Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Implementation of Enterprise Imaging Strategy at a Chinese Tertiary Hospital.

Medical images have become increasingly important in clinical practice and medical research, and the...

Evaluating ICU Clinical Severity Scoring Systems and Machine Learning Applications: APACHE IV/IVa Case Study.

Clinical scoring systems have been developed for many specific applications, yet they remain underut...

Predict In-Hospital Code Blue Events using Monitor Alarms through Deep Learning Approach.

Bedside monitors in hospital intensive care units (ICUs) are known to produce excessive false alarms...

Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted t...

Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve p...

The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record d...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to c...

An intelligent algorithm for optimizing emergency department job and patient satisfaction.

Purpose Resilience engineering, job satisfaction and patient satisfaction were evaluated and analyze...

Barriers to staff reporting adverse incidents in NHS hospitals.

Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), ...

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 soc...

Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients.

OBJECTIVES: Risk adjustment algorithms for ICU mortality are necessary for measuring and improving I...

[Technical advancement in surgical treatment of portal hypertension].

Recently, there have been many developments and improvements in portal hypertension surgery, but the...

[Application of support vector machine in predicting in-hospital mortality risk of patients with acute kidney injury in ICU].

OBJECTIVE: To construct an in-hospital mortality prediction model for patients with acute kidney inj...

[Evaluation of the lateral flow Aspergillus assay for the diagnosis of invasive aspergillosis, experience in a university hospital].

BACKGROUND: The incidence of invasive aspergillosis is increasing. Its diagnosis is based on clinica...

AI Tackles Hospital Infections: Machine Learning Is Helping Clinicians.

For Ashley Zappia (Figure 1), getting her hands dirty was part of her job. Even though she always tr...

Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Unplanned hospital readmissions are a burden to the healthcare system and to the patients. To lower ...

Prediction of Readmissions in the German DRG System Based on ยง21 Datasets.

Hospital readmissions receive increasing interest, since they are burdensome for patients and costly...

Can AI Truly Transform Health Care?: A Recent IEEE Pulse on Stage Forum Offers Some Perspective.

As scholars have predicted and researchers have now shown, we are entering an age of global artifici...

On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data,...

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