Hospital-Based Medicine

Hospitalists

Latest AI and machine learning research in hospitalists for healthcare professionals.

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Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing Data.

We applied an open source natural language processing (NLP) system "NimbleMiner" to identify clinica...

Renal Biopsy Recommendation Based on Text Understanding.

Due to various etiologies and pathogenesis of kidney diseases, an invasive procedure called renal bi...

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...

Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have rec...

Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit.

OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learni...

Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach.

The intrinsic relationship between fluid volume and open wound size (%) has not been previously exam...

[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...

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,...

Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods.

Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for...

Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions.

A diverse universe of statistical models in the literature aim to help hospitals understand the risk...

[A Case of Infectious Pseudoaneurysm That Developed after Surgery for Local Recurrence of Rectal Cancer].

In February 2011, a male patient in his 60's underwent a low anterior resection and lateral lymph no...

Machine Learning for Predicting Outcomes in Trauma.

To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequent...

Community-Acquired Pneumonia Case Validation in an Anonymized Electronic Medical Record-Linked Expert System.

An electronic anonymized patient portal analysis using radiographic reports and admission and discha...

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

To develop predictive computational models forecasting the academic performance of students in the ...

From Patient Discharge Summaries to an Ontology for Psychiatry.

Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We develop...

Antiphospholipid Syndrome with Antiβ2glicoprotein-1 Antibodies as the Cause of Recurrent Tibial Vein Thrombosis in SAPHO syndrome.

The antiphospholipid antibody syndrome is defined by the presence of antiphospholipid antibodies in ...

[A Case of Carcinoma Associated with an Anal Fistula Repaired Using a Hatchet Flap after Neoadjuvant Chemoradiotherapy].

The patient was a 53-year-old man who complained of perianal pain. He had a 20-year history of an an...

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