日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study

迁移学习和机器学习在早期乳腺癌五年生存预后模型训练中的应用:开发与验证研究

Pilgram, Lisa; Yang, Kai; Beltran-Bless, Ana-Alicia; Pond, Gregory R; Vandermeer, Lisa; Hilton, John; Savard, Marie-France; LeBlanc, Andreanne; Shepherd, Lois; Chen, Bingshu; Bartlett, John Ms; Taylor, Karen J; Bayani, Jane; Barker, Sarah; Spears, Melanie; van der Velde, Cornelis Jh; Meershoek-Klein Kranenbarg, Elma; Dirix, Luc; Mallon, Elizabeth; Hasenburg, Annette; Markopoulos, Christos; Juwara, Lamin; Dankar, Fida K; Clemons, Mark; El Emam, Khaled

Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions

利用联邦学习革新医疗数据分析:应用、系统及未来发展方向的全面调研

Madathil, Nisha Thorakkattu; Dankar, Fida K; Gergely, Marton; Belkacem, Abdelkader Nasreddine; Alrabaee, Saed

Dynamic-informed consent: A potential solution for ethical dilemmas in population sequencing initiatives

动态知情同意:解决人群测序计划中伦理困境的潜在方案

Dankar, Fida K; Gergely, Marton; Malin, Bradley; Badji, Radja; Dankar, Samar K; Shuaib, Khaled

Informed Consent in Biomedical Research

生物医学研究中的知情同意

Dankar, Fida K; Gergely, Marton; Dankar, Samar K

The development of large-scale de-identified biomedical databases in the age of genomics-principles and challenges

基因组学时代大规模去标识化生物医学数据库的开发——原理与挑战

Dankar, Fida K; Ptitsyn, Andrey; Dankar, Samar K

Evaluating the risk of patient re-identification from adverse drug event reports

评估从不良药物事件报告中重新识别患者的风险

El Emam, Khaled; Dankar, Fida K; Neisa, Angelica; Jonker, Elizabeth