A Novel Approach for Predicting the Survival of Colorectal Cancer Patients Using Machine Learning Techniques and Advanced Parameter Optimization Methods

This research enabled the development of effective classification models that can be applied in clinical practice.

Authors

Wojciech Książek (ORCID: https://orcid.org/0000-0001-8743-8758)
Patrycja Mrowczyk (ORCID: https://orcid.org/0000-0002-4569-2173)
Andrzej Woźniacki

Institutions

Cracow University of Technology (PL)

Publication Details

Journal: Cancers
Published: 2024-09-20
DOI: https://doi.org/10.3390/cancers16183205
Citations: 20
Primary Topic: AI in cancer detection
Type: article
Field-Weighted Citation Impact: 6.95

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article

A Novel Approach for Predicting the Survival of Colorectal Cancer Patients Using Machine Learning Techniques and Advanced Parameter Optimization Methods

Wojciech Książek, Patrycja Mrowczyk, Andrzej Woźniacki

Sep 20, 2024

20 citations

Cancers

AI in cancer detection

6.95

article

A Novel Approach for Predicting the Survival of Colorectal Cancer Patients Using Machine Learning Techniques and Advanced Parameter Optimization Methods

Wojciech Książek, Patrycja Mrowczyk, Andrzej Woźniacki

September 20, 2024article en

20 citations

Abstract

This research enabled the development of effective classification models that can be applied in clinical practice.

CancersVol. 16(18)

Cracow University of Technology (PL)

Good health and well-being

Openalex Percentile: Top 3%

AI in cancer detection

6.95

DOI Open Access PDF OpenAlex

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A Novel Approach for Predicting the Survival of Colorectal Cancer Patients Using Machine Learning Techniques and Advanced Parameter Optimization Methods — Wojciech Książek, Patrycja Mrowczyk, et al. · Cancers (2024) | TGRS Research Map | TGRS