Latest AI and machine learning research in infection control for healthcare professionals.
OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predi...
In hospital management, health technology assessment techniques are being increasingly developed. Th...
In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the gener...
OBJECTIVES: This study sought to develop and compare an array of machine learning methods to predict...
The use of ImageNet pre-trained networks is becoming widespread in the medical imaging community. It...
Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standar...
This paper introduces a sparse embedding for electronic health record (EHR) data in order to predict...
Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...
Surgical site infections are an important health concern, particularly in low-resource areas, where ...
The objective of this study was to design and develop a 30-day risk of hospital readmission predicti...
BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty....
Robotic assistance presents an opportunity to benefit the lives of many people with physical disabil...
OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal...
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific m...
OBJECTIVES: To evaluate the return on investment (ROI) and quality improvement after implementation ...
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addit...
Electronic Health Records (EHRs) conceal a hidden knowledge that could be mined with data science to...
To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (...
PURPOSE: Patients undergoing radiotherapy (RT) or chemoradiotherapy (CRT) may require emergency depa...
Present study is conducted to investigate the efficacy and safety of application of low-molecular-we...