Machine-learning diagnostic models for ovarian tumors

An ovarian tumor can be diagnosed and characterized before initial treatment via ML systems to provide critical diagnostic and prognostic information. The use of predictive algorithms can facilitate customized treatment options with patient preprocessing stratification.

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Publication Details

Journal
Heliyon
Published
2024-08-31
DOI
https://doi.org/10.1016/j.heliyon.2024.e36994
Citations
7
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
3.76
Controls
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article

Machine-learning diagnostic models for ovarian tumors

Bin Wen, Yuxi Sun
7 citations
Heliyon
Ovarian cancer diagnosis and treatment
3.76
article

Machine-learning diagnostic models for ovarian tumors

Bin Wen, Yuxi Sun
article en
7 citations

Abstract

An ovarian tumor can be diagnosed and characterized before initial treatment via ML systems to provide critical diagnostic and prognostic information. The use of predictive algorithms can facilitate customized treatment options with patient preprocessing stratification.

HeliyonVol. 10(19)
Guangdong Province Women and Children Hospital (CN)
Zero hunger
Openalex Percentile: Top 7%
Ovarian cancer diagnosis and treatment
3.76
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Machine-learning diagnostic models for ovarian tumors — Bin Wen, Yuxi Sun · Heliyon (2024) | TGRS Research Map | TGRS