Latest AI and machine learning research in hospitalists for healthcare professionals.
There is increasing interest in gait training devices to improve walking ability in people following...
We report 18 cases of colorectalcancer in patients aged over 90 years who received surgicaltreatment...
Due to various etiologies and pathogenesis of kidney diseases, an invasive procedure called renal bi...
We applied an open source natural language processing (NLP) system "NimbleMiner" to identify clinica...
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have rec...
The objective of this study was to design and develop a 30-day risk of hospital readmission predicti...
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 ...
A diverse universe of statistical models in the literature aim to help hospitals understand the risk...
Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for...
To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequent...
In February 2011, a male patient in his 60's underwent a low anterior resection and lateral lymph no...
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 ...
Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We develop...
Ischemia reperfusion injury (IRI) is one of the main causes of delayed graft function (DGF) in decea...
The antiphospholipid antibody syndrome is defined by the presence of antiphospholipid antibodies in ...