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Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care
Published 2022“…Hence, for predicting three critical clinical complications, such as sepsis, the presence of multidrug-resistant organisms, and mortality, from the data available from medical records, we used 1166 febrile neutropenia episodes reported in 513 patients. The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …”
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THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar
Published 2020“…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. Additionally, personalized medicine promises to revolutionize healthcare, with its key goal of providing the right treatment to the right patient at the right time and dose, and thus the potential of improving quality of life and helping to bring down healthcare costs.…”
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Approximation algorithms inspired by kernelization nethods
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User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations
Published 2017“…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …”
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Activity-level space scheduling
Published 1992Get full text
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Practical single node failure recovery using fractional repetition codes in data centers
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Large-scale annotation dataset for fetal head biometry in ultrasound images
Published 2023“…Its detailed annotations, broad compatibility, and ethical compliance make it a highly reusable and adaptable tool for the development of algorithms aimed at improving maternal and Fetal health.…”
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R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks
Published 2025“…The third algorithm introduces an innovative analytical method for reconstructing mini-batches, addressing a critical gap in current research that predominantly focuses on reconstructing only a single training example. …”
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Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia
Published 2023“…There was also the dysregulation of 153 plasma proteins in individuals with dementia compared with those with MCI, and machine learning algorithms identified 8 biomarkers that classified dementia from MCI with an AUC of 0.87 ± 0.07. …”
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The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
Published 2022“…The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. …”
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Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review
Published 2025“…Editorials, expert opinions, conference papers, dataset publications, and studies that did not have a clear clinical application of the AI algorithm were excluded.</p><h3>Results</h3><p dir="ltr">345 articles were identified, following abstract and full-text review by two independent reviewers, 18 manuscripts were included. …”
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Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges
Published 2025“…Still, challenges in adversarial attacks, algorithmic bias, and variable regulatory frameworks remain strong. …”
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Area Flexible GF(2k) Elliptic Curve Cryptography Coprocessor
Published 2007Get full text
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