Public Health & Policy

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

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A systematic review of data mining and machine learning for air pollution epidemiology.

BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasi...

An outbreak of classical swine fever in pigs in Bangladesh, 2015.

In a group of 22 healthy pigs aged between 4 and 6 months, 2 pigs became ill with high fever, comple...

Graph-based representation of behavior in detection and prediction of daily living activities.

Various surveillance systems capture signs of human activities of daily living (ADLs) and store mult...

Propensity Scores in Pharmacoepidemiology: Beyond the Horizon.

PURPOSE OF REVIEW: Propensity score methods have become commonplace in pharmacoepidemiology over the...

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.

BACKGROUND: Automated disease code classification using free-text medical information is important f...

A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults.

BACKGROUND: Type 2 diabetes is the most expensive chronic disease in the United States. Two-thirds o...

Poor vitamin D status increases the risk of anemia in school children: National Food and Nutrition Surveillance.

OBJECTIVES: This study aimed to investigate the association between 25-hydroxyvitamin D (25[OH]D) co...

Escape and surveillance asymmetries in locusts exposed to a Guinea fowl-mimicking robot predator.

Escape and surveillance responses to predators are lateralized in several vertebrate species. Howeve...

Prediction of lung cancer patient survival via supervised machine learning classification techniques.

Outcomes for cancer patients have been previously estimated by applying various machine learning tec...

Survivability prediction of colon cancer patients using neural networks.

We utilize deep neural networks to develop prediction models for patient survival and conditional su...

Stakeholders' Perceptions Sought to Inform the Development of a Low-Cost Mobile Robot for Older Adults: A Qualitative Descriptive Study.

Creative solutions are needed to support community-dwelling older adults residing in a variety of se...

Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to cont...

Persistent light to moderate alcohol intake and lung function: A longitudinal study.

Alcohol intake has been inconsistently associated with lung function levels in cross-sectional studi...

Use of Mac-2 binding protein as a biomarker for nonalcoholic fatty liver disease diagnosis.

In contrast to patients with viral hepatitis, patients with nonalcoholic fatty liver disease (NAFLD)...

Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks.

From May to July 2015, there was a nation-wide outbreak of Middle East respiratory syndrome (MERS) i...

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach.

Face attribute estimation has many potential applications in video surveillance, face retrieval, and...

Outcomes of combination MRI-targeted and transperineal template biopsy in restaging low-risk prostate cancer for active surveillance.

OBJECTIVE: Active surveillance (AS) offers a strategy to reduce overtreatment and now is a widely ac...

Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India.

BACKGROUND: There are limited data on the use of artificial intelligence methods for the diagnosis o...

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study.

BACKGROUND: Early identification and intervention are imperative for suicide prevention. However, at...

Long-term survival after surveillance and treatment in patients with chronic viral hepatitis and hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the main cause of mortality in patients with chronic viral hepatit...

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