Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND: Although anaemia is a common complication of advanced chronic kidney disease (CKD), know...
Development of children's cognitive and perceptual skills depends heavily on object exploration and ...
Recent studies on the theoretical performance of latency and rate code in single neurons have reveal...
Monitoring water quality changes in lakes, reservoirs, estuaries, and coastal waters is critical in ...
In the past decades, bioassays and whole-organism bioassay have become important tools not only in c...
For the healthcare sector, it is critical to exploit the vast amount of textual health-related infor...
Recently, online health expert question-answering (HQA) services (systems) have attracted more and m...
Forced spirometry testing is gradually becoming available across different healthcare tiers includin...
The aim of this work was to develop computational intelligence models based on neural networks (NN),...
BACKGROUND: This prospective observational study elucidated the usefulness of hormonal therapy for l...
In this paper, several extreme learning machine (ELM) models, including standard extreme learning ma...
A low-cost robotic interface was used to assess the visuo-motor performance of patients with Alzheim...
BACKGROUND: Knowledge-based planning (KBP) is a promising technique that can improve plan quality an...
Machine learning applications for personalized medicine are highly dependent on access to sufficient...
Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significa...
Bruch's membrane opening-minimum rim width (BMO-MRW) is a recently proposed structural parameter whi...
BACKGROUND AND AIMS: Natural language processing (NLP) is an information retrieval technique that ha...
The regulatory agencies should fulfil the data gap in toxicity for new chemicals including nano-size...
Clinical codes are used for public reporting purposes, are fundamental to determining public financi...
Binary classification problems are ubiquitous in health and social sciences. In many cases, one wish...
OBJECTIVES: In older adults, traditional metrics derived from polysomnography (PSG) are not well cor...