Public Health & Policy

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

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Research on Supply Chain Financial Risk Prevention Based on Machine Learning.

Artificial intelligence (AI) proves decisive in today's rapidly developing society and is a motive f...

A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait Recognition.

The performance of human gait recognition (HGR) is affected by the partial obstruction of the human ...

A deep-learning algorithm to classify skin lesions from mpox virus infection.

Undetected infection and delayed isolation of infected individuals are key factors driving the monke...

A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.

Precipitation, as an important indicator describing the evolution of the regional climate system, pl...

Automated Monkeypox Skin Lesion Detection Using Deep Learning and Transfer Learning Techniques.

The current outbreak of monkeypox (mpox) has become a major public health concern because of the qui...

Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication.

BACKGROUND AND OBJECTIVE: Deep learning is applied in medicine mostly due to its state-of-the-art pe...

Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence.

One key task in the early fight against the COVID-19 pandemic was to plan non-pharmaceutical interve...

Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology.

The development potential of China's medical insurance market is huge, and the research on medical i...

Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique.

Plant pests and diseases play a significant role in reducing the quality of agricultural products. A...

Using Haplotype-Based Artificial Intelligence to Evaluate SARS-CoV-2 Novel Variants and Mutations.

IMPORTANCE: Earlier detection of emerging novel SARS-COV-2 variants is important for public health s...

Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.

INTRODUCTION: Many researchers used machine learning (ML) to predict the prognosis of breast cancer ...

Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models.

OBJECTIVE: The purpose of this study was to use a deep learning model and a traditional statistical ...

[Artificial intelligence and ethics in healthcare-balancing act or symbiosis?].

Artificial intelligence (AI) is becoming increasingly important in healthcare. This development trig...

Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review.

(1) Introduction: Around a million people are reported to die by suicide every year, and due to the ...

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting.

Despite the prominent use of complex survey data and the growing popularity of machine learning meth...

The effect of the pandemic on European narratives on smart cities and surveillance.

This article presents an analysis of European smart city narratives and how they evolved under the p...

Opportunities and challenges in application of artificial intelligence in pharmacology.

Artificial intelligence (AI) is a machine science that can mimic human behaviour like intelligent an...

Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era.

At the beginning of the COVID-19 pandemic, there was significant hype about the potential impact of ...

Smartwatch Sensors with Deep Learning to Predict the Purchase Intentions of Online Shoppers.

In the past decade, the scale of e-commerce has continued to grow. With the outbreak of the COVID-19...

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