AIMC Topic: Hospitalization

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Imbalanced prediction of emergency department admission using natural language processing and deep neural network.

Journal of biomedical informatics Aug 19, 2022
The emergency department (ED) plays a very significant role in the hospital. Owing to the rising number of ED visits, medical service points, and ED market, overcrowding of EDs has become serious worldwide. Overcrowding has long been recognized as a ...
Hospitalization Natural Language Processing Emergency Service, Hospital Neural Networks, Computer Artificial Intelligence Humans
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Exploration of machine learning methods to predict systemic lupus erythematosus hospitalizations.

Lupus Jul 14, 2022
OBJECTIVES: Systemic lupus erythematosus (SLE) is a heterogeneous disease characterized by disease flares which can require hospitalization. Our objective was to apply machine learning methods to predict hospitalizations for SLE from electronic healt...
Bayes Theorem Lupus Erythematosus, Systemic Albumins Biomarkers Hospitalization Humans Machine Learning
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Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients.

JACC. Heart failure Jul 6, 2022
BACKGROUND: Surgical mechanical ventricular assistance and cardiac replacement therapies, although life-saving in many heart failure (HF) patients, remain high-risk. Despite this, the difficulty in timely identification of medical therapy nonresponde...
Electronic Health Records Hospitalization Aged Humans Adolescent Cohort Studies Adult Heart Failure Aged, 80 and over Middle Aged Young Adult Deep Learning
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Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure.

ESC heart failure Jun 23, 2022
AIMS: Risk changes with the progression of disease and the impact of treatment. We developed a dynamic risk stratification Markov chain model using artificial intelligence in patients with chronic heart failure (CHF).
Markov Chains Artificial Intelligence Hospitalization Chronic Disease Heart Failure Risk Assessment Humans
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A deep learning based multimodal interaction system for bed ridden and immobile hospital admitted patients: design, development and evaluation.

BMC health services research Jun 21, 2022
BACKGROUND: Hospital cabins are a part and parcel of the healthcare system. Most patients admitted in hospital cabins reside in bedridden and immobile conditions. Though different kinds of systems exist to aid such patients, most of them focus on spe...
Hospitalization Hospitals Deep Learning Humans Inpatients Gestures
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Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease.

Clinical and translational gastroenterology Jun 7, 2022
INTRODUCTION: Hospitalization is the primary driver of inflammatory bowel disease (IBD)-related healthcare costs and morbidity. Traditional prediction models have poor performance at identifying patients at highest risk of unplanned healthcare utiliz...
Adult Chronic Disease Humans Risk Factors Inflammatory Bowel Diseases Hospitalization Retrospective Studies Machine Learning
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Prediction of Bronchopneumonia Inpatients' Total Hospitalization Expenses Based on BP Neural Network and Support Vector Machine Models.

Computational and mathematical methods in medicine May 18, 2022
OBJECTIVE: BP neural network (BPNN) model and support vector machine (SVM) model were used to predict the total hospitalization expenses of patients with bronchopneumonia.
Hospitalization Support Vector Machine Inpatients Bronchopneumonia Humans Neural Networks, Computer
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Optimizing discharge after major surgery using an artificial intelligence-based decision support tool (DESIRE): An external validation study.

Surgery May 4, 2022
BACKGROUND: In the DESIRE study (Discharge aftEr Surgery usIng aRtificial intElligence), we have previously developed and validated a machine learning concept in 1,677 gastrointestinal and oncology surgery patients that can predict safe hospital disc...
Patient Discharge Machine Learning ROC Curve Retrospective Studies Humans Hospitalization Artificial Intelligence
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Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.

Applied clinical informatics May 4, 2022
OBJECTIVE: The purpose of this study is to evaluate the ability of three metrics to monitor for a reduction in performance of a chronic kidney disease (CKD) model deployed at a pediatric hospital.
Child ROC Curve Benchmarking Models, Biological Renal Insufficiency, Chronic Risk Factors Hospitalization Machine Learning Male Retrospective Studies Prospective Studies Humans Computer Simulation Female
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Cardiac auscultation predicts mortality in elderly patients admitted for COVID-19.

Hospital practice (1995) Apr 29, 2022
INTRODUCTION: COVID-19 has had a great impact on the elderly population. All admitted patients underwent cardiac auscultation at the Emergency Department. However, to our knowledge, there is no literature that explains the implications of cardiac aus...
Female Arrhythmias, Cardiac Aged, 80 and over Hospitalization Humans Male Aged Heart Auscultation COVID-19 Hospital Mortality
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