Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability an...
INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quic...
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a seri...
BACKGROUND: Value-based and patient-specific care represent 2 critical areas of focus that have yet ...
BACKGROUND: Medicine is becoming an increasingly data-centred discipline and, beyond classical stati...
Hospital readmission is one of the critical metrics used for measuring the performance of hospitals....
OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic ...
The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the pos...
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition ...
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in...
Analyzing patients' health data using machine learning techniques can improve both patient outcomes ...
BACKGROUND & OBJECTIVE: is an opportunistic pathogen with high pathogenic and antibiotic-resistance...
Acidic electrolyzed water (AEW) was used for collards sanitization. In the AEW (pH of 3.6; 230 mg/L ...
Fluid management has a major impact on the duration, severity, and outcome of critically ill childre...
The expert system FLORIDA (Fuzzy Logic Orientated Rule Interpreter for Diagnostic Applications) is e...
BACKGROUND: Heart failure is one of the leading causes of hospitalization in the United States. Adva...
BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can ...
Sequences of events have often been modeled with computational techniques, but typical preprocessing...
In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clini...
Seizure prediction has attracted growing attention as one of the most challenging predictive data an...
Electronic health records have brought valuable improvements to hospital practices by integrating pa...