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
相关论文
共 50 条
  • [31] Application of machine learning in prediction of Chemotherapy resistant of Ovarian Cancer based on Gut Microbiota
    Gong, Ting-Ting
    He, Xin-Hui
    Gao, Song
    Wu, Qi-Jun
    JOURNAL OF CANCER, 2021, 12 (10): : 2877 - 2885
  • [32] A machine learning based robust prediction model for real-life mobile phone data
    Sarker, Iqbal H.
    INTERNET OF THINGS, 2019, 5 : 180 - 193
  • [33] Efficient early prediction and diagnosis of diseases using machine learning algorithms for IoMT data
    Elbasi, Ersin
    Zreikat, Aymen, I
    2021 IEEE WORLD AI IOT CONGRESS (AIIOT), 2021, : 155 - 159
  • [34] Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data
    Kalafi, E. Y.
    Nor, N. A. M.
    Taib, N. A.
    Ganggayah, M. D.
    Town, C.
    Dhillon, S. K.
    FOLIA BIOLOGICA, 2019, 65 (5-6) : 212 - 220
  • [35] Diabetes risk prediction model based on community follow-up data using machine learning
    Jiang, Liangjun
    Xia, Zhenhua
    Zhu, Ronghui
    Gong, Haimei
    Wang, Jing
    Li, Juan
    Wang, Lei
    PREVENTIVE MEDICINE REPORTS, 2023, 35
  • [36] Diabetes Disease Prediction using Machine Learning on Big Data of Healthcare
    Mir, Ayman
    Dhage, Sudhir N.
    2018 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION (ICCUBEA), 2018,
  • [37] Early Prediction of Cardiogenic Shock Using Machine Learning
    Chang, Yale
    Antonescu, Corneliu
    Ravindranath, Shreyas
    Dong, Junzi
    Lu, Mingyu
    Vicario, Francesco
    Wondrely, Lisa
    Thompson, Pam
    Swearingen, Dennis
    Acharya, Deepak
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [38] Early Prediction of Heart Anomalies Using Machine Learning
    Sophia, B.
    Sri, M. Nithiya
    Sarulatha, R.
    Shamsudin, Shahan
    SOFT COMPUTING FOR SECURITY APPLICATIONS, ICSCS 2022, 2023, 1428 : 353 - 365
  • [39] Using Machine Learning for early prediction of Heart Disease
    Aversano, Lerina
    Bernardi, Mario Luca
    Cimitile, Marta
    Iammarino, Martina
    Montano, Debora
    Verdone, Chiara
    2022 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (IEEE EAIS 2022), 2022,
  • [40] Prediction of Battery Cycle Life Using Early-Cycle Data, Machine Learning and Data Management
    Celik, Belen
    Sandt, Roland
    dos Santos, Lara Caroline Pereira
    Spatschek, Robert
    BATTERIES-BASEL, 2022, 8 (12):
12345