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
收藏
页码：14 / 14
页数：1
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