Hospital-Based Medicine

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

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Prediction of 1-Year Mortality from Acute Myocardial Infarction Using Machine Learning.

Risk stratification at hospital discharge could be instrumental in guiding postdischarge care. In th...

Indoor location identification of patients for directing virtual care: An AI approach using machine learning and knowledge-based methods.

In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal...

Predictors of emergency department opioid administration and prescribing: A machine learning approach.

INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acut...

Robotic Versus Open Ureteroneocystostomy: Is There a Robotic Benefit?

We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...

Early triage of critically ill COVID-19 patients using deep learning.

The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical il...

Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study.

We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to com...

Machine learning-based prediction of transfusion.

BACKGROUND: The ability to predict transfusions arising during hospital admission might enable econo...

Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study.

INTRODUCTION: Studies examining the factors linked to survival after out of hospital cardiac arrest ...

Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.

BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assess...

Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population.

Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemi...

Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.

BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a p...

Deep Learning for Improved Risk Prediction in Surgical Outcomes.

The Norwood surgical procedure restores functional systemic circulation in neonatal patients with si...

Modest Clostridiodes difficile infection prediction using machine learning models in a tertiary care hospital.

Previous studies have shown promising results of machine learning (ML) models for predicting health ...

Using machine learning to predict early readmission following esophagectomy.

OBJECTIVE: To establish a machine learning (ML)-based prediction model for readmission within 30 day...

Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China.

The efficiency of disease prevention and medical care service necessitated the prediction of inciden...

Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach.

BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significan...

How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach.

BACKGROUND: Patient experience surveys often include free-text responses. Analysis of these response...

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