AIMC Topic: Inpatients
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Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.
Clinical research in cardiology : official journal of the German Cardiac Society
Jun 24, 2020
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indicat...
In-Hospital Prognostic Value of Electrocardiographic Parameters Other Than ST-Segment Changes in Acute Myocardial Infarction: Literature Review and Future Perspectives.
Heart, lung & circulation
Jun 11, 2020
Electrocardiography (ECG) remains an irreplaceable tool in the management of the patients with myocardial infarction, with evaluation of the QRS and ST segment being the present major focus. Several ECG parameters have already been proposed to have p...
Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.
Journal of neuroengineering and rehabilitation
Jun 10, 2020
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a patient's impairment and function. Predicting a patient's discharge outcome using baseline clinical information may help clinicians design more targete...
Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.
Journal of vascular and interventional radiology : JVIR
May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Time Factors
Child, Preschool
Child
Hospital Mortality
United States
Middle Aged
Risk Assessment
Infant
Length of Stay
Adolescent
Iatrogenic Disease
Pneumothorax
Uterine Artery Embolization
Inpatients
Data Mining
Radiography, Interventional
Image-Guided Biopsy
Portasystemic Shunt, Transjugular Intrahepatic
Databases, Factual
Retrospective Studies
Female
Infant, Newborn
Risk Factors
Aged
Aged, 80 and over
Young Adult
Adult
Male
Humans
Machine Learning
Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.
Diabetes care
Apr 29, 2020
OBJECTIVE: We analyzed data from inpatients with diabetes admitted to a large university hospital to predict the risk of hypoglycemia through the use of machine learning algorithms.
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.
BMC medical informatics and decision making
Apr 29, 2020
BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at e...
Predicting Inpatient Medication Orders From Electronic Health Record Data.
Clinical pharmacology and therapeutics
Apr 11, 2020
In a general inpatient population, we predicted patient-specific medication orders based on structured information in the electronic health record (EHR). Data on over three million medication orders from an academic medical center were used to train ...
An Artificial Neural Network-based Predictive Model to Support Optimization of Inpatient Glycemic Control.
Diabetes technology & therapeutics
Feb 6, 2020
Achieving glycemic control in critical care patients is of paramount importance, and has been linked to reductions in mortality, intensive care unit (ICU) length of stay, and morbidities such as infection. The myriad of illnesses and patient conditi...
A continual prediction model for inpatient acute kidney injury.
Computers in biology and medicine
Dec 12, 2019
Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious medical complications. But it is preventable and potentially reversible with early diagnosis and management. Therefore, several machine learning based predicti...
[Hemoglobinuria in children hospitalized in Ouagadougou: short term inpatient care and prognosis].
The Pan African medical journal
Nov 26, 2019
INTRODUCTION: The purpose of this study was to analyze the epidemiological, diagnostic, therapeutic and evolutionary features of hemoglobinuria in children hospitalized in the Pediatric University Hospital Charles de Gaulle, Ouagadougou.
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