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Produktinformationen "Wireless Mobile Communication and Healthcare"

Experiences in Designing a Mobile Speech-Based Assessment Tool for Neurological Diseases.- Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes.- Understanding E-Mental Health for People with Depression: An Evaluation Study.- Evaluating memory and cognition via a wearable EEG system: a preliminary study.- Towards Mobile-based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus.- Machine Learning in eHealth Applications.-Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network.- A Deep Learning Model for Exercise-Based Rehabilitation using Multi-channel Time-Series Data from a Single Wearable Sensor.- Bayesian Inference Federated Learning for Heart Rate Prediction.- Health Telemetry and Platforms.- A home-based self-administered assessment of neck proprioception.-Health Telescope: system design for longitudinal data collection using mobile applications.-Design of a Mobile-Based Neurological Assessment Tool for Aging Populations.-Improving Patient Throughput By Streamlining The Surgical Care-Pathway Process.-Connect - Blockchain and Self-Sovereign Identity Empowered Contact Tracing Platform.-EAI International Workshop on Medical Artificial Intelligence 2020.-Expanding eVision's Granularity of Influenza Forecasting.-Explainable Deep Learning for Medical Time Series Data.-The effects of masking when classifying images of melanoma through CNNs.-Robust and markerfree in vitro axon segmentation with CNNs.-Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis.-A Proposal of Clinical Decision Support System using Ensemble Learning For Coronary Artery Disease Diagnosis.-Deep-Learning-based Feature Encoding of Clinical Parametersfor Patient Specifc CTA Dose Optimization COVID-19 patient outcome prediction using selected features from emergency department data and feed-forward neural networks.-EAI International Workshop on Digital Healthcare Technologies for the Global South.-Validation of Omron Wearable Blood Pressure Monitor HeartGuide in Free-living Environments.-Artificial Empathy for Clinical Companion Robots with Privacy-by-Design.

Untertitel
9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings

H | B | T | Gramm
235 mm | 155 mm | 21 mm | 569 gr

Erscheinungsjahr
2021

FSK
0

Ausgabe
Taschenbuch

Verlag
Springer

ISBN-10
3030705684

ISBN-13
9783030705688

Weitere Mitwirkende
Yordanova, Kristina | O'Grady, Michael J. | Ye, Juan | Civitarese, Gabriele

Sprache
Englisch

Seitenanzahl
376

Themen
Künstliche Intelligenz KI, Computeranwendungen in Industrie und Technologie, Künstliche Intelligenz KI, Computerhardware

Verantwortliche Person gemäß Art. 16 GPSR
Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115, Heidelberg, DE, ProductSafety@springernature.com

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