首页|Shanghai University of Traditional Chinese Medicine Reports Findings in Mastitis (Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning)
Shanghai University of Traditional Chinese Medicine Reports Findings in Mastitis (Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Breast Diseases and Co nditions - Mastitis is the subject of areport. According to news reporting orig inating from Shanghai, People’s Republic of China, by NewsRxcorrespondents, res earch stated, “This study aims to build a machine learning (ML) model to predictthe recurrence probability for postoperative non-lactating mastitis (NLM) by Ra ndom Forest (RF) andXGBoost algorithms. It can provide the ability to identify the risk of NLM recurrence and guidance inclinical treatment plan.”Funders for this research include National Natural Science Foundation of China Y outh IncubationProject of Shuguang Hospital affiliated Shanghai University of T raditional Chinese Medicine, ShanghaiMunicipal Health and Health Commission.
ShanghaiPeople’s Republic of ChinaAsiaBreast Diseases and ConditionsCyborgsEmerging TechnologiesHealth and MedicineMachine LearningMastitisSkin Diseases and Conditions
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