AIMC Topic: Patient Discharge

Clear Filters Showing 81 to 90 of 177 articles

Machine learning based early mortality prediction in the emergency department.

International journal of medical informatics Sep 8, 2021
BACKGROUND: It is a great challenge for emergency physicians to early detect the patient's deterioration and prevent unexpected death through a large amount of clinical data, which requires sufficient experience and keen insight.
Child Emergency Service, Hospital Patient Discharge Patient Admission Humans Machine Learning Electronic Health Records Female
View on PubMed DOI

Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals.

International journal of environmental research and public health Aug 17, 2021
Singapore is one of the first known countries to implement an individual-centric discharge process across all public hospitals to manage frequent admissions-a perennial challenge for public healthcare, especially in an aging population. Specifically,...
Length of Stay Artificial Intelligence Humans Singapore Patient Discharge Hospitalization Hospitals, Public Aged
View on PubMed DOI

Daily estimates of individual discharge likelihood with deep learning natural language processing in general medicine: a prospective and external validation study.

Internal and emergency medicine Jul 31, 2021
Machine learning, in particular deep learning, may be able to assist in the prediction of the length of stay and timing of discharge for individual patients. Artificial neural networks applied to medical text have previously shown promise in this are...
Humans Machine Learning Algorithms Patient Discharge Prospective Studies Deep Learning Natural Language Processing
View on PubMed DOI

Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Humans Decision Support Techniques Databases, Factual Decision Trees Discriminant Analysis Stroke Patient Discharge Aged, 80 and over Prognosis Supervised Machine Learning Male Female Stroke Rehabilitation Middle Aged Aged Support Vector Machine
View on PubMed DOI

Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 21, 2021
BACKGROUND AND PURPOSE: Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated a...
Mobility Limitation Stroke Rehabilitation Wheelchairs Self-Help Devices Treatment Outcome Environment Design Disability Evaluation Patient Discharge Stroke Activities of Daily Living Housing Female Aged Humans Aged, 80 and over Male Decision Support Techniques Machine Learning Databases, Factual Clinical Decision-Making
View on PubMed DOI

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science May 17, 2021
Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains. However, these architectures have been limited in their ability to support complex prediction problems using insurance claims data, su...
Humans Hospitals Neural Networks, Computer Patient Discharge Machine Learning
View on PubMed

The characteristics and evolution of pulmonary fibrosis in COVID-19 patients as assessed by AI-assisted chest HRCT.

PloS one Mar 23, 2021
The characteristics and evolution of pulmonary fibrosis in patients with coronavirus disease 2019 (COVID-19) have not been adequately studied. AI-assisted chest high-resolution computed tomography (HRCT) was used to investigate the proportion of COVI...
Female Humans SARS-CoV-2 Artificial Intelligence Risk Factors Pulmonary Fibrosis Male COVID-19 Patient Discharge Middle Aged Interleukin-6 Thorax Severity of Illness Index Tomography, X-Ray Computed Image Processing, Computer-Assisted
View on PubMed DOI

Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Feb 3, 2021
BACKGROUND AND PURPOSE: The importance of environmental factors for stroke patients to achieve home discharge was not scientifically proven. There are limited studies on the application of the decision tree algorithm with various functional and envir...
Machine Learning Decision Support Techniques Databases, Factual Female Aged Aged, 80 and over Male Functional Status Environment Decision Trees Patient Discharge Humans Stroke Rehabilitation Recovery of Function Stroke Predictive Value of Tests Motor Activity Middle Aged Disability Evaluation Time Factors Treatment Outcome
View on PubMed DOI

Multi-Institutional Assessment of Routine Same Day Discharge Surgery for Robot-Assisted Radical Prostatectomy. Letter.

The Journal of urology Jan 22, 2021
Patient Discharge Ambulatory Surgical Procedures Prostatectomy Male Robotics Prostate Humans
View on PubMed DOI

Response to: Williams, Kotamarti, and Schulman re: "Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?" by Dobbs et al.

Journal of endourology Dec 22, 2020
Humans Prostate Male Patient Discharge Robotics Outpatients Prostatectomy
View on PubMed DOI
Popular Topics
Recent Journals