AIMC Topic: Length of Stay

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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Male Middle Aged Postoperative Complications Comorbidity Length of Stay ROC Curve Humans Forecasting Databases, Factual Female Aged Hematocrit Patient Readmission Smoking Reoperation Serum Albumin Arthroplasty, Replacement, Shoulder Body Mass Index Age Factors Blood Transfusion Operative Time Predictive Value of Tests Supervised Machine Learning
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Waterjet Ablation Therapy for Treating Benign Prostatic Obstruction in Patients with Small- to Medium-size Glands: 12-month Results of the First French Aquablation Clinical Registry.

European urology Jul 5, 2019
BACKGROUND: Aquablation has emerged as a novel ablative therapy combining image guidance and robotics for targeted waterjet adenoma resection.
Middle Aged Prostatic Hyperplasia Humans Postoperative Complications Robotics Aged Length of Stay Male Registries Treatment Outcome France Operative Time Lower Urinary Tract Symptoms Recovery of Function Ablation Techniques
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Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.

The Journal of arthroplasty Jun 20, 2019
BACKGROUND: The objective is to develop and validate an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition before primary total knee arthroplasty (TKA). The secondary objective ...
Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Comorbidity Humans Neural Networks, Computer Algorithms Databases, Factual Female Osteoarthritis, Knee Deep Learning Length of Stay ROC Curve United States Inpatients Arthroplasty, Replacement, Knee
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Artificial Intelligence and Arthroplasty at a Single Institution: Real-World Applications of Machine Learning to Big Data, Value-Based Care, Mobile Health, and Remote Patient Monitoring.

The Journal of arthroplasty Jun 17, 2019
BACKGROUND: Driven by the recent ubiquity of big data and computing power, we established the Machine Learning Arthroplasty Laboratory (MLAL) to examine and apply artificial intelligence (AI) to musculoskeletal medicine.
Humans Artificial Intelligence Machine Learning Length of Stay Big Data Monitoring, Physiologic Registries Analgesics, Opioid Telemedicine Remote Consultation Risk Arthroplasty Orthopedics
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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

The Journal of arthroplasty May 2, 2019
BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition for total hip arthroplasty. The secondary objective was to create...
Length of Stay Cohort Studies ROC Curve United States Inpatients Arthroplasty, Replacement, Hip Preoperative Period Social Class Health Care Costs Osteoarthritis, Hip Fees and Charges Reproducibility of Results Aged Aged, 80 and over Male Comorbidity Humans Deep Learning Databases, Factual Female
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Improving Outcomes Defending Patient Safety: The Learning Journey in Robotic Liver Resections.

BioMed research international Apr 8, 2019
BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the liver have not gained wide acceptance. We decided to analyze the learning curve in the field of robotic liver surgery comparing short-term outcomes b...
Liver Operative Time Robotics Laparoscopy Robotic Surgical Procedures Surgeons Hepatectomy Middle Aged Learning Curve Postoperative Complications Length of Stay Liver Neoplasms Blood Loss, Surgical Humans Patient Safety Retrospective Studies Female Male
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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.
Humans Machine Learning England Algorithms Decision Support Techniques Length of Stay Electronic Health Records Patient Discharge Female Critical Care Male Patient Readmission
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Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.

JAMA network open Mar 1, 2019
IMPORTANCE: Hospital readmissions are associated with patient harm and expense. Ways to prevent hospital readmissions have focused on identifying patients at greatest risk using prediction scores.
Machine Learning Patient Readmission Research Design Maryland Male Prognosis Humans Female Middle Aged Risk Factors Risk Assessment Hospitalization Length of Stay United States Medicare
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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Postoperative Complications Length of Stay Hospital Mortality United States Humans Hypertension Diabetes Mellitus Machine Learning Algorithms Female Databases, Factual Risk Factors Cross-Sectional Studies Renal Insufficiency Male Ankle Fractures Age Factors Middle Aged Medicaid Fracture Fixation, Internal Open Fracture Reduction Lung Diseases Medicare Heart Failure Anemia
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Length of Stay Adolescent Hospital Mortality Longitudinal Studies Decision Making Area Under Curve Probability Critical Care Organ Dysfunction Scores Young Adult Adult Male Humans Middle Aged Databases, Factual Severity of Illness Index Deep Learning Retrospective Studies Critical Illness Intensive Care Units Female Aged
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