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Length of Stay

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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.
Infant Length of Stay Adolescent Time Factors Child, Preschool Young Adult Adult Male Middle Aged Risk Assessment Radiography, Interventional Image-Guided Biopsy Portasystemic Shunt, Transjugular Intrahepatic Iatrogenic Disease Pneumothorax Uterine Artery Embolization Child Hospital Mortality United States Inpatients Data Mining Humans Machine Learning Databases, Factual Retrospective Studies Female Infant, Newborn Risk Factors Aged Aged, 80 and over
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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...
Aged Length of Stay Aged, 80 and over Robotics France Laparoscopy Adult Costs and Cost Analysis Tertiary Care Centers Enhanced Recovery After Surgery Male Humans Rectal Neoplasms Proctectomy Middle Aged Retrospective Studies Female
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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...
Emergency Service, Hospital Female Male Middle Aged Length of Stay Humans Support Vector Machine Neural Networks, Computer Machine Learning Algorithms
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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 Retrospective Studies Female Aged Adult Emergency Service, Hospital Patient Acuity Vital Signs Outpatients Crowding Male Middle Aged Length of Stay Taiwan Natural Language Processing Clinical Decision Rules
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Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study.

Internal and emergency medicine Feb 15, 2020
Hospitalization Deep Learning Pilot Projects Length of Stay Natural Language Processing Humans
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Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study.

Internal and emergency medicine Jan 2, 2020
Length of stay (LOS) and discharge destination predictions are key parts of the discharge planning process for general medical hospital inpatients. It is possible that machine learning, using natural language processing, may be able to assist with ac...
Retrospective Studies Natural Language Processing Female Patients' Rooms Humans Male Hospitalization Forecasting Middle Aged Aged Deep Learning Aged, 80 and over Pilot Projects Length of Stay
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Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

Clinical neurology and neurosurgery Dec 20, 2019
OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc spondylectomy (TES) of lumbar spinal metastases.
Plastic Surgery Procedures Prostatic Neoplasms Neurosurgical Procedures Lumbar Vertebrae Retrospective Studies Rectal Neoplasms Spinal Neoplasms Male Female Surgical Wound Infection Lung Neoplasms Spinal Nerve Roots Humans Middle Aged Aged Kidney Neoplasms Blood Loss, Surgical Postoperative Complications Adult Operative Time Low Back Pain Biomechanical Phenomena Length of Stay Cerebrospinal Fluid Leak Metastasectomy Liver Neoplasms Psoas Muscles Pain Measurement
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Emergency Department Capacity Planning: A Recurrent Neural Network and Simulation Approach.

Computational and mathematical methods in medicine Nov 15, 2019
Emergency departments (EDs) play a vital role in the whole healthcare system as they are the first point of care in hospitals for urgent and critically ill patients. Therefore, effective management of hospital's ED is crucial in improving the quality...
Bed Occupancy Emergency Service, Hospital Turkey Climate Hospital Administration Emergency Treatment Algorithms Computer Simulation Reproducibility of Results Length of Stay Time Factors Humans Neural Networks, Computer Machine Learning
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ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.

Intensive care medicine Oct 8, 2019
PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical ventilation (MV) using cluster analysis directed by machine learning.
Humans Physicians Retrospective Studies Intensive Care Units Brazil Length of Stay Nurses Time Factors Hospital Mortality Personnel Staffing and Scheduling Logistic Models Physical Therapists Cluster Analysis Hospital Bed Capacity Unsupervised Machine Learning Odds Ratio Organ Dysfunction Scores
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