首页|Medical University of Bialystok Reports Findings in Adrenalectomy (Patient class ification and attribute assessment based on machine learning techniques in the q ualification process for surgical treatment of adrenal tumours)
Medical University of Bialystok Reports Findings in Adrenalectomy (Patient class ification and attribute assessment based on machine learning techniques in the q ualification process for surgical treatment of adrenal tumours)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery - Adrenalectom y is the subject of a report. According to news reporting originating from Bialy stok, Poland, by NewsRx correspondents, research stated, "Adrenal gland incident aloma is frequently identified through computed tomography and poses a common cl inical challenge. Only selected cases require surgical intervention." Our news editors obtained a quote from the research from the Medical University of Bialystok, "The primary aim of this study was to compare the effectiveness of selected machine learning (ML) techniques in proper qualifying patients for adr enalectomy and to identify the most accurate algorithm, providing a valuable too l for doctors to simplify their therapeutic decisions. The secondary aim was to assess the significance of attributes for classification accuracy. In total, cli nical data were collected from 33 patients who underwent adrenalectomy. Histopat hological assessments confirmed the proper selection of 21 patients for surgical intervention according to the guidelines, with accuracy reaching 64% . Statistical analysis showed that Supported Vector Machines (linear) were signi ficantly better than the baseline (p <0.05), with accuracy reaching 91%, and imaging features of the tumour were found to be the most crucial attributes."
BialystokPolandEuropeAdrenalectomyCyborgsEmerging TechnologiesEndocrine Surgical ProceduresHealth and Medi cineMachine LearningSurgery
NETL
NSTL
