AIMC Topic: Comorbidity

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Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Medicine Dec 4, 2020
Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work...
Algorithms Retrospective Studies Female Male Comorbidity Humans Machine Learning Emergency Service, Hospital Tertiary Care Centers Sex Factors Patient Readmission France Severity of Illness Index ROC Curve Socioeconomic Factors Health Status Age Factors
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Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Administration and policy in mental health Sep 1, 2020
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants were 6630 youth with a parent-reported diagnosis of ADHD from the 2016-2017 National Survey of Children...
Attention Deficit Disorder with Hyperactivity Patient Acceptance of Health Care Risk Factors Male Comorbidity Severity of Illness Index Adolescent Child, Preschool Child ROC Curve Socioeconomic Factors Humans Machine Learning Female
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Machine Learning for Predictive Modeling of 90-day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion.

Spine Aug 15, 2020
STUDY DESIGN: Retrospective case control study.
Humans Machine Learning Databases, Factual Retrospective Studies Male Middle Aged Postoperative Complications Comorbidity Case-Control Studies Female Risk Factors Aged Adult Patient Readmission Postoperative Period Inpatients Spinal Fusion Lumbar Vertebrae Patient Discharge
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Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Chest radiographs are primarily employed for the screening of cardio, thoracic and pulmonary conditions. Machine learning based automated solutions are being developed to reduce the burden of routine screening on Radiologists, allowing them to focus ...
Neural Networks, Computer Machine Learning Research Comorbidity Radiography
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A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty.

The Journal of the American Academy of Orthopaedic Surgeons Jul 1, 2020
INTRODUCTION: Patient selection for outpatient total shoulder arthroplasty (TSA) is important to optimizing patient outcomes. This study aims to develop a machine learning tool that may aid in patient selection for outpatient total should arthroplast...
Arthroplasty, Replacement, Shoulder Age Factors Patient Selection Sex Factors Outpatients Female Aged Pulmonary Disease, Chronic Obstructive Male Comorbidity Length of Stay ROC Curve Logistic Models Treatment Outcome Humans Machine Learning Forecasting Decision Support Techniques
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The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non-Small Cell Lung Cancer: A Variable Importance Approach.

Medical care May 1, 2020
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting ov...
Comorbidity Lung Neoplasms Carcinoma, Non-Small-Cell Lung Models, Statistical Positron Emission Tomography Computed Tomography Neoplasm Staging Radiopharmaceuticals Tumor Burden Random Allocation Whole Body Imaging Female Aged Adult Male Middle Aged Humans Machine Learning Prognosis Retrospective Studies
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Identifying Schizo-Obsessive Comorbidity by Tract-Based Spatial Statistics and Probabilistic Tractography.

Schizophrenia bulletin Feb 26, 2020
A phenomenon in schizophrenia patients that deserves attention is the high comorbidity rate with obsessive-compulsive disorder (OCD). Little is known about the neurobiological basis of schizo-obsessive comorbidity (SOC). We aimed to investigate wheth...
Male Comorbidity Adolescent Support Vector Machine Schizophrenia White Matter Nerve Net Diffusion Tensor Imaging Obsessive-Compulsive Disorder Humans Female Young Adult Adult
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Development of a periodontitis risk assessment model for primary care providers in an interdisciplinary setting.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Periodontitis (PD), a form of gum disease, is a major public health concern as it is globally prevalent and harms both individual quality of life and economic productivity. Global cost in lost productivity is estimated at US$54 billion an...
Oral Hygiene Blood Pressure Bayes Theorem Sex Factors Body Weights and Measures Aged, 80 and over Young Adult Adult Male Middle Aged Artificial Intelligence Retrospective Studies Female Aged Socioeconomic Factors Support Vector Machine Age Factors Lipids Periodontitis Comorbidity Primary Health Care Decision Support Systems, Clinical Logistic Models Humans Neural Networks, Computer
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A new and efficient numerical method for the fractional modeling and optimal control of diabetes and tuberculosis co-existence.

Chaos (Woodbury, N.Y.) Sep 1, 2019
The main objective of this research is to investigate a new fractional mathematical model involving a nonsingular derivative operator to discuss the clinical implications of diabetes and tuberculosis coexistence. The new model involves two distinct p...
Humans Neural Networks, Computer Comorbidity Diabetes Mellitus Models, Biological Tuberculosis
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Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The objective of this study was to design and develop a 30-day risk of hospital readmission predictive model using machine learning techniques. The proposed risk of readmission predictive model was then validated with the two most commonly used risk ...
Patient Readmission Comorbidity Humans Length of Stay Machine Learning Logistic Models Retrospective Studies Emergency Service, Hospital Risk Factors Patient Discharge
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