Health Policy

Deep convolutional networks for quality assessment of protein folds.

MOTIVATION: The computational prediction of a protein structure from its sequence generally relies o...

Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders.

OBJECTIVEIf not anticipated and prearranged, hospital stay can be prolonged while the patient awaits...

[The urgent need for a new ecosystem in healthcare].

The key performance indicators in healthcare illustrate that the system we run nowadays is no longer...

New robots - cost, connectivity and artificial intelligence.

A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.

This paper presents the development and real-time testing of an automated expert diagnostic teleheal...

The economic cost of robotic rehabilitation for adult stroke patients: a systematic review protocol.

The objective of this review is to identify the best available evidence on the economic cost of robo...

Cost function network-based design of protein-protein interactions: predicting changes in binding affinity.

MOTIVATION: Accurate and economic methods to predict change in protein binding free energy upon muta...

Implementation of Enterprise Imaging Strategy at a Chinese Tertiary Hospital.

Medical images have become increasingly important in clinical practice and medical research, and the...

A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection.

A peripherally inserted central catheter (PICC) is a thin catheter that is inserted via arm veins an...

Fault-Tolerant Sensor Detection of sEMG signals: Quality Analysis Using a Two-Class Support Vector Machine.

The capacity to identify the contamination in surface electromyography (sEMG) signals is necessary f...

Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning.

A number of image-processing problems can be formulated as optimization problems. The objective func...

The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning.

INTRODUCTION: 3D-printed anatomical models play an important role in medical and research settings. ...

Using Unsupervised Machine Learning to Identify Subgroups Among Home Health Patients With Heart Failure Using Telehealth.

This study explored the use of unsupervised machine learning to identify subgroups of patients with ...

Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10-AM and ACHI.

Clinical coding is done using ICD-10-AM (International Classification of Diseases, version 10, Austr...

Matching Ontologies to HL7 FHIR Towards Their Syntactic and Semantic Similarity.

Current medical systems need to be able to communicate complex and detailed medical data securely an...

Effects of robot assistive upper extremity rehabilitation on motor and cognitive recovery, the quality of life, and activities of daily living in stroke patients.

OBJECTIVE: To evaluate the effects of robotic rehabilitation on upper extremity functions, cognitive...

Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality.

Despite great advances in hearing-aid technology, users still experience problems with noise in wind...

YummyData: providing high-quality open life science data.

Many life science datasets are now available via Linked Data technologies, meaning that they are rep...

An Automated Technique to Construct a Knowledge Base of Traditional Chinese Herbal Medicine for Cancers: An Exploratory Study for Breast Cancer.

Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited ...

Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler.

Robust high-content screening of visual cellular phenotypes has been enabled by automated microscopy...

OLS Client and OLS Dialog: Open Source Tools to Annotate Public Omics Datasets.

The availability of user-friendly software to annotate biological datasets and experimental details ...