Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural network model for classification (multilayer perceptron-MLP) and another risk group assignment (self-organizing map-SOM) for PTB in hospitalized patients in...
Coreference resolution is one of the fundamental and challenging tasks in natural language processing. Resolving coreference successfully can have a significant positive effect on downstream natural language processing tasks, such as information extraction and question answering. The importance of coreference resolution for biomedical text analysis applications has increasingly been acknowledged. ...
OBJECTIVES: Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non-medical reasons including the procurement of home...
The term 'synergy' - from the Greek synergia - means 'working together'. The concept of multiple elements working together towards a common goal has b...
Acute coronary syndrome (ACS) is a serious condition arising from an imbalance of supply and demand to meet myocardium's metabolic needs. Patients typ...
OBJECTIVE: To develop a mathematical model of predicting mortality based on the admission characteristics of 6220 burn cases.
We report the case of a patient with fulminant myocarditis caused by influenza A virus, who presented with acute-onset heart failure and cardiogenic s...
canSAR (http://cansar.icr.ac.uk) is a publicly available, multidisciplinary, cancer-focused knowledgebase developed to support cancer translational re...
We study machine learning techniques to automatically identify limb abnormalities (including fractures, dislocations and foreign bodies) from radiolog...
Analysis of data from Electronic Health Records (EHR) presents unique challenges, in particular regarding nonuniform temporal resolution of longitudin...
The aim of this study is to compare the effect of liver enucleation with resection of a giant hemangioma proximal to the hepatic portal vascular struc...
A 60-year-old man initially presented with pain in the right upper quadrant in October 2010. A computed tomography (CT) scan of the abdomen pelvis com...
INTRODUCTION: Gastric cancer represents a great challenge for healthcare providers and requires a multidisciplinary treatment approach in which surger...
This study aims at the development of an artificial neural network-based model for the estimation of weekly sediment load at a catchment located in no...
INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned ...
At our institute, a non-suturing method for closure of the umbilical epidermis has been used in laparoscopic colorectal resection to prevent umbilical...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexi...
End-user development is a new trend to provide tailored services to dynamic environments such as hospitals. These services not only facilitate daily w...
Robotic system has been increasingly used in pancreatectomy. However, the effectiveness of this method remains uncertain. This study compared the surg...
Recent literature suggests that elevated vancomycin trough concentrations (>20 µg/mL) may be associated with an increased risk of nephrotoxicity and ...