AIMC Topic: Inpatients

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Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.

International journal of cardiology Jan 19, 2019
OBJECTIVE: The In-hospital length of stay (LOS) is expected to increase as cardiovascular diseases complexity increases and the population ages. This will affect healthcare systems especially with the current situation of decreased bed capacity and i...
Humans Machine Learning Prognosis Retrospective Studies Saudi Arabia ROC Curve Inpatients Morbidity Heart Diseases Electronic Health Records Female Male Middle Aged Length of Stay
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Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models.

The Journal of arthroplasty Dec 27, 2018
BACKGROUND: Value-based payment programs in orthopedics, specifically primary total hip arthroplasty (THA), present opportunities to apply forecasting machine learning techniques to adjust payment models to a specific patient or population. The objec...
Elective Surgical Procedures Reproducibility of Results Bayes Theorem Humans Health Expenditures Machine Learning Arthroplasty, Replacement, Hip Comorbidity Algorithms Databases, Factual Length of Stay ROC Curve Inpatients
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The use of da Vinci Xi and the increased surgeon's experience could change the perspective over the cost-benefit ratio of robot-assisted surgery.

Updates in surgery Dec 26, 2018
Costs and Cost Analysis Surgeons Inpatients Robotics Laparoscopy Humans
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Social robots to support children's well-being under medical treatment: A systematic state-of-the-art review.

Journal of child health care : for professionals working with children in the hospital and community Nov 3, 2018
Hospitalization is a stressful experience for children. Socially assistive robots (SARs), designed to interact with humans, might be a means to mitigate a child's stress and support its well-being. A systematic state-of-the-art review was performed t...
Hospitalization Communication Child Emotions Inpatients Robotics Family Child Welfare Humans
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Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

Journal of biomedical informatics Sep 18, 2018
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a serious problem. This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.
Humans Machine Learning Algorithms Retrospective Studies Middle Aged ROC Curve Logistic Models Support Vector Machine Longitudinal Studies Female Hospitalization Aged Sensitivity and Specificity Male North Carolina Outpatients Rehabilitation Preventive Medicine Regression Analysis Inpatients Patient Readmission Risk
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Machine Learning and Primary Total Knee Arthroplasty: Patient Forecasting for a Patient-Specific Payment Model.

The Journal of arthroplasty Sep 5, 2018
BACKGROUND: Value-based and patient-specific care represent 2 critical areas of focus that have yet to be fully reconciled by today's bundled care model. Using a predictive naïve Bayesian model, the objectives of this study were (1) to develop a mach...
Patient-Specific Modeling Health Expenditures Models, Economic Arthroplasty, Replacement, Knee Costs and Cost Analysis Machine Learning Algorithms Databases, Factual Comorbidity Length of Stay ROC Curve Inpatients Bayes Theorem Patient Care Bundles Humans
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Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.

Journal of biomedical informatics Aug 14, 2018
OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic psychiatry settings. A potential alternate or supplementary means of risk prediction is from the automated analysis of case notes in Electronic Health...
Reproducibility of Results Sensitivity and Specificity Mental Health Risk Assessment Humans Support Vector Machine Ethics, Medical Mental Health Services Algorithms Unified Medical Language System Regression Analysis Electronic Health Records Forensic Psychiatry Inpatients Tasmania Natural Language Processing
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Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Motor Skills Leukocyte Count Motor Activity Stroke Rehabilitation Stroke Male Hematocrit Time Factors Inflammation Mediators Health Status Cognition Humans Linear Models Treatment Outcome Inpatients Longitudinal Studies Machine Learning Recovery of Function Decision Support Techniques Predictive Value of Tests Biomarkers Disability Evaluation Female
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An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest.

Journal of the American Heart Association Jun 26, 2018
BACKGROUND: In-hospital cardiac arrest is a major burden to public health, which affects patient safety. Although traditional track-and-trigger systems are used to predict cardiac arrest early, they have limitations, with low sensitivity and high fal...
Male Humans Middle Aged Decision Support Techniques Risk Assessment Prognosis Diagnosis, Computer-Assisted Time Factors Vital Signs Retrospective Studies Reproducibility of Results Deep Learning Inpatients Female Heart Arrest Risk Factors Predictive Value of Tests Resuscitation Aged Early Diagnosis Seoul Adult
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Time series model for forecasting the number of new admission inpatients.

BMC medical informatics and decision making Jun 15, 2018
BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and ...
Inpatients Patient Admission Neural Networks, Computer Forecasting China Models, Theoretical Humans
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