Buch, Englisch, Band 14848, 359 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g
11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15-17, 2024, Proceedings, Part I
Buch, Englisch, Band 14848, 359 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-64628-7
Verlag: Springer Nature Switzerland
This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Gran Canaria, Spain, during July 15-17, 2022.
The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Biomarker Identification, Biomedical Engineering, Biomedical Signal Analysis, E-Health.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
Biomarker Identification.- Elucidating cancer subtypes by using epigenome and genome cross talk.- Refining Gene Selection and Outlier Detection in Glioblastoma Based on a Consensus Approach for Regularized Survival Models.- GPACDA circRNAisease association prediction with generating polynomials.- Bioinformatics analysis provides insight into the identification of miRNAs as transcriptional regulators in respiratory syncytial virus infection.- Biomedical Engineering.- Risk Factors of Recurrence and Metastasis of Breast Cancer Sub types Based on Magnetic Resonance Imaging techniques.- Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification Impact on Energy Time and Accuracy.- Naive Bayes for Health Status Predictive Monitoring in COVID 19 Leveraging Drugs and Diagnoses.- Speech Analysis for Autism Spectrum Disorder Detection for Children.- SiMHOMer Siamese Models for Health Ontologies Merging and validation through Large Language Models.- Lossless compression of nanopore sequencing raw signals.- Medical Equipment Real Time Locating System in Hospitals based on Bluetooth Low Energy.- Validation of WHO charts mobile applications for body length and weight assessment in healthy newborns.- Predicting Atherosclerotic Plaque Onset and Growth in Carotid Arteries A CFD Driven Approach.- Hemispherical directional reflectance as a screening tool to distinguish effervescent tablets stored under stress conditions from those stored in ambient conditions.- Enhanced ergonomics in laryngoscopic surgery Exploring innovative solutions.- Maximal deadlift strength and bone mass in a group of healthy elderly men.- Multilayer Networks a survey on models analysis of algorithms and database.- Bone mineral density in middle aged former sprinters and middle aged active men.- Biomedical Signal Analysis.- Spectrum Filtering to Extract Pulse Rate Variability from Signals Recorded by Wearable Devices.- Machine Learning Model for Anxiety Disorder Diagnosis based on Sensory Time Series Data.- Analysis of the Relationship between Electrodermal Activity and Blood Glucose Level in Diabetics.- EEG Based Detection of REM Sleep Behaviour Disorder Towards a Stage Agnostic Approach.- Neural network dynamic centers of EEG alpha rhythm for objective assessment of the state of consciousness in psychopathological conditions.- Electrocardiogram and Phonocardiogram signal data fusion using Deep Learning system.- eHealth.- Application of Artificial Intelligence in Healthcare Data Analytics.- Advancements in Artificial Intelligence for Health A Rapid Review of AI based Mental Health Technologies Used in the Age of Large Language Models.- Time series models for predicting the number of patients attending the emergency department in a local hospital.
