AI for Disease Surveillance and Pandemic Intelligence

Intelligent Disease Detection in Action

Häftad, Engelska, 2023

Av Arash Shaban-Nejad, Martin Michalowski, Simone Bianco

2 309 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance.

Produktinformation

Utgivningsdatum2023-03-10
Mått155 x 235 x 20 mm
Vikt534 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor331
FörlagSpringer Nature Switzerland AG
ISBN9783030930820

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin
Artificiell intelligens inom Data och it
Databaser inom Data och it

Digital Technologies for Clinical, Public and Global Health Surveillance.- Imputing Fine-grain Patterns of Mental Health with Statistical Modelling of Online Data.- Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizo-phrenia.-A Prognostic Tool to Identify Youth at Risk of at Least Weekly Cannabis Use.- Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Pro-grammed Deep Kernels.-Self-Disclosure in Opioid Use Recovery Forums.- Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging.- Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies.- Machine Learning Identification of Self-Reported COVID-19 Symptoms from Tweets in Canada.- RRISK: Analyzing COVID-19 Risk in Food Establishments.- AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature.- Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis.- The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance.- Interpretable Classification of Human Exercise Videos through Pose Esti-mation and Multivariate Time Series Analysis.- Interpreting Deep Neural Networks for Medical Imaging using Concept Graphs.- Do Deep Neural Networks Forget Facial Action Units? - Exploring the Ef-fects of Transfer Learning in Health Related Facial Expression Recognition.- Utilizing Predictive Analysis to Aid Emergency Medical Services.- Measuring Physiological Markers of Stress During Conversational Agent Interactions.- EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events.- Predicting Patient Outcomes with Graph Representation Learning.- Patient-Specific Seizure Prediction Using Single Seizure Electroenceph-alography Recording.- Evaluation Metrics for Deep Learning Imputation Models.- Logistic Regression Is Also A Black Box. Machine Learning Can Help.