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prediction based » detection based (Expand Search)
aspect » aspects (Expand Search)
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
Published 2020“…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …”
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An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study
Published 2024“…The data were distributed for training (35%), testing (35%), and validation (30%) of the prediction model.</p><h3>Results</h3><p dir="ltr">In total, 70,623 records were collected in the data set from Ornge and land medical transport services to develop a prediction model. …”
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2024“…The framework consists of three phases: identification of tumor patches, scoring of tumor patches, and Her-2/neu score prediction for whole slide images (WSI) based on the distribution of each score. …”
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2023“…The framework consists of three phases: identification of tumor patches, scoring of tumor patches, and Her-2/neu score prediction for whole slide images (WSI) based on the distribution of each score. …”
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A machine learning-based optimization approach for pre-copy live virtual machine migration
Published 2023“…The experiment results show that our proposed model outperforms other machine learning models in terms of prediction accuracy and it significantly reduces downtime or service unavailability during the migration process.…”
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Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
Published 2024“…A <u>deep neural network</u>-based transfer learning framework is proposed for realizing a precise adaptive linear model called the deep transfer linear (DTL) model enabling reliable prediction of the system’s behavior in various situations and designing structured fault residuals. …”
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Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems
Published 2022“…EL is a technique that creates and combines multiple machine learning models in order to produce one optimal predictive model which gives improved results. The goal of this paper is to develop and validate effective neural networks based ensemble approach. …”
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Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals
Published 2025“…While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure monitoring. …”
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images
Published 2024“…<p dir="ltr">Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and mortality. With a significant portion of cases remaining undiagnosed, particularly in the Middle East North Africa (MENA) region, more accurate and accessible diagnostic methods are essential. …”
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The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects
Published 2022“…This pioneering study provides a reliable estimate of FH prevalence in Qatar based on a significantly large population-based cohort, whilst uncovering the spectrum of genetic variants associated with FH.…”
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