Latest AI and machine learning research in hospitalists for healthcare professionals.
We applied an open source natural language processing (NLP) system "NimbleMiner" to identify clinica...
Due to various etiologies and pathogenesis of kidney diseases, an invasive procedure called renal bi...
The objective of this study was to design and develop a 30-day risk of hospital readmission predicti...
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have rec...
OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learni...
The intrinsic relationship between fluid volume and open wound size (%) has not been previously exam...
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to c...
Purpose Resilience engineering, job satisfaction and patient satisfaction were evaluated and analyze...
Mannitol, an osmotic diuretic, has been used to prevent acute kidney injury (AKI). However, studies ...
Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data,...
Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for...
A diverse universe of statistical models in the literature aim to help hospitals understand the risk...
In February 2011, a male patient in his 60's underwent a low anterior resection and lateral lymph no...
To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequent...
An electronic anonymized patient portal analysis using radiographic reports and admission and discha...
To develop predictive computational models forecasting the academic performance of students in the ...
Ischemia reperfusion injury (IRI) is one of the main causes of delayed graft function (DGF) in decea...
Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We develop...
The antiphospholipid antibody syndrome is defined by the presence of antiphospholipid antibodies in ...
The patient was a 53-year-old man who complained of perianal pain. He had a 20-year history of an an...