Comparison and implementation of machine learning algorithms for breast cancer recurrence prediction

被引：0
|
作者：
Houissa, Ines [1 ]
Ghalleb, Montassar [1 ]
Jilani, Halima [2 ]
Hamdi, Sana [3 ]
Sassi, Imen [1 ]
Bouida, Med Amine [1 ]
Zenzri, Yosr [4 ]
Mousli, Alia [5 ]
Houcine, Yoldoz [6 ]
Zemni, Ines [1 ]
Dhieb, Tarak Ben [1 ]
机构：
[1] Salah Azaiez Inst, Surg Oncol Dept, Tunis, Tunisia
[2] Cent Univ, IT Dept, Tunis, Tunisia
[3] Univ Tunis Manar, Fac Sci, Tunis, Tunisia
[4] Salah Azaiez Inst, Oncoloy Dept, Tunis, Tunisia
[5] Salah Azaiez Inst, Radiotherapy Dept, Tunis, Tunisia
[6] Salah Azaiez Inst, Pathol Oncol Dept, Tunis, Tunisia
来源：
INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER | 2024年 / 34卷 / SUPPL_1期
关键词：
D O I：
10.1136/ijgc-2024-ESGO.539
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
1163
引用
收藏
页码：A278 / A278
页数：1
相关论文
共 50 条
  • [31] Enhancing fairness in breast cancer recurrence prediction through temporal machine learning models
    Sundus, Katrina I.
    Hammo, Bassam H.
    Al-Zoubi, Mohammad B.
    Neural Computing and Applications, 2024, 36 (36) : 22697 - 22718
  • [32] Comparison of Machine Learning Algorithms in Restaurant Revenue Prediction
    Gogolev, Stepan
    Ozhegov, Evgeniy M.
    ANALYSIS OF IMAGES, SOCIAL NETWORKS AND TEXTS (AIST 2019), 2020, 1086 : 27 - 36
  • [33] Comparison of Machine Learning Algorithms for Crime Prediction in Dubai
    Alabdouli, Shaikha Khamis
    Alomosh, Ahmad Falah
    Nassif, Ali Bou
    Nasir, Qassim
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (09) : 169 - 173
  • [34] On the Scalability of Machine-Learning Algorithms for Breast Cancer Prediction in Big Data Context
    Alghunaim, Sara
    Al-Baity, Heyam H.
    IEEE ACCESS, 2019, 7 : 91535 - 91546
  • [35] Developing the breast cancer risk prediction system using hybrid machine learning algorithms
    Afrash, Mohammad R.
    Bayani, Azadeh
    Shanbehzadeh, Mostafa
    Bahadori, Mohammadkarim
    Kazemi-Arpanahi, Hadi
    JOURNAL OF EDUCATION AND HEALTH PROMOTION, 2022, 11 (01) : 272
  • [36] Comparison of some machine learning and statistical algorithms for classification and prediction of human cancer type
    Shamsaei, Behrouz
    Gao, Cuilan
    2016 3RD IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS, 2016, : 296 - 299
  • [37] Ensemble learning method for the prediction of breast cancer recurrence
    Almuhaidib, Daad Abdullah
    Shaiba, Hadil Ahmed
    Alharbi, Najla Ghazi
    Alotaibi, Sara Muhammad
    Albusayyis, Fatima Moteb
    Alzaid, Mashael Abdulalim
    Almadhi, Reem Mohammed
    2018 1ST INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS & INFORMATION SECURITY (ICCAIS' 2018), 2018,
  • [38] Machine learning-based radiomics models for prediction of locoregional recurrence in patients with breast cancer
    Lee, Joongyo
    Yoo, Sang Kyun
    Kim, Kangpyo
    Lee, Byung Min
    Park, Vivian Youngjean
    Kim, Jin Sung
    Kim, Yong Bae
    ONCOLOGY LETTERS, 2023, 26 (04)
  • [39] MRI Radiomics and Machine Learning for the Prediction of Oncotype Dx Recurrence Score in Invasive Breast Cancer
    Romeo, Valeria
    Cuocolo, Renato
    Sanduzzi, Luca
    Carpentiero, Vincenzo
    Caruso, Martina
    Lama, Beatrice
    Garifalos, Dimitri
    Stanzione, Arnaldo
    Maurea, Simone
    Brunetti, Arturo
    CANCERS, 2023, 15 (06)
  • [40] Using Machine Learning Algorithms for Breast Cancer Diagnosis
    El-Lamey, Mazen Mobtasem
    Eid, Mohab Mohammed
    Gamal, Muhammad
    Bishady, Nour-Elhoda Mohamed
    Mohamed, Ali Wagdy
    INTERNATIONAL JOURNAL OF APPLIED METAHEURISTIC COMPUTING, 2021, 12 (04) : 117 - 154
12345