The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...
The Think Family Database holds records on close to half a million people who live in the city of Bristol, England. For many years, few of them knew anything about it. Launched in 2016 by the Bristol ...
Loan approval is a critical decision for banks. Incorrect approvals may lead to financial loss while incorrect rejections may result in lost customers. SVM is effective for classification problems and ...
Lattice softening and diffusive dynamics in the polar metal LiReO 3 Despite extensive efforts in material physics and synthetic chemistry to improve the performance of layered oxide cathodes, ...
Essential Data Science Skills for Modern Professionals Essential Data Science Skills for Modern Professionals Data science is a rapidly evolving field that blends technology, statistics, and domain ...
Cell sorting, essential for diagnostics and early intervention, has evolved from conventional methods to sophisticated microfluidic approaches. These miniaturized systems leverage precise hydrodynamic ...
ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
Abstract: Quantum Machine Learning (QML) emerges as a particularly promising field at the combination of quantum computing and machine learning techniques, aiming to enhance performance, efficiency, ...
Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...
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