Public Health & Policy

Health Policy

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

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Smooth Bayesian network model for the prediction of future high-cost patients with COPD.

INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute...

Facilitating accurate health provider directories using natural language processing.

BACKGROUND: Accurate information in provider directories are vital in health care including health i...

A Supervised Approach to Robust Photoplethysmography Quality Assessment.

Early detection of Atrial Fibrillation (AFib) is crucial to prevent stroke recurrence. New tools for...

Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item simila...

Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity - A review.

In recent years, the variety and volume of data acquired by modern analytical instruments in order t...

Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.

We introduce Bayesian QuickNAT for the automated quality control of whole-brain segmentation on MRI ...

Quality assurance of computer-aided detection and diagnosis in colonoscopy.

Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field "deep ...

Quality and content analysis of fundus images using deep learning.

Automatic retinal image analysis has remained an important topic of research in the last ten years. ...

Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity.

In 2016, the Frank R. Lautenberg Chemical Safety for the 21st Century Act became the first US legisl...

Machine learning meets partner matching: Predicting the future relationship quality based on personality traits.

To what extent is it possible to use machine learning to predict the outcome of a relationship, base...

LSTM Model for Prediction of Heart Failure in Big Data.

The combination of big data and deep learning is a world-shattering technology that can make a great...

Detecting Hypoglycemia Incidents Reported in Patients' Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance.

BACKGROUND: Improper dosing of medications such as insulin can cause hypoglycemic episodes, which ma...

Drivers for the development of an Animal Health Surveillance Ontology (AHSO).

Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to ...

Radiation Therapy Quality Assurance Tasks and Tools: The Many Roles of Machine Learning.

The recent explosion in machine learning efforts in the quality assurance (QA) space has produced a ...

Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description.

PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is k...

Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System.

A multiuser detection (MUD) algorithm based on deep learning network is proposed for the satellite m...

The present and future of deep learning in radiology.

The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the ...

Quality of Life in Adolescent Boys with Idiopathic Short Stature: Positive Impact of Growth Hormone and Aromatase Inhibitors.

BACKGROUND: The combination of growth hormone (GH) and aromatase inhibitors (AI) improves linear gro...

Streamlining Quality Review of Mass Spectrometry Data in the Clinical Laboratory by Use of Machine Learning.

CONTEXT.—: Turnaround time and productivity of clinical mass spectrometric (MS) testing are hampered...

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