Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms

The results of this study have identified biomarkers through ML algorithms which help to identify patients with CRC prone to metastasis.

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Publication Details

Journal
Heliyon
Published
2024-12-24
DOI
https://doi.org/10.1016/j.heliyon.2024.e41443
Citations
7
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.83

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article

Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms

Sajjad Farashi, Saeid Afshar, Erfan Ayubi, Leili Tapak
7 citations
Heliyon
Radiomics and Machine Learning in Medical Imaging
2.83
article

Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms

Sajjad Farashi, Saeid Afshar, Erfan Ayubi, Leili Tapak
article en
7 citations

Abstract

The results of this study have identified biomarkers through ML algorithms which help to identify patients with CRC prone to metastasis.

HeliyonVol. 11(1)
Hamedan University of Medical Sciences (IR)
Hamadan University of Medical Sciences
Good health and well-being
Openalex Percentile: Top 9%
Radiomics and Machine Learning in Medical Imaging
2.83
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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms — Sajjad Farashi, Saeid Afshar, et al. · Heliyon (2024) | TGRS Research Map | TGRS