Hospital-Based Medicine

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

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Showing 1765-1785 of 9,930 articles
Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

BACKGROUND: Thirty-day hospital readmissions are a quality metric for health care systems. Predictiv...

Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. St...

Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) p...

Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.

AIM: Out-of-hospital cardiac arrest (OHCA) is a major healthcare burden, and prognosis is critical i...

Using machine-learning methods to support health-care professionals in making admission decisions.

BACKGROUND: Large tertiary hospitals usually face long waiting lines; patients who want to receive h...

Laparoscopic pediatric pyeloplasty using the Flexdex® articulating needle driver: step-by-step video.

Ureteropelvic junction (UPJ) stenosis is the most common cause of pathological neonatal hydronephros...

Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to...

Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item simila...

Feature-weighted survival learning machine for COPD failure prediction.

Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmis...

Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge plac...

Chief complaint classification with recurrent neural networks.

Syndromic surveillance detects and monitors individual and population health indicators through sour...

Early experience with Watson for oncology in Korean patients with colorectal cancer.

BACKGROUND: Watson for oncology (WFO) is a cognitive computing system providing decision support. We...

Artificial intelligence in breast imaging.

This article reviews current limitations and future opportunities for the application of computer-ai...

A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) affects nearly 400,000 people each year in the Uni...

Recursive neural networks in hospital bed occupancy forecasting.

BACKGROUND: Efficient planning of hospital bed usage is a necessary condition to minimize the hospit...

The trauma severity model: An ensemble machine learning approach to risk prediction.

Statistical theory indicates that a flexible model can attain a lower generalization error than an i...

Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation.

Medical robotics is poised to transform all aspects of medicine-from surgical intervention to target...

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