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Titlebook: Computational Science – ICCS 2022; 22nd International C Derek Groen,Clélia de Mulatier,Peter M. A. Sloot Conference proceedings 2022 The Ed

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João L. Neto,Marco Silva,Paulo G. Pereirinhaning classification model optimized for performance. Scoring systems are commonly used in healthcare and justice. We implement feature discretization (FD) in the hyperparameter optimization process to improve classification performance and refer to the new approach as FD-RiskSLIM. We test the approa
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Sustainable Energy for Smart Citiesth Organization (WHO), heart attack is one of the greatest causes of death and disability globally. Early recognition of the various warning signs of a HA can help reduce the severity. Different machine learning (ML) models have been developed to predict the heart attack. However, patients with arte
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João L. Neto,Marco Silva,Paulo G. Pereirinha in geriatric patients, predicting unplanned readmissions becomes a very important task, that can help to improve the patient’s well-being and reduce healthcare costs. With the aim of reducing hospital readmission, more attention is to be paid to home healthcare services, since home healthcare patie
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João L. Neto,Marco Silva,Paulo G. Pereirinha Reserved for dire situations, ventilator splitting is complex, and has previously been limited to patients with similar pulmonary compliances and tidal volume requirements. To address this need, we developed a system to enable rapid and efficacious splitting between two or more patients with varyin
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Paula Ferreira,Ana Rocha,Madalena Araújog rules (rough set theory) to classify cognitive data from BIOCARD study that have been started over 20 years ago with 354 normal subjects. Patients were evaluated every year by team of neuropsychologists and neurologists and classified as normal, with MCI (mild cognitive impairments), or with demen
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Yahia Amoura,Ana I. Pereira,José Limanumerical solver..Adjoints of systems of linear equations turn out to be unconditionally numerically stable. Tangents of systems of linear equations can become instable as well as both tangents and adjoints of systems of nonlinear equations, which extends to optima of convex unconstrained objectives
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