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

Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning

利用机器学习对 COVID-19 预后预测中本地数据和聚合数据训练策略进行多中心比较分析

期刊:PLOS Digital Health
影响因子:7.7
doi:10.1371/journal.pdig.0000699
Savalli, Carine; Wichmann, Roberta Moreira; Filho, Fabiano Barcellos; Fernandes, Fernando Timoteo; Filho, Alexandre Dias Porto Chiavegatto
发表日期：2024
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Sex-Specific Mortality from Asbestos-Related Diseases, Lung and Ovarian Cancer in Municipalities with High Asbestos Consumption, Brazil, 2000-2017

2000-2017年巴西高石棉消费城市中与石棉相关的疾病、肺癌和卵巢癌的性别特异性死亡率

期刊:International Journal of Environmental Research and Public Health
影响因子:
doi:10.3390/ijerph19063656
Saito, Cézar Akiyoshi; Bussacos, Marco Antonio; Salvi, Leonardo; Mensi, Carolina; Consonni, Dario; Fernandes, Fernando Timoteo; Campos, Felipe; Cavalcante, Franciana; Algranti, Eduardo
肺癌
肿瘤
肿瘤免疫
卵巢癌
发表日期：2022
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Prediction of absenteeism in public schools teachers with machine learning

利用机器学习预测公立学校教师的缺勤率

期刊:Revista De Saude Publica
影响因子:2.1
doi:10.11606/s1518-8787.2021055002677
Fernandes, Fernando Timoteo; Chiavegatto Filho, Alexandre Dias Porto
发表日期：2021
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