Robotics & Machine Learning Daily News2024,Issue(MAY.21) :55-56.

Department of Gynecology Reports Findings in Endometriosis (FEMaLe: The use of m achine learning for early diagnosis of endometriosis based on patient self-repor ted data-Study protocol of a multicenter trial)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :55-56.

Department of Gynecology Reports Findings in Endometriosis (FEMaLe: The use of m achine learning for early diagnosis of endometriosis based on patient self-repor ted data-Study protocol of a multicenter trial)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Uterine Diseases and C onditions - Endometriosis is the subject of a report. According to news reportin g originating in Vienna, Austria, by NewsRx journalists, research stated, “Endom etriosis is a chronic disease that affects up to 190 million women and those ass igned female at birth and remains unresolved mainly in terms of etiology and opt imal therapy. It is defined by the presence of endometrium-like tissue outside t he uterine cavity and is commonly associated with chronic pelvic pain, infertili ty, and decreased quality of life.”

Key words

Vienna/Austria/Europe/Cyborgs/Diagno stics and Screening/Emerging Technologies/Endometriosis/Female Genital Diseas es and Conditions/Female Urogenital Diseases and Conditions/Health and Medicin e/Machine Learning/Quality of Life/Uterine Diseases and Conditions/Women’s H ealth

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文