Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network.

Momentous increase in the popularity of explainable machine learning models coupled with the dramati...

International Criminal Law Protection of Environmental Rights and Sentencing Based on Artificial Intelligence.

Environmental problem is an international problem that transcends national boundaries and develops i...

Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach.

BACKGROUND: Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations i...

Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model.

Falls are a leading cause of death in adults 65 and older. Recent efforts to restore lower-limb func...

Analysis and Prevention and Control System of Domino Accident Risk Data in Chemical Parks Based on Topological Neural Network.

A topologically based neural network algorithm is used to conduct an in-depth study and analysis of ...

Real-Time Abnormal Object Detection for Video Surveillance in Smart Cities.

With the adaptation of video surveillance in many areas for object detection, monitoring abnormal be...

Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review.

SARS-CoV-2 (COVID-19) has been one of the worst global health crises in the 21st century. The curren...

COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level.

COVID-19 evolution imposes significant challenges for the European healthcare system. The heterogene...

The feasibility to use artificial intelligence to aid detecting focal liver lesions in real-time ultrasound: a preliminary study based on videos.

Despite the wide availability of ultrasound machines for hepatocellular carcinoma surveillance, an i...

Deep Learning for Person Re-Identification: A Survey and Outlook.

Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlap...

Detection Anomaly in Video Based on Deep Support Vector Data Description.

Video surveillance systems have been widely deployed in public places such as shopping malls, hospit...

MHA-CoroCapsule: Multi-Head Attention Routing-Based Capsule Network for COVID-19 Chest X-Ray Image Classification.

The outbreak of COVID-19 threatens the lives and property safety of countless people and brings a tr...

An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization.

The transportation industry is crucial to the realization of a smart city. However, the current grow...

Predictive models for clinical decision making: Deep dives in practical machine learning.

The deployment of machine learning for tasks relevant to complementing standard of care and advancin...

Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review.

COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide pandemic by the World H...

Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology.

Nutritional epidemiology employs observational data to discover associations between diet and diseas...

Association between loneliness and acceptance of using robots and pets as companions among older Chinese immigrants during the COVID-19 pandemic.

OBJECTIVES: To examine loneliness experienced by middle-aged and older Chinese immigrants and its as...

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