Hospital-Based Medicine

Infection Control

Latest AI and machine learning research in infection control for healthcare professionals.

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A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predi...

Medical Equipment Replacement Prioritisation: A Comparison Between Linear and Fuzzy System Models.

In hospital management, health technology assessment techniques are being increasingly developed. Th...

Maxwell®: An Unsupervised Learning Approach for 5P Medicine.

In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the gener...

Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.

OBJECTIVES: This study sought to develop and compare an array of machine learning methods to predict...

Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.

The use of ImageNet pre-trained networks is becoming widespread in the medical imaging community. It...

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 standar...

Sparse Embedding for Interpretable Hospital Admission Prediction.

This paper introduces a sparse embedding for electronic health record (EHR) data in order to predict...

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks.

Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...

Application of Machine Learning to Prediction of Surgical Site Infection.

Surgical site infections are an important health concern, particularly in low-resource areas, where ...

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 predicti...

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....

Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing.

Robotic assistance presents an opportunity to benefit the lives of many people with physical disabil...

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

OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal...

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 m...

A centralized automated-dispensing system in a French teaching hospital: return on investment and quality improvement.

OBJECTIVES: To evaluate the return on investment (ROI) and quality improvement after implementation ...

Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model.

Hospitalizations due to respiratory diseases generate financial costs for the Health System in addit...

Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery.

Electronic Health Records (EHRs) conceal a hidden knowledge that could be mined with data science to...

[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 (...

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