AIMC Topic: Patient Discharge

Clear Filters Showing 111 to 120 of 177 articles

Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BioMed research international Apr 15, 2019
BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive ...
Models, Biological Patient Readmission ROC Curve Support Vector Machine Predictive Value of Tests Patient Discharge Humans Machine Learning Female Risk Factors Male Child
View on PubMed DOI

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

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Apr 2, 2019
PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to be placed in a rehabilitation facility or skilled nursing facility (RF/SNF). An accurate preoperative prediction of who would need a RF/SNF place aft...
Middle Aged Predictive Value of Tests Postoperative Care Elective Surgical Procedures Algorithms Female Aged Male Quality Improvement Patient Transfer Rehabilitation Centers Humans Skilled Nursing Facilities Neural Networks, Computer Lumbar Vertebrae Machine Learning Patient Discharge Spinal Stenosis Netherlands
View on PubMed DOI

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

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 27, 2019
PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge placement in patients undergoing elective surgery for degenerative spondylolisthesis.
Humans Machine Learning Male Middle Aged Models, Statistical Patient Discharge Algorithms Databases, Factual Female Aged Spondylolisthesis
View on PubMed DOI

Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

BMJ open Mar 7, 2019
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.
England Length of Stay Patient Discharge Critical Care Patient Readmission Humans Decision Support Techniques Machine Learning Electronic Health Records Algorithms Female Male
View on PubMed DOI

Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume.

JAMA network open Nov 2, 2018
IMPORTANCE: Forecasting the volume of hospital discharges has important implications for resource allocation and represents an opportunity to improve patient safety at periods of elevated risk.
Hospitals New England Humans Models, Statistical Machine Learning Patient Discharge Forecasting Academic Medical Centers
View on PubMed DOI

An improved support vector machine-based diabetic readmission prediction.

Computer methods and programs in biomedicine Oct 12, 2018
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a large proportion of total hospital payment. Hospital-specific readmission rate becomes a critical issue around the world. Quantification and early ident...
Patient Discharge Patient Readmission Logistic Models Support Vector Machine Decision Trees Bayes Theorem Male Humans Neural Networks, Computer Risk Assessment Algorithms Decision Support Systems, Clinical Female Reproducibility of Results Risk Factors Sensitivity and Specificity
View on PubMed DOI

Predicting hospital admission at emergency department triage using machine learning.

PloS one Jul 20, 2018
OBJECTIVE: To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage.
Male Humans Emergency Service, Hospital Middle Aged Machine Learning Patient Discharge Models, Statistical Female Patient Admission Triage Adult
View on PubMed DOI

Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.

Applied clinical informatics May 9, 2018
BACKGROUND: Often unrecognized by providers, adverse drug reactions (ADRs) diminish patients' quality of life, cause preventable admissions and emergency department visits, and increase health care costs.
Patient Admission Natural Language Processing Patient Discharge Drug-Related Side Effects and Adverse Reactions Humans Medical Informatics Health Personnel Surveys and Questionnaires
View on PubMed DOI

Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.

International journal of medical informatics Jan 4, 2018
OBJECTIVES: Prediction of activities of daily living (ADL) is crucial for optimized care of post-stroke patients. However, no suitably-validated and practical models are currently available in clinical practice.
Aged Male Middle Aged Taiwan Patient Discharge Stroke Activities of Daily Living Stroke Rehabilitation Machine Learning Algorithms Decision Making, Computer-Assisted Retrospective Studies Humans Female
View on PubMed DOI

Mild troponin elevation in patients admitted to the emergency department with atrial fibrillation: 30-day post-discharge prognostic significance.

Internal and emergency medicine Dec 23, 2017
Patients with atrial fibrillation (AF) often undergo troponin (Tn) testing in the emergency department (ED), but the clinical significance of mildly elevated values remains unclear. We evaluated short-term 30-day post-discharge outcomes in AF patient...
Emergency Service, Hospital Humans Patient Discharge Atrial Fibrillation Biomarkers Male Female Prognosis Troponin I Middle Aged Risk Factors Aged Risk Assessment Aged, 80 and over Time Factors
View on PubMed DOI
Popular Topics
Recent Journals