A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
1 Department of Critical Care Medicine, Shenzhen Baoan Shiyan People’s Hospital, Shenzhen, China 2 Department of Gynecology, Langxin Community Health Service Center, Shenzhen Baoan Shiyan People’s ...
Background: High-altitude polycythemia (HAPC) lacks a lifestyle-focused risk-stratification tool among lifelong high-altitude residents. Here we aimed to develop and validate a novel machine-learning ...
Abstract: Regression testing remains a fundamental practice in modern software engineering, ensuring system stability during frequent code changes. As systems grow more complex, regression test suites ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
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