Digital Technologies for Clinical, Public and Global Health Surveillance

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Bibliographische Detailangaben
Veröffentlicht in:	International Workshop on Health Intelligence (5. : 2021 : Online) AI for disease surveillance and pandemic intelligence
1. Verfasser:	Shaban-Nejad, Arash (VerfasserIn)
Weitere Verfasser:	Michalowski, Martin (VerfasserIn), Bianco, Simone (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2022
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A Prognostic Tool to Identify Youth at Risk of at Least Weekly Cannabis Use	2022	Sylvestre, Marie-Pierre
Neuro-Symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels	2022	Lavin, Alexander
Self-Disclosure in Opioid Use Recovery Furums	2022	Andy, Anietie
Interpreting Deep Neural Networks for Medical Imaging Using Concept Graphs	2022	Kori, Avinash
EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events	2022	Nguyen, Duc
Measuring Physiological Markers of Stress During Conversational Agent Interactions	2022	Datar, Shreya
Evaluation Metrics for Deep Learning Imputation Models	2022	Boursalie, Omar
Digital Technologies for Clinical, Public and Global Health Surveillance	2022	Shaban-Nejad, Arash
Imputing Fine-Grain Patterns of Mental Health with Statistical Modelling of Online Data	2022	Jack, Esther
Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging	2022	Ahn, Gun
The EpiBench Platform to Propel AU/ML-Based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-Level Performance	2022	Srivastava, Ajitesh
Predicting Patient Outcomes with Graph Representation Learning	2022	Tong, Catherine
Logistic Regression is also a Black Box. Machine Learning Can Help	2022	Butler, Liam
Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizophrenia	2022	Krell, Rony
Machine Learning Identification of Self-reported COVID-19 Symptoms from Tweets in Canada	2022	Gilbert, Jean-Philippe
RRISK: Analyzing COVID-19 Risk in Food Establishments	2022	Sundaresan, Saahil

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