Robotics & Machine Learning Daily News2024,Issue(Jun.18) :64-65.

Reports Outline Candida Study Findings from University of Genoa (Prediction of C andidemia With Machine Learning Techniques: State of the Art)

热那亚大学念珠菌研究结果概述(机器学习技术预测念珠菌病:最新技术)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :64-65.

Reports Outline Candida Study Findings from University of Genoa (Prediction of C andidemia With Machine Learning Techniques: State of the Art)

热那亚大学念珠菌研究结果概述(机器学习技术预测念珠菌病:最新技术)

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摘要

由新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-真菌疾病和疾病的最新数据-念珠菌在一份新的报告中呈现。根据NewsRx记者在意大利热那亚的新闻报道,研究表明:“在这篇叙述性综述中,我们讨论了评估机器学习(ML)模型用于念珠菌病早期诊断的研究。”目前很少有研究评价ML技术作为基于临床和实验室特征的念珠菌病早期诊断的预测任务。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Fungal Diseases and Cond itions - Candida are presented in a new report. According to news reporting from Genoa, Italy, by NewsRx journalists, research stated, "In this narrative review , we discuss studies assessing the use of machine learning (ML) models for the e arly diagnosis of candidemia, focusing on employed models and the related implic ations. There are currently few studies evaluating ML techniques for the early d iagnosis of candidemia as a prediction task based on clinical and laboratory fea tures."

Key words

Genoa/Italy/Europe/Bloodstream Infect ion/Candida/Candidemia/Cyborgs/Emerging Technologies/Fungal Diseases and Co nditions/Fungi/Health and Medicine/Machine Learning/Yeast/University of Gen oa

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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