Public Health & Policy

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

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DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model.

Violence recognition in surveillance videos is a vital feature of current security systems. It can i...

Physiological and morphological impact of physical activity and nutritional interventions to offset disuse-induced skeletal muscle atrophy.

Skeletal muscle tissue acts as a functional unit for physical movements, energy metabolism, thermoge...

Predicting the environmental fate of biodegradable mulch films: A machine learning approach for sustainable agriculture.

Biodegradable plastic mulch films (BDM) have been proposed as one of the dominant strategies for pla...

Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model.

BACKGROUND: This study estimates the incidence of seasonal infectious diseases, including influenza,...

Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.

Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitativ...

Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China.

BACKGROUND: Allergic rhinitis is a common disease that can affect the health of patients and bring h...

Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records.

Measuring medication discontinuation in claims data primarily relies on the gaps between prescriptio...

Low-cost algorithms for clinical notes phenotype classification to enhance epidemiological surveillance: A case study.

OBJECTIVE: Our study aims to enhance epidemic intelligence through event-based surveillance in an em...

The Emergence of AI in Public Health Is Calling for Operational Ethics to Foster Responsible Uses.

This paper discusses the responsible use of artificial intelligence (AI) in public health and in med...

Refining early detection of Marburg Virus Disease (MVD) in Rwanda: Leveraging predictive symptom clusters to enhance case definitions.

BACKGROUND: Marburg Virus Disease (MVD) poses a significant global health risk due to its high case ...

AI models uncover factors influencing scorpionism in Northern Brazil.

Envenomation by scorpion stings is a serious public health problem in tropical regions of the world....

Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks.

Amyloid- positron emission tomography can reflect the Amyloid- protein deposition in the brain and t...

Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species.

Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfl...

Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial.

The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...

The generative revolution: AI foundation models in geospatial health-applications, challenges and future research.

In an era of rapid technological advancements, generative artificial intelligence and foundation mod...

Artificial intelligence in hospital infection prevention: an integrative review.

BACKGROUND: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, cont...

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