Public Health & Policy

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

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From real-world electronic health record data to real-world results using artificial intelligence.

With the worldwide digitalisation of medical records, electronic health records (EHRs) have become a...

Recognition and segmentation of individual pigs based on Swin Transformer.

Recognition of individual pigs is critical to the monitoring of pig body size and physiological heal...

A Multimodal Data Processing System for LiDAR-Based Human Activity Recognition.

Increasingly, the task of detecting and recognizing the actions of a human has been delegated to som...

A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning.

This paper presents an integrated and scalable precision health service for health promotion and chr...

Verbal Autopsy as a Tool for Defining Causes of Death in Specific Healthcare Contexts: Study of Applicability through a Traditional Literature Review.

Autopsy examination, the gold standard for defining causes of death, is often difficult to apply in ...

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies.

BACKGROUND: Whole-body imaging has recently been added to large-scale epidemiological studies provid...

A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.

: Since December 2019, the coronavirus (COVID-19) epidemic has sparked considerable alarm among the ...

HEp-2 image classification using a multi-class and multiple-binary classifier.

In medicine, identifying the indirect immunofluorescence of human epithelial type 2 (HEp-2) cells pl...

Smart systems and data-driven services in healthcare.

The modern development of Medicine and Healthcare is primarily based on the automation of various pr...

Continuous learning of spiking networks trained with local rules.

Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning...

Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X.

Disease X is a hypothetical unknown disease that has the potential to cause an epidemic or pandemic ...

Climate change and health in Southeast Asia - defining research priorities and the role of the Wellcome Trust Africa Asia Programmes.

This article summarises a recent virtual meeting organised by the Oxford University Clinical Researc...

Anomaly Detection in Traffic Surveillance Videos Using Deep Learning.

In the recent past, a huge number of cameras have been placed in a variety of public and private are...

A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed Integer Linear Programming.

The mixed integer linear programming (MILP) has been widely applied in many fields such as supply ch...

A Novel Method for COVID-19 Detection Based on DCNNs and Hierarchical Structure.

The worldwide outbreak of the new coronavirus disease (COVID-19) has been declared a pandemic by the...

A deep learning-based model predicts survival for patients with laryngeal squamous cell carcinoma: a large population-based study.

OBJECTIVES: To assess the performance of DeepSurv, a deep learning-based model in the survival predi...

Human Activity Recognition: Review, Taxonomy and Open Challenges.

Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains, and vision ...

Using Machine Learning Methods Incorporating Individual Reader Annotations to Classify Paediatric Chest Radiographs in Epidemiological Studies.

: Epidemiological studies that involve interpretation of chest radiographs (CXRs) suffer from inter-...

Long-term results after robot-assisted radical prostatectomy of a simplified inguinal hernia prevention technique without artificial substance use.

INTRODUCTION: Durable techniques that prevent postoperative inguinal hernia (IH) after robot-assiste...

Deep Convolutional Neural Network Mechanism Assessment of COVID-19 Severity.

As an epidemic, COVID-19's core test instrument still has serious flaws. To improve the present cond...

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