Public Health & Policy

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

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Sociotechnical imaginaries and public communication: Analytical framework and empirical illustration using the case of artificial intelligence.

The concept of sociotechnical imaginaries (SIs) has been widely used and proven fruitful to understa...

Introduction to WBE case estimation: A practical toolset for public health practitioners.

Public health practitioners can use wastewater data to grasp disease dynamics, including incidence, ...

Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis.

BACKGROUND: Understanding the complex interplay between life course exposures, such as adverse child...

A robotic rehabilitation intervention in a home setting during the Covid-19 outbreak: a feasibility pilot study in patients with stroke.

BACKGROUND: Telerehabilitation allows patients to engage in therapy away from healthcare facilities,...

Intelligent recognition of human activities using deep learning techniques.

Recognition of Human Actions (HAR) Portrays a crucial significance in various applications due to it...

Dynamic simulation of knee joint mechanics: individualized multi-moment finite element modelling of patellar tendon stress during landing.

Patellar tendinopathy is prevalent in sports requiring high jumping demands, and understanding the i...

Understanding contraceptive switching rationales from real world clinical notes using large language models.

Understanding reasons for treatment switching is of significant medical interest, but these factors ...

Data-driven survival modeling for breast cancer prognostics: A comparative study with machine learning and traditional survival modeling methods.

Background This investigation delves into the potential application of data-driven survival modeling...

Detection and prevalence of avian influenza epidemic in the southwest of Poyang Lake and analysis of the influence of meteorological factors.

Recently, the epidemiological profile of avian influenza has changed dramatically worldwide. Avian i...

CAD-Unet: A capsule network-enhanced Unet architecture for accurate segmentation of COVID-19 lung infections from CT images.

Since the outbreak of the COVID-19 pandemic in 2019, medical imaging has emerged as a primary modali...

Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.

Cancer continues to be among the most substantial health challenges globally. Among various natural ...

Explainable machine learning for predicting lung metastasis of colorectal cancer.

Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, estab...

Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy.

Dysbiosis refers to the disruption of the gut microbiota balance and is the pathological basis of va...

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model.

Lymph node status is a critical prognostic predictor for patients; however, the prognosis of colorec...

A comprehensive case study of deep learning on the detection of alpha thalassemia and beta thalassemia using public and private datasets.

This study explores the performance of deep learning models, specifically Convolutional Neural Netwo...

Large-Scale Deep Learning-Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic intensified the challenges associated with mental health and subst...

Applying AI to Canada's Financial Intelligence System: Promises and Perils in Combatting Money Laundering and Terrorism Financing.

Money laundering (ML) and terrorist financing (TF) are pernicious global challenges. Estimates sugge...

Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.

The connection between fluoroquinolones and severe heart conditions, such as aortic aneurysm (AA) an...

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