AIMC Topic: Length of Stay

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The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty.

Journal of shoulder and elbow surgery Jun 9, 2020
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, specifically an artificial neural network (ANN), to predict length of stay (LOS), discharge disposition, and inpatient charges for primary anatomic total (...
Hemiarthroplasty Shoulder Injuries Patient Discharge Osteoarthritis Hospital Costs Hospital Charges Arthroplasty, Replacement, Shoulder Databases, Factual Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Postoperative Complications Length of Stay ROC Curve Models, Statistical Humans Neural Networks, Computer Machine Learning Forecasting
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Deep Learning for Improved Risk Prediction in Surgical Outcomes.

Scientific reports Jun 9, 2020
The Norwood surgical procedure restores functional systemic circulation in neonatal patients with single ventricle congenital heart defects, but this complex procedure carries a high mortality rate. In this study we address the need to provide an acc...
Humans Neural Networks, Computer Infant, Newborn Infant Markov Chains Risk Monte Carlo Method Decision Making, Organizational Hypoplastic Left Heart Syndrome Norwood Procedures Deep Learning Length of Stay Hospital Mortality Models, Statistical Heart Ventricles
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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.
Length of Stay Adolescent Models, Statistical Decision Trees Esophagectomy Patient Readmission Aged, 80 and over Young Adult Humans Adult Machine Learning Male Retrospective Studies Female Aged Middle Aged
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Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.

Lung May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Humans Machine Learning Intensive Care Units Female Aged Comorbidity Pulmonary Embolism Adult Fibrin Fibrinogen Degradation Products Case-Control Studies Creatinine Computed Tomography Angiography Length of Stay Asthma Hospitals, University Clinical Decision Rules Body Mass Index Male Heart Rate Oxygen Middle Aged Natriuretic Peptide, Brain International Normalized Ratio Disease Progression
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Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach.

BMC psychiatry May 6, 2020
BACKGROUND: Prolonged forensic psychiatric hospitalizations have raised ethical, economic, and clinical concerns. Due to the confounded nature of factors affecting length of stay of psychiatric offender patients, prior research has called for the app...
Humans Schizophrenia Criminals Machine Learning Female Retrospective Studies Homicide Adult Forensic Psychiatry Male Length of Stay Switzerland
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Aged Aged, 80 and over Young Adult Adult Male Middle Aged Databases, Factual Retrospective Studies Female Infant, Newborn Risk Factors Child, Preschool Child Hospital Mortality United States Inpatients Data Mining Risk Assessment Infant Length of Stay Adolescent Time Factors Humans Machine Learning Uterine Artery Embolization Radiography, Interventional Image-Guided Biopsy Portasystemic Shunt, Transjugular Intrahepatic Iatrogenic Disease Pneumothorax
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Combined robotic approach and enhanced recovery after surgery pathway for optimization of costs in patients undergoing proctectomy.

BJS open Apr 30, 2020
BACKGROUND: Enhanced recovery after surgery (ERAS) pathways are beneficial in proctocolectomy, but their impact on robotic low rectal proctectomy is not fully investigated. This study assessed the impact of an ERAS pathway on the outcomes and cost of...
Retrospective Studies Rectal Neoplasms Female France Humans Aged Male Costs and Cost Analysis Aged, 80 and over Middle Aged Enhanced Recovery After Surgery Adult Length of Stay Proctectomy Robotics Laparoscopy Tertiary Care Centers
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Prediction of Postoperative Length of Hospital Stay Based on Differences in Nursing Narratives in Elderly Patients with Epithelial Ovarian Cancer.

Methods of information in medicine Apr 29, 2020
OBJECTIVES:  The current study sought to evaluate whether nursing narratives can be used to predict postoperative length of hospital stay (LOS) following curative surgery for ovarian cancer.
Humans Length of Stay Neural Networks, Computer Ovarian Neoplasms Female Postoperative Care Aged Carcinoma, Ovarian Epithelial Case-Control Studies
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An Integrated Approach of Machine Learning and Systems Thinking for Waiting Time Prediction in an Emergency Department.

International journal of medical informatics Apr 12, 2020
OBJECTIVE: The objective of this study is to apply machine learning algorithms for real-time and personalized waiting time prediction in emergency departments. We also aim to introduce the concept of systems thinking to enhance the performance of the...
Neural Networks, Computer Machine Learning Algorithms Female Male Middle Aged Length of Stay Support Vector Machine Emergency Service, Hospital Humans
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Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients.

The American journal of emergency medicine Mar 10, 2020
BACKGROUND: Low-acuity outpatients constitute the majority of emergency department (ED) patients, and these patients often experience an unpredictable length of stay (LOS). Effective LOS prediction might improve the quality of ED care and reduce ED c...
Humans Emergency Service, Hospital Retrospective Studies Female Male Patient Acuity Aged Middle Aged Vital Signs Adult Length of Stay Outpatients Taiwan Crowding Natural Language Processing Clinical Decision Rules
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