Latest AI and machine learning research in infection control for healthcare professionals.
Hospital traditional cost accounting systems have inherent limitations that restrict their usefulnes...
OBJECTIVES: Acute kidney injury (AKI) in hospitalized patients puts them at much higher risk for dev...
Few studies have examined how to identify future readmission of patients with a large number of repe...
IMPORTANCE: Forecasting the volume of hospital discharges has important implications for resource al...
The aim of the present study was to evaluate the association between Bone mineral density in lumber ...
The importance of social components of health has been emphasized both in epidemiology and public he...
BACKGROUND: The complexity of International Prostate Symptom Score (IPSS) as an objective questionna...
BACKGROUND: Telemonitoring of symptoms and physiological signs has been suggested as a means of earl...
The success rate of pre-hospital endotracheal intubation (ETI) by paramedics is lower than physician...
Hospital readmission is one of the critical metrics used for measuring the performance of hospitals....
RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies ...
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition ...
BACKGROUND & OBJECTIVE: is an opportunistic pathogen with high pathogenic and antibiotic-resistance...
BACKGROUND: Proper Health-Care Waste Management (HCWM) and integrated documentation in this sector o...
BACKGROUND: In-hospital cardiac arrest is a major burden to public health, which affects patient saf...
Patient transportation in hospitals faces many challenges, including the limited manpower, work-rela...
BACKGROUND: Nursing notes have not been widely used in prediction models for clinical outcomes, desp...
BACKGROUND: Large amounts of patient data are routinely manually collected in hospitals by using sta...
This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Ram...
Seizure prediction has attracted growing attention as one of the most challenging predictive data an...
With increased use of electronic medical records (EMRs), data mining on medical data has great poten...