Latest AI and machine learning research in intensivists for healthcare professionals.
With the tremendous development of artificial intelligence, many machine learning algorithms have be...
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsi...
Forecasting household waste generation using traditional methods is particularly challenging due to ...
Gait is a characteristic that has been utilized for identifying individuals. As human gait informati...
In this paper, we propose an attention-based multi-task neural network model for text classification...
Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are...
Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G pro...
In this work, a novel data-driven fault diagnostic framework is developed by using hybrid multi-mode...
Translational research of many disease areas requires a longitudinal understanding of disease develo...
Knowing an accurate passengers attendance estimation on each metro car contributes to the safely coo...
Progress of machine learning in critical care has been difficult to track, in part due to absence of...
This study presents a systematic review of artificial intelligence (AI) techniques used in the detec...
To date, many proteins generated by large-scale genome sequencing projects are still uncharacterized...
Continual learning, a widespread ability in people and animals, aims to learn and acquire new knowle...
This study proposes a novel multi-network architecture consisting of a multi-scale convolution neura...
Drug-drug interactions (DDIs) are crucial for public health and patient safety, which has aroused wi...
In this study, we developed a multi-scale Convolutional neural network based Automated hippocampal s...
In this paper, we present an approach for multi-channel lung sound classification, exploiting spectr...
BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care U...
Conventional inclusion criteria used in osteoarthritis clinical trials are not very effective in sel...
Multi-class classification for highly imbalanced data is a challenging task in which multiple issues...