AIMC Topic: Patient Readmission

Clear Filters Showing 91 to 100 of 198 articles

Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.

Applied clinical informatics Sep 2, 2020
BACKGROUND: Hospital readmissions are a key quality metric, which has been tied to reimbursement. One strategy to reduce readmissions is to direct resources to patients at the highest risk of readmission. This strategy necessitates a robust predictiv...
Humans Machine Learning Hospitals Time Factors Risk Decision Support Systems, Clinical Patient Readmission Medical Informatics
View on PubMed DOI

Machine learning and readmission: Do we need new methods to solve old problems?

The Journal of thoracic and cardiovascular surgery Aug 28, 2020
Algorithms Patient Readmission Humans Machine Learning
View on PubMed DOI

REPLY: THE STANDARDIZATION AND AUTOMATION OF MACHINE LEARNING FOR BIOMEDICAL DATA.

The Journal of thoracic and cardiovascular surgery Aug 28, 2020
Humans Automation Reference Standards Machine Learning Patient Readmission
View on PubMed DOI

The role of sacubitril/valsartan in the treatment of chronic heart failure with reduced ejection fraction in hypertensive patients with comorbidities: From clinical trials to real-world settings.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Aug 21, 2020
BACKGROUND: Sacubitril/valsartan, the first agent to be approved in a new class of drugs called angiotensin receptor neprilysin inhibitors (ARNIs), has been shown to reduce cardiovascular mortality and morbidity compared to enalapril in outpatient su...
Valsartan Ventricular Dysfunction, Left Aminobutyrates Biphenyl Compounds Severity of Illness Index Humans Clinical Studies as Topic Aged Hypertension Prognosis Male Treatment Outcome Female Stroke Volume Heart Failure Drug Combinations Patient Readmission Chronic Disease
View on PubMed DOI

A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses.

Journal of orthopaedic surgery and research Aug 14, 2020
OBJECTIVE: Emergency department (ED) return visits within 72 h may be a sign of poor quality of care and entail unnecessary use of healthcare resources. In this study, we compare the performance of two leading statistical and machine learning classif...
Female Risk Factors Aged Young Adult Humans Machine Learning Algorithms Time Factors Emergency Service, Hospital Patient Readmission Wounds and Injuries Adult Male Middle Aged
View on PubMed DOI

Research of Epidemic Big Data Based on Improved Deep Convolutional Neural Network.

Computational and mathematical methods in medicine Jul 22, 2020
In recent years, with the acceleration of the aging process and the aggravation of life pressure, the proportion of chronic epidemics has gradually increased. A large amount of medical data will be generated during the hospitalization of diabetics. I...
Patient Readmission Epidemics Deep Learning Big Data Diabetes Mellitus Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Analyzing National Incidences and Predictors of Open Conversion During Minimally Invasive Partial Nephrectomy for cT1 Renal Masses.

Journal of endourology Jun 22, 2020
To analyze predictors of open conversion during minimally invasive partial nephrectomy (MIPN) for cT1 renal masses. The National Cancer Database (NCDB) was investigated for kidney cancer patients who underwent partial nephrectomy (PN) between 2010 ...
Treatment Outcome Robotics Robotic Surgical Procedures Retrospective Studies Male Incidence Patient Readmission Kidney Neoplasms Nephrectomy Humans
View on PubMed DOI

Using machine learning to predict early readmission following esophagectomy.

The Journal of thoracic and cardiovascular surgery May 29, 2020
OBJECTIVE: To establish a machine learning (ML)-based prediction model for readmission within 30 days (early readmission or early readmission) of patients based on their profile at index hospitalization for esophagectomy.
Humans Female Aged Machine Learning Retrospective Studies Adolescent Models, Statistical Male Esophagectomy Aged, 80 and over Young Adult Adult Decision Trees Patient Readmission Middle Aged Length of Stay
View on PubMed DOI

Analysis of Feature Extraction Methods for Prediction of 30-Day Hospital Readmissions.

Methods of information in medicine Apr 29, 2020
OBJECTIVES:  This article aims to determine possible improvements made by feature extraction methods to the machine learning prediction methods for predicting 30-day hospital readmissions.
Humans Machine Learning Databases as Topic Area Under Curve Algorithms Information Storage and Retrieval Patient Readmission Risk Factors
View on PubMed DOI

A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model.

Medical & biological engineering & computing Apr 23, 2020
The objective of this study was to design and develop a predictive model for 30-day risk of hospital readmission using machine learning techniques. The proposed predictive model was then validated with the two most commonly used risk of readmission m...
Middle Aged Adolescent Models, Theoretical Humans Patient Readmission Young Adult Machine Learning Databases, Factual New Zealand Patient Discharge Female Aged Adult Male
View on PubMed DOI
Popular Topics
Recent Journals