Titlebook: International Conference on Biomedical and Health Informatics 2022; Proceedings of ICBHI Esteban Pino,Ratko Magjarević,Paulo de Carvalho Co

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Data-Driven Model for Long-Term Prediction of Blood Glucose in Type 2 Diabetesof patients, that predicts blood glucose values over long prediction horizons (PHs), whose existence in the literature is almost nonexistent. These horizons allow patients to be warned in advance so that they can take action to avoid dangerous health situations. We used data from 3 of the 10 real pa

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Semantic of Automatically Generated Interval-Valued Memberships Functions in Brain Magnetic Resonancsed Fuzzy Predicate Classification (T2-LFPC), which generates Interval-Valued Membership Functions (IVMF) and fuzzy predicates. They can be analyzed to interpret the images. In this work, a methodology is proposed to study the semantic of IVMF generated from brain MRI as input of the T2-LFPC. It is

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TOXIN

Breast Cancer Risk Analysis Using Deep Learning on Multi-omics Data Combined with Epigenetic Factorscer is a top-tier cancer and a substantial cause of death in women. The early identification of breast cancer can effectively reduce risk factors and mortality. Recent studies in risk analysis were focused on the stand-alone impact of genomic data ignoring the influence of environmental factors. In

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Machine Learning Algorithm for Epileptic Seizure Prediction from Scalp EEG Recordstic medications or via neurostimulation. In this context, automatic seizure prediction techniques with high sensitivity and specificity are needed. In this work, we present a machine learning method to predict epileptic seizures by analyzing the pre-ictal stage of scalp EEG recordings. The TUH EEG S

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Evaluating the Social Media Users’ Mental Health Status During COVID-19 Pandemic Using Deep Learningthe patients through the time. In this research, we studied the linguistics and visual features of depressive mood during COVID-19 pre and post-pandemic based on Flickr posts. We implemented the significant advances in text-based sentiment analysis and image classification using Natural Language Pro

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A System Detection of Atrial Fibrillation Using One ECG Derivation and Inductive Transfer Learning because electrical impulses suddenly start firing in the atria, overriding the natural pacemaker of the heart. Consequently, patients with AF may require periodic check-ups that involve performing a standardized twelve-lead Electrocardiogram (ECG) exam. Therefore, to assist doctors with AF detectio

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