Latest AI and machine learning research in critical care for healthcare professionals.
To improve the prediction accuracy of respiratory signals using adaptive boosting and multi-layer pe...
PURPOSE: The potential of service robots for seniors is given increasing attention as the ageing pop...
Automated methods for prostate cancer (PCa) diagnosis in multi-parametric magnetic resonance imaging...
Knowledge of subcellular locations of proteins is crucially important for in-depth understanding the...
Today, China is facing a very serious issue of Air Pollution due to its dreadful impact on the human...
BACKGROUND: Despite substantial improvements in the management of multiple myeloma, renal failure re...
The medical diagnostic process may be supported by computational classification techniques. In many ...
Unexplained hypotension in the intensive care unit is commonly attributed to volume depletion, cardi...
Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic bu...
Automated breast cancer multi-classification from histopathological images plays a key role in compu...
BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to ...
As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even dea...
BACKGROUND: Chronic descending thoracic aortic dissection (CDTAD) following surgical repair of ascen...
With the rapid development of modern medical imaging technology, medical image classification has be...
Machine learning applications for personalized medicine are highly dependent on access to sufficient...
Drug repositioning has been a key problem in drug development, and heterogeneous data sources are us...
Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect...
BACKGROUND: The monitoring of the respiratory rate is vital in several medical conditions, including...
BACKGROUND AND OBJECTIVE: Feature reduction is an essential stage in computer aided breast cancer di...
Imbalanced classification is related to those problems that have an uneven distribution among classe...
OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign ...