametric Magnetic Resonance Imaging Grades the Aggressiveness of Prostate Cancer

4. Detecting depression using Hybrid models created using Google's BERT and Facebook's Fast Text Algorithms

5. Incidental Prostate Cancer Diagnosis During Holmium Laser Enucleation: Assessment of Predictors, Survival, and Disease Progression

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithms;Scientific Reports;2024-09-05