Public Health & Policy

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

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Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model.

The outbreak of the COVID-19 pandemic necessitates prompt identification of affected persons to rest...

Prediction of Potential Commercially Available Inhibitors against SARS-CoV-2 by Multi-Task Deep Learning Model.

The outbreak of COVID-19 caused millions of deaths worldwide, and the number of total infections is ...

VISOR-NET: Visibility Estimation Based on Deep Ordinal Relative Learning under Discrete-Level Labels.

This paper proposes a novel end-to-end pipeline that uses the ordinal information and relative relat...

Fall-from-Height Detection Using Deep Learning Based on IMU Sensor Data for Accident Prevention at Construction Sites.

Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury ...

Food traceability 4.0 as part of the fourth industrial revolution: key enabling technologies.

Food Traceability 4.0 (FT 4.0) is about tracing foods in the era of the fourth industrial revolution...

An End-to-End Human Abnormal Behavior Recognition Framework for Crowds With Mentally Disordered Individuals.

Abnormal or violent behavior by people with mental disorders is common. When individuals with mental...

DAFLNet: Dual Asymmetric Feature Learning Network for COVID-19 Disease Diagnosis in X-Rays.

COVID-19 has become the largest public health event worldwide since its outbreak, and early detectio...

Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records.

Background Models predicting atrial fibrillation (AF) risk, such as Cohorts for Heart and Aging Rese...

An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID-19 Diagnosis.

As a result of the COVID-19 outbreak, which has put the world in an unprecedented predicament, thous...

Classification and Reconstruction of Biomedical Signals Based on Convolutional Neural Network.

The efficient biological signal processing method can effectively improve the efficiency of research...

Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks.

BACKGROUND: Approaching epidemiological data with flexible machine learning algorithms is of great v...

InjectMeAI-Software Module of an Autonomous Injection Humanoid.

The recent pandemic outbreak proved social distancing effective in helping curb the spread of SARS-C...

Convolutional Neural Networks and Heuristic Methods for Crowd Counting: A Systematic Review.

The crowd counting task has become a pillar for crowd control as it provides information concerning ...

Human Gait Analysis: A Sequential Framework of Lightweight Deep Learning and Improved Moth-Flame Optimization Algorithm.

Human gait recognition has emerged as a branch of biometric identification in the last decade, focus...

Comparison of transvaginal mesh surgery and robot-assisted sacrocolpopexy for pelvic organ prolapse.

BACKGROUND: Pelvic organ prolapse (POP) is greatly affecting the quality of life (QOL) of women. The...

Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers.

The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (I...

Robot-Assisted General Surgery Procedures at the Veterans Health Administration: A Comparison of Surgical Techniques.

INTRODUCTION: The use of the robot in general surgery has exploded in the last decade. The Veterans ...

Exploring the Chinese Public's Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis.

The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2...

Integrating Deep Learning-Based IoT and Fog Computing with Software-Defined Networking for Detecting Weapons in Video Surveillance Systems.

Due to the widespread proliferation of multimedia traffic resulting from Internet of Things (IoT) ap...

Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

Widely applicable, accurate and fast inference methods in phylodynamics are needed to fully profit f...

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