AIMC Topic: Patient Readmission

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Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network.

Surgical endoscopy Sep 30, 2019
BACKGROUND: Multiple patient factors may convey increased risk of 30-day morbidity and mortality after laparoscopic vertical sleeve gastrectomy (LVSG). Assessing the likelihood of short-term morbidity is useful for both the bariatric surgeon and pati...
Middle Aged Cohort Studies Computational Biology Obesity Laparoscopy Databases, Factual Female Adult Male Humans Gastrectomy Neural Networks, Computer Morbidity Patient Readmission Reoperation
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Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

IEEE journal of biomedical and health informatics Sep 2, 2019
Hospital readmission is among the most critical issues in the healthcare system due to its high prevalence and cost. The improvement effort necessitates reliable prediction models which can identify high-risk patients effectively and enable healthcar...
Machine Learning Algorithms Hospitalization Patient Readmission Models, Educational Humans
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Perioperative intelligence: applications of artificial intelligence in perioperative medicine.

Journal of clinical monitoring and computing Aug 29, 2019
Perioperative Medicine Patient Safety Postoperative Complications Big Data Decision Support Systems, Clinical Patient Readmission Medical Informatics Risk Perioperative Period Perioperative Care Humans Artificial Intelligence Machine Learning Algorithms
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Hospital readmissions after limited vs. extended lymph node dissection during open and robot-assisted radical prostatectomy.

Urologic oncology Aug 21, 2019
PURPOSE: Differences exist concerning when and how to perform lymph node dissection (LND) during radical prostatectomy due to lack of high-grade evidence to its safety and efficacy. We aimed to compare readmission rates between limited and extended L...
Adult Male Middle Aged Lymph Node Excision Robotics Humans Prospective Studies Aged Prostatic Neoplasms Robotic Surgical Procedures Patient Readmission Prostatectomy
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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.
Forecasting Databases, Factual Female Aged Male Humans Predictive Value of Tests Supervised Machine Learning Hematocrit Patient Readmission Smoking ROC Curve Reoperation Body Mass Index Serum Albumin Age Factors Arthroplasty, Replacement, Shoulder Blood Transfusion Operative Time Middle Aged Postoperative Complications Comorbidity Length of Stay
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Readmission prediction using deep learning on electronic health records.

Journal of biomedical informatics Jul 24, 2019
Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose significant health risks and escalate care cost. In order to reduce readmissions and curb the cost of care, it is important to initiate targeted inter...
Cost Savings Patient Discharge Heart Failure Patient Readmission Expert Systems Female Sweden Risk Factors Aged Aged, 80 and over Male Deep Learning Time Factors Computational Biology Models, Statistical Humans Neural Networks, Computer Electronic Health Records
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Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.

JACC. Cardiovascular interventions Jun 26, 2019
OBJECTIVES: This study sought to determine whether machine learning can be used to better identify patients at risk for death or congestive heart failure (CHF) rehospitalization after percutaneous coronary intervention (PCI).
Machine Learning Minnesota Decision Support Techniques Percutaneous Coronary Intervention Clinical Decision-Making Time Factors Female Coronary Artery Disease Risk Factors Hospital Mortality Reproducibility of Results Heart Failure Aged Treatment Outcome Patient Readmission Male Humans Predictive Value of Tests Middle Aged Registries Risk Assessment
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Neural networks versus Logistic regression for 30 days all-cause readmission prediction.

Scientific reports Jun 26, 2019
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the health...
Female Aged Male Middle Aged Deep Learning ROC Curve Logistic Models United States Predictive Value of Tests Humans Neural Networks, Computer Machine Learning Algorithms False Positive Reactions Risk Area Under Curve Heart Failure Probability Patient Readmission
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Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

Applied clinical informatics May 8, 2019
BACKGROUND: Thirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have been develo...
Models, Theoretical Patient Readmission Hospitals, Military Humans Machine Learning Software Algorithms Prospective Studies Retrospective Studies
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Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BioMed research international Apr 15, 2019
BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive ...
Patient Discharge Male Humans Models, Biological Child Machine Learning ROC Curve Patient Readmission Female Support Vector Machine Risk Factors Predictive Value of Tests
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