Latest AI and machine learning research in critical care for healthcare professionals.
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham pr...
BACKGROUND: Medicine is becoming an increasingly data-centred discipline and, beyond classical stati...
The parasite Plasmodium falciparum is the main cause of severe malaria (SM). Despite treatment with ...
The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the pos...
Accurate prediction of survival for cystic fibrosis (CF) patients is instrumental in establishing th...
Multi-view learning (MVL) concentrates on the problem of learning from the data represented by multi...
OBJECTIVE: Utilizing passive radio frequency identification (RFID) tags embedded in knitted smart-ga...
BACKGROUND: There is little information about quality of life (QoL) for patients with end-stage kidn...
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in...
The expert system FLORIDA (Fuzzy Logic Orientated Rule Interpreter for Diagnostic Applications) is e...
Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM...
In asthma and chronic obstructive pulmonary disease, some airways of the tracheobronchial tree can b...
Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, ...
BACKGROUND: The diffusion gradient between ionized calcium (iCa) in the inlet dialysate and blood is...
Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-...
Critical properties and acentric factor are widely used in phase equilibrium calculations but are di...
Environmental sustainability research is dependent on accurate land cover information. Even with the...
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension,...
Sputum sounds are biological signals used to evaluate the condition of sputum deposition in a respir...
This paper proposes a novel methodology for automatic detection and localization of gastrointestinal...
The aim of this study was to evaluate the performance of models predicting in-hospital mortality in ...