KNEE OSTEOARTHRITIS DIAGNOSIS WITH UNIMODAL AND MULTI-MODAL NEURAL NETWORKS: DATA FROM THE OSTEOARTHRITIS INITIATIVE

Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative

Knee osteoarthritis (OA) is a prevalent musculoskeletal condition affecting millions wedding bands in fresno worldwide, posing significant health and economic burdens.Characterized by the degeneration of joint cartilage, the progression of knee OA varies significantly among individuals, making its prediction a complex issue.Previous studies on auto

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Predictive Power Estimation Algorithm (PPEA)--a new algorithm to reduce overfitting for genomic biomarker discovery.

Toxicogenomics promises to aid in predicting adverse effects, understanding the mechanisms of drug action or mega motion lc100 toxicity, and uncovering unexpected or secondary pharmacology.However, modeling adverse effects using high dimensional and high noise genomic data is prone to over-fitting.Models constructed from such data sets often consis

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