Infection Control

A Predictive Model for Determining Patients Not Requiring Prolonged Hospital Length of Stay After Elective Primary Total Hip Arthroplasty.

BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty. Accurately predicting LOS is important to expectantly manage bed utilization and other hospital resources. We aimed to develop a predictive model for determining patients who do not require prolonged LOS.

Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge.

The objective of this study was to design and develop a 30-day risk of hospital readmission predictive model using machine learning techniques. The proposed risk of readmission predictive model was then validated with the two most commonly used risk of readmission models - LACE index and patient at-risk of hospital readmission (PARR). The study cohort consisted of 180,118 admissions with 22565 (12...

Application of Machine Learning to Prediction of Surgical Site Infection.

Surgical site infections are an important health concern, particularly in low-resource areas, where there is poor access to clinical facilities or tra...

Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study.

Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standards of care when patients no longer need hospital f...

Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing.

Robotic assistance presents an opportunity to benefit the lives of many people with physical disabilities, yet accurately sensing the human body and t...

Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.

OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal stenosis (LSS) demonstrate considerable heterogen...

Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised mac...

[A real-world study of paritaprevir/ritonavir-ombitasvir combined with dasabuvir in the treatment of genotype 1b chronic hepatitis C].

To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (OBV/PTV/RTV+DSV) in the treatment of genotype 1b c...

Clinical observation of the efficacy of low-molecular-weight heparin calcium in prophylaxis of the deep venous thrombosis following the gynecological tumor surgery.

Present study is conducted to investigate the efficacy and safety of application of low-molecular-weight heparin calcium in the prophylaxis of deep ve...

Implementation of Enterprise Imaging Strategy at a Chinese Tertiary Hospital.

Medical images have become increasingly important in clinical practice and medical research, and the need to manage images at the hospital level has b...

Arash: A social robot buddy to support children with cancer in a hospital environment.

This article presents the thorough design procedure, specifications, and performance of a mobile social robot friend Arash for educational and therape...

Infection prevention and control challenges of using a therapeutic robot.

This work was part of a National Institute for Health Research participatory action research and practice development study, which focused on the use ...

Percutaneous kyphoplasty versus posterior spinal fixation with vertebroplasty for treatment of Kümmell disease: A case-control study with minimal 2-year follow-up.

This is a retrospective case-control study.The aim of this study was to compare the surgical results of percutaneous kyphoplasty (KP) and posterior sp...

Caspofungin infusion solutions (50 mg/100 mL): chemical stability and antifungal activity against Candida spp.

BACKGROUND: Ready to use caspofungin infusion bags are centrally prepared in the Hospital Pharmacy, University Hospital of Heidelberg, for economic re...

A New Essential Functions Installed DWH in Hospital Information System: Process Mining Techniques and Natural Language Processing.

Several kinds of event log data produced in daily clinical activities have yet to be used for secure and efficient improvement of hospital activities....

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.

Acute myocardial infarction is a major cause of hospitalization and mortality in China, where ST-elevation myocardial infarction (STEMI) is more sever...

Uncovering Hidden Topics in Hong Kong Clinical Research Through Hospital Authority Convention Publications.

Uncovering clinical research trends allows us to understand the direction of healthcare services and is essential for longer-term healthcare planning....

[Spontaneous bacterial peritonitis].

AIM OF STUDY: Spontaneous bacterial peritonitis (SBP) is the most frequent infectious complication of liver cirrhosis with serious consequences. Initi...

A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to cl...

Comparison of aglycon and glycosidic saponin extracts of tuber against spp.

BACKGROUND AND PURPOSE: Candidiasis, an important fungal infection, is considered the fourth most common nosocomial blood stream infection. Nowadays, ...