Public Health & Policy

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

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Showing 169-189 of 7,969 articles
Hotspots and Trends in Research on Early Warning of Infectious Diseases: A Bibliometric Analysis Using CiteSpace.

Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises a...

Empowering Pharmacists in Type 2 Diabetes Care: Opportunities for Prevention, Counseling, and Therapeutic Optimization.

Diabetes is a growing chronic disease with complications that impose a significant burden on healthc...

Machine learning prediction for early-stage melanoma outcomes: recurrence-free survival, disease-specific survival, and overall survival.

This study compared machine-learning models for predicting recurrence-free survival (RFS), disease-s...

Brugada syndrome.

Brugada syndrome (BrS) is a cardiac channelopathy associated with an elevated risk of arrhythmias an...

CervicalMethDx: a precision DNA methylation test to identify risk of high-grade intraepithelial lesions in cervical cancer screening algorithms.

Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...

Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies.

Public health emergencies (PHEs) pose significant challenges to global urban governance systems, nec...

Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.

OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to signif...

Regulating the future of laboratory medicine: European regulatory landscape of AI-driven medical device software in laboratory medicine.

Artificial intelligence (AI) is rapidly transforming laboratory medicine, impacting medical devices ...

Epidemiological Dynamics of a Visually Apparent Disease: Camera Trapping and Machine-Learning Applied to Rumpwear in the Common Brushtail Possum.

Visually apparent diseases are valuable for investigating and monitoring the occurrence and prevalen...

Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest.

Intrusion detection in Wireless Sensor Networks (WSNs) is an emerging area of research, given their ...

Machine Learning and Artificial Intelligence in Suicide Prevention: A Bibliometric Analysis of Emerging Trends and Implications for Nursing.

Nurses play a crucial role in suicide prevention, yet the integration of artificial intelligence and...

Blood pressure monitoring is key in aortic dissection.

Blood pressure (BP) control is essential for both the prevention and long-term management of aortic ...

The risk factors for relapse behavior in individuals with substance use disorders: An interpretable machine learning study.

BACKGROUND: Substance abuse has become a serious public health problem worldwide, and finding effect...

Can ChatGPT Counter Vaccine Hesitancy? An Evaluation of ChatGPT's Responses to Simulated Queries from the General Public.

Vaccines have eradicated deadly diseases, yet vaccine hesitancy persists, leading to reduced uptake...

Evaluating the usability of an HIV-prevention artificial intelligence chatbot in Malaysia: national observational study.

BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.

As a major worldwide health concern, influenza still requires precise modeling of flu dynamics and e...

Easy and Fast Discrimination of Female Sand Flies from Species with Infrared Spectroscopy and Multivariate Analysis.

Accurate identification of sandfly species is critical for controlling and preventing the spread of ...

In-silico evaluation of Azadirachta indica-derived Daucosterol against key viral proteins of Ebolavirus using ML and MD simulations approach.

Ebola virus disease (EVD) is an acute life-threatening disease caused by highly pathogenic Ebolaviru...

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