Public Health & Policy

Health Policy

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

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Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.

Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healt...

Imaging, Health Record, and Artificial Intelligence: Hype or Hope?

PURPOSE OF REVIEW: The review is focused on "digital health", which means advanced analytics based o...

Use of ultraviolet-visible spectrophotometry associated with artificial neural networks as an alternative for determining the water quality index.

The water quality index (WQI) is an important tool for water resource management and planning. Howev...

High-precision quality assurance of robotic couches with six degrees of freedom.

A robotic couch capable of six degrees of freedom (6-DoF) of motion was introduced for state-of-the-...

Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.

Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states to desir...

Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms.

Increasing the image quality of positron emission tomography (PET) is an essential topic in the PET ...

Bluetooth gas sensing module combined with smartphones for air quality monitoring.

This study addresses the development of a miniaturized (60 × 60 mm) Wireless Sensing Module (WSM) fo...

An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

Healthcare quality is affected by various factors including trust. Patients' trust to healthcare pro...

Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water.

Today, due to the increase in the population, the growth of industry and the variety of chemical com...

A frequency-domain approach to improve ANNs generalization quality via proper initialization.

The ability to train a network without memorizing the input/output data, thereby allowing a good pre...

Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

With increased use of electronic medical records (EMRs), data mining on medical data has great poten...

Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.

Medically complex patients consume a disproportionate amount of care resources in hospitals but stil...

Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation.

An important informatics tool for controlling healthcare costs is accurately predicting the likely f...

Extracting Healthcare Quality Information from Unstructured Data.

Healthcare quality research is a fundamental task that involves assessing treatment patterns and mea...

The Dependence of Machine Learning on Electronic Medical Record Quality.

There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). ...

Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections.

Historical maps are unique sources of retrospective geographical information. Recently, several map ...

Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks.

The aim of the study was to develop predictive models of the ecological status of rivers by using ar...

Assessment of Beer Quality Based on a Robotic Pourer, Computer Vision, and Machine Learning Algorithms Using Commercial Beers.

UNLABELLED: Sensory attributes of beer are directly linked to perceived foam-related parameters and ...

PON-tstab: Protein Variant Stability Predictor. Importance of Training Data Quality.

Several methods have been developed to predict effects of amino acid substitutions on protein stabil...

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