AIMC Topic: Outpatients
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Application of PSO-based LSTM Neural Network for Outpatient Volume Prediction.
Journal of healthcare engineering
Nov 26, 2021
In order to study the construction method of long- and short-term memory neural network model, which is based on particle swarm optimization algorithm and its application in hospital outpatient management, we have selected historical data of outpatie...
Characterising the nationwide burden and predictors of unkept outpatient appointments in the National Health Service in England: A cohort study using a machine learning approach.
PLoS medicine
Oct 12, 2021
BACKGROUND: Unkept outpatient hospital appointments cost the National Health Service £1 billion each year. Given the associated costs and morbidity of unkept appointments, this is an issue requiring urgent attention. We aimed to determine rates of un...
Predicting cognitive impairment in outpatients with epilepsy using machine learning techniques.
Scientific reports
Oct 8, 2021
Many studies report predictions for cognitive function but there are few predictions in epileptic patients; therefore, we established a workflow to efficiently predict outcomes of both the Mini-Mental State Examination (MMSE) and Montreal Cognitive A...
Machine learning prediction of dropping out of outpatients with alcohol use disorders.
PloS one
Aug 2, 2021
BACKGROUND: Alcohol use disorder (AUD) is a chronic disease with a higher recurrence rate than that of other mental illnesses. Moreover, it requires continuous outpatient treatment for the patient to maintain abstinence. However, with a low probabili...
Author Reply : Outpatient Extraperitoneal Single-port Robotic Radical Prostatectomy.
Urology
Feb 26, 2021
Re: Wilson et al. Outpatient Extraperitoneal Single-Port Robotic Radical Prostatectomy. Urology 2020; 144: 142-146.
Urology
Feb 16, 2021
Leveraging Deep Learning to Improve Safety of Outpatient Hemodialysis.
Clinical journal of the American Society of Nephrology : CJASN
Feb 11, 2021
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
Nomograms for Automated Body Composition Analysis: A Crucial Step for Routine Clinical Implementation.
Radiology
Nov 24, 2020
Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.
Radiology
Nov 24, 2020
Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale use. Thus, population-wide distributions of BC remain uncertain. Purpose To demon...
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