Health Policy

A novel method for clinical risk prediction with low-quality data.

In real-world data, predictive models for clinical risks (such as adverse drug reactions, hospital r...

An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering.

Healthcare question answering (HQA) system plays a vital role in encouraging patients to inquire for...

Blind Image Quality Assessment With Active Inference.

Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising idea to de...

Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques.

Software defect prediction (SDP) in the initial period of the software development life cycle (SDLC)...

Evaluation of machine learning algorithms for health and wellness applications: A tutorial.

Research on decision support applications in healthcare, such as those related to diagnosis, predict...

Quality indicators in lactose hydrolyzed milks and soy beverages from Colombia.

Worldwide there is great interest in producing low lactose milk and drinks, such as soy beverages, s...

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.

Recent developments in artificial intelligence have generated increasing interest to deploy automate...

Multi-source Seq2seq guided by knowledge for Chinese healthcare consultation.

Online healthcare consultation offers people a convenient way to consult doctors. In this paper, we ...

Comparison of Patient-reported Health-related Quality of Life Between Open Radical Cystectomy and Robot-assisted Radical Cystectomy with Intracorporeal Urinary Diversion: Interim Analysis of a Randomised Controlled Trial.

BACKGROUND: Open radical cystectomy (ORC) is still considered the reference approach for RC, althoug...

Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance.

PURPOSE: To investigate the effect of data quality and quantity on the performance of deep learning ...

A CLSTM and transfer learning based CFDAMA strategy in satellite communication networks.

With the development of the economy and technology, people's requirement for communication is also i...

A new approach to medical diagnostic decision support.

Data mining is a powerful tool to reduce costs and mitigate errors in the diagnostic analysis and re...

Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild.

Performance of blind image quality assessment (BIQA) models has been significantly boosted by end-to...

seqQscorer: automated quality control of next-generation sequencing data using machine learning.

Controlling quality of next-generation sequencing (NGS) data files is a necessary but complex task. ...

Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools.

The vast amount of data produced by today's medical imaging systems has led medical professionals to...

Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Early identification of patients with life-threatening risks such as delirium is crucial in order to...

Artificial intelligence in health data analysis: The Darwinian evolution theory suggests an extremely simple and zero-cost large-scale screening tool for prediabetes and type 2 diabetes.

AIMS: The effective identification of individuals with early dysglycemia status is key to reduce the...

COVID-19 outbreak and air quality: Analyzing the influence of physical distancing and the resumption of activities in São Paulo municipality.

Day-case catheterless and drainless minimal-access pyeloplasty in adults: A single-center experience of 13 years.

OBJECTIVES: To analyze our practice of drainless and catheterless day-case minimal-access pyeloplast...

Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.

OBJECTIVES: To evaluate image quality and lesion detection capabilities of low-dose (LD) portal veno...

Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning.