AIMC Topic: Patient Readmission

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Machine Learning Improves Prediction Over Logistic Regression on Resected Colon Cancer Patients.

The Journal of surgical research Mar 11, 2022
INTRODUCTION: Despite advances, readmission and mortality rates for surgical patients with colon cancer remain high. Prediction models using regression techniques allows for risk stratification to aid periprocedural care. Technological advances have ...
ROC Curve Logistic Models Colonic Neoplasms Patient Readmission Humans Machine Learning
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Surgical Complications and Hospital Costs in Robot-Assisted Versus Conventional Laparoscopic Hysterectomy With Concurrent Sacrocolpopexy: Analysis of the Nationwide Readmissions Database.

Female pelvic medicine & reconstructive surgery Feb 1, 2022
OBJECTIVES: Despite increasing use of robotic technology for minimally invasive hysterectomy with sacrocolpopexy, evidence supporting the benefits of these costly procedures remains inconclusive. This study aimed to compare differences in perioperati...
Robotic Surgical Procedures Patient Readmission Hysterectomy Hospitals Robotics Laparoscopy Hospital Costs Female Postoperative Complications Humans Retrospective Studies
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Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments.

Scientific reports Nov 2, 2021
Short-term reattendances to emergency departments are a key quality of care indicator. Identifying patients at increased risk of early reattendance could help reduce the number of missed critical illnesses and could reduce avoidable utilization of em...
Machine Learning Algorithms Aftercare Patient Discharge Patient Readmission Adolescent Triage Emergency Service, Hospital Adult Male Middle Aged Risk Factors Humans Hospitalization Aged Young Adult Critical Illness Electronic Health Records Female Retrospective Studies
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The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Oct 22, 2021
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given...
Decision Making Humans Patient Discharge Machine Learning Netherlands Intensive Care Units Patient Readmission Quality-Adjusted Life Years Cost-Benefit Analysis Markov Chains Models, Economic
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Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.

BMC medical informatics and decision making Oct 20, 2021
BACKGROUND: Early unplanned hospital readmissions are associated with increased harm to patients, increased medical costs, and negative hospital reputation. With the identification of at-risk patients, a crucial step toward improving care, appropriat...
Adult Middle Aged Patient Readmission Retrospective Studies Risk Factors Aged Machine Learning Algorithms Humans
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Prediction of Readmission in Geriatric Patients From Clinical Notes: Retrospective Text Mining Study.

Journal of medical Internet research Oct 19, 2021
BACKGROUND: Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are...
Data Mining Patient Readmission Humans Artificial Intelligence Retrospective Studies Risk Factors Aged Length of Stay
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Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting.

The Annals of thoracic surgery Sep 25, 2021
BACKGROUND: Machine learning may enhance prediction of outcomes after coronary artery bypass grafting (CABG). We sought to develop and validate a dynamic machine learning model to predict CABG outcomes at clinically relevant pre- and postoperative ti...
Risk Factors Risk Assessment Patient Readmission Coronary Artery Bypass Humans Machine Learning Algorithms
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Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?

The spine journal : official journal of the North American Spine Society Aug 15, 2021
BACKGROUND CONTEXT: The increasing volume of free-text notes available in electronic health records has created an opportunity for natural language processing (NLP) algorithms to mine this unstructured data in order to detect and predict adverse outc...
Humans Retrospective Studies Adult Natural Language Processing Patient Readmission Lumbosacral Region Spondylolisthesis
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Using the Super Learner algorithm to predict risk of 30-day readmission after bariatric surgery in the United States.

Surgery Jul 31, 2021
BACKGROUND: Risk prediction models that estimate patient probabilities of adverse events are commonly deployed in bariatric surgery. The objective was to validate a machine learning (Super Learner) prediction model of 30-day readmission after bariatr...
Obesity, Morbid Patient Readmission Logistic Models Predictive Value of Tests Bariatric Surgery Middle Aged Postoperative Complications ROC Curve Humans Female Risk Factors Adult Male Machine Learning Algorithms Retrospective Studies
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Improving hospital readmission prediction using individualized utility analysis.

Journal of biomedical informatics Jun 1, 2021
OBJECTIVE: Machine learning (ML) models for allocating readmission-mitigating interventions are typically selected according to their discriminative ability, which may not necessarily translate into utility in allocation of resources. Our objective w...
Aged Patient Readmission Machine Learning Retrospective Studies Female Humans
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