[PDF][PDF] A Work Review on Clinical Laboratory Data Utilizing Machine Learning Use-Case Methodology
U Ramasamy, S Santhoshkumar - J. Intell. Med. Healthc, 2024 - cdn.techscience.cn
More than 140 autoimmune diseases have distinct autoantibodies and symptoms, and it
makes it challenging to construct an appropriate model using Machine Learning (ML) for …
makes it challenging to construct an appropriate model using Machine Learning (ML) for …
[PDF][PDF] Least Square-Support Vector Machine Based Brain Tumor Classification System with Multi Model Texture Features
Pathological anomalies that originate in the brain encompass a spectrum of conditions, with
brain tumors standing as a significant category [1]. These tumors exhibit varying degrees of …
brain tumors standing as a significant category [1]. These tumors exhibit varying degrees of …
A transfer learning enabled approach for ocular disease detection and classification
M ul Hassan, AA Al-Awady, N Ahmed, M Saeed… - … Information Science and …, 2024 - Springer
Ocular diseases pose significant challenges in timely diagnosis and effective treatment.
Deep learning has emerged as a promising technique in medical image analysis, offering …
Deep learning has emerged as a promising technique in medical image analysis, offering …
Progressive feature reduction with varied missing data and feature selection for arthritis disease prediction
U Ramasamy, S Santhoshkumar - Journal of Intelligent & Fuzzy … - content.iospress.com
In the expansive domain of data-driven research, the curse of dimensionality poses
challenges such as increased computational complexity, noise sensitivity, and the risk of …
challenges such as increased computational complexity, noise sensitivity, and the risk of …