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Machine Learning Techniques for Pharmaceutical Bioinformatics
Published 2018“…This set of attributes imposes how each drug performs its action inside a human body. Drug molecule interacts with multiple components in the biological system, for example, enzymes, proteins, among other drugs. …”
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Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
Published 2020“…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…”
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Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
Published 2024“…Despite efforts by researchers to enhance received speech quality using various state-of-the-art signal processing techniques, challenges persist, especially in scenarios involving multiple sources of speech, environmental noise, and other adverse conditions. …”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
Published 2025“…<p dir="ltr">Autism Spectrum Disorder (ASD) is a genetic and neurological condition that leads to difficulties in communication and social interaction. The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. …”
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Activity-level space scheduling
Published 1992Get full text
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Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
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On the complexity of bilinear computations
Published 1984Get full text
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Performance Prediction Using Classification
Published 2019“…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …”
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