A machine learning model for the early prediction of ovarian cancer using real world data

被引：0

作者：

de la Oliva Roque, Victor Manuel ^{[1
]}

Esteban-Medina, Alberto ^{[1
]}

Alejos Collado, Laura ^{[1
]}

Louceras Munecas, Carlos ^{[1
,2
]}

Munoyerro-Muniz, Dolores ^{[3
]}

Villegas, Roman ^{[3
]}

Dopazo Blazquez, Joaquin ^{[1
,2
,4
]}

机构：

[1] Andalusian Publ Fdn Progress & Hlth FPS, Andalusian Platform Computat Med, Seville, Spain

[2] Univ Seville, Inst Biomed Seville, Univ Hosp Virgen del Rocio, IBiS,CSIC, Seville, Spain

[3] Serv Andaluz Salud, Subdirecc Tecn Asesora Gest Informac, Seville, Spain

[4] Hosp Virgen del Rocio, CDCA, FPS, ELIXIR ES,Fundac Progreso & Salud FPS, Seville, Spain

来源：

FEBS OPEN BIO | 2024年 / 14卷

关键词：

Machine-learning; real world data; ovarian cancer; disease prediction; pre-screening;

D O I：

暂无

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

ST006

引用

页码：14 / 14

页数：1

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