Public Health & Policy

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

9,131 articles

Subcategories: Clinical Trials Environmental Health Ethics Health Policy Medicaid Medical Education Military Medicine Stem Cell Research US Health Policy Work Force

Showing 2773-2793 of 9,131 articles

Introduction to Machine Learning in Digital Healthcare Epidemiology.

To exploit the full potential of big routine data in healthcare and to efficiently communicate and c...

Nov 2018 30394238

Risky Business: Judging the Use of Non-Vitamin K Antagonist Oral Anticoagulants for Non-Valvular Atrial Fibrillation in Patients with Renal Dysfunction.

Warfarin, for many years, was the only oral anticoagulant availablt on the market for the prevention...

Oct 2018 31139274

Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.

Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. In...

Oct 2018 30419537

A Machine Learning Approach to Identify NIH-Funded Applied Prevention Research.

INTRODUCTION: To fulfill its mission, the NIH Office of Disease Prevention systematically monitors N...

(1)

Oct 2018 30458951

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.

Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, are common in aging,...

Oct 2018 30326293

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits.

The importance of social components of health has been emphasized both in epidemiology and public he...

(1)

Oct 2018 31304329

Health intelligence: how artificial intelligence transforms population and personalized health.

Advances in computational and data sciences for data management, integration, mining, classification...

Oct 2018 31304332

Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an aller...

Sep 2018 30266231

Organization of the cancer network in SUS: evolution of the care model.

In the current context of epidemiological transition, demographic changes, changes in consumption an...

Sep 2018 30281696

Digital diabetes: Perspectives for diabetes prevention, management and research.

Digital medicine, digital research and artificial intelligence (AI) have the power to transform the ...

Sep 2018 30243616

Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.

Several studies have reported a conflicting association between vitamin D deficiency, vitamin D rece...

(1)

Sep 2018 30683435

CNN-Based Multimodal Human Recognition in Surveillance Environments.

In the current field of human recognition, most of the research being performed currently is focused...

(3)

Sep 2018 30208648

Kyasanur Forest Disease Classification Framework Using Novel Extremal Optimization Tuned Neural Network in Fog Computing Environment.

Kyasanur Forest Disease (KFD) is a life-threatening tick-borne viral infectious disease endemic to S...

(1)

Sep 2018 30173290

Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.

BACKGROUND: Timely understanding of public perceptions allows public health agencies to provide up-t...

(1)

Jul 2018 29986843

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Introduction to Machine Learning in Digital Healthcare Epidemiology.

Risky Business: Judging the Use of Non-Vitamin K Antagonist Oral Anticoagulants for Non-Valvular Atrial Fibrillation in Patients with Renal Dysfunction.

Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.

A Machine Learning Approach to Identify NIH-Funded Applied Prevention Research.

Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits.

Health intelligence: how artificial intelligence transforms population and personalized health.

Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Organization of the cancer network in SUS: evolution of the care model.

Digital diabetes: Perspectives for diabetes prevention, management and research.

Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.

CNN-Based Multimodal Human Recognition in Surveillance Environments.

Kyasanur Forest Disease Classification Framework Using Novel Extremal Optimization Tuned Neural Network in Fog Computing Environment.

The Elephant in the Room: Outbreak of Carfentanil Deaths in Minnesota and the Importance of Multiagency Collaboration.

Artificial Intelligence in Public Health and Epidemiology.

Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Predicting Infectious Disease Using Deep Learning and Big Data.

Utilizing Big Data in Cancer Care.

Extracting psychiatric stressors for suicide from social media using deep learning.

A machine learning method to monitor China's AIDS epidemics with data from Baidu trends.

Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.

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