首页|University of Strathclyde Reports Findings in Head and Neck Cancer (Machine Lear ning in Clinical Diagnosis of Head and Neck Cancer)
University of Strathclyde Reports Findings in Head and Neck Cancer (Machine Lear ning in Clinical Diagnosis of Head and Neck Cancer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Head and Ne ck Cancer is the subject of a report. According to news reporting from Glasgow, United Kingdom, by NewsRx journalists, research stated, "Machine learning has be en effective in other areas of medicine, this study aims to investigate this wit h regards to HNC and identify which algorithm works best to classify malignant p atients. An observational cohort study." The news correspondents obtained a quote from the research from the University o f Strathclyde, "Queen Elizabeth University Hospital. Patients who were referred via the USOC pathway between January 2019 and May 2021. Predicting the diagnosis of patients from three categories, benign, potential malignant and malignant, u sing demographics and symptoms data. The classic statistical method of ordinal l ogistic regression worked best on the data, achieving an AUC of 0.6697 and balan ced accuracy of 0.641. The demographic features describing recreational drug use history and living situation were the most important variables alongside the re d flag symptom of a neck lump."
GlasgowUnited KingdomEuropeCancerCyborgsDiagnostics and ScreeningEmerging TechnologiesHead and Neck CancerHead and Neck NeoplasmsHealth and MedicineMachine LearningOncology
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