Latest AI and machine learning research in intensivists for healthcare professionals.
Electronic medical records (EMRs) are capturing increasing amounts of data per patient. For clinicia...
Sepsis is one of the leading causes of death in the United States. Early administration of treatment...
BACKGROUND: Predicting drug side effects is an important topic in the drug discovery. Although sever...
Robotic mapping and localization systems typically operate at either one fixed spatial scale, or ove...
There has been extensive research in recent years on the multi-scale nature of hippocampal place cel...
Target search in 3-D underwater environments is a challenge in multiple autonomous underwater vehicl...
OBJECTIVE: Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules proc...
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It do...
For the first time, the performance of a generalised artificial neural network (ANN) approach for th...
OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated...
Automated assignment of protein function has received considerable attention in recent years for gen...
Feature selection is an important data-preprocessing technique in classification problems such as bi...
BACKGROUND: Twenty-five to 40% of patients pass a spontaneous breathing trial (SBT) but fail to wean...
Membrane proteins play important roles in various biological processes within organisms. Predicting ...
BACKGROUND: It has become a very important and full of challenge task to predict bacterial protein s...
In this paper, a novel hierarchical multi-class SVM (H-MSVM) with extreme learning machine (ELM) as ...
The application of multi-objective optimisation to evolutionary robotics is receiving increasing att...
The acceleration of solid dosage form product development can be facilitated by the inclusion of exc...
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the a...
The classification of abnormalities in ultrasound images is the monitoring tool of fluid to air pass...
We are motivated by the issue of classifying diseases of chronically ill patients to assist physicia...