AIMC Topic: Cohort Studies

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Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

International journal of medical informatics Jul 6, 2019
OBJECTIVE: Electronic health record (EHR) systems contain structured data (such as diagnostic codes) and unstructured data (clinical documentation). Clinical insights can be derived from analyzing both. The use of natural language processing (NLP) al...
Humans Middle Aged Disease Progression Cohort Studies Natural Language Processing Non-alcoholic Fatty Liver Disease Algorithms Electronic Health Records Female Male
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Comparison of machine learning models for seizure prediction in hospitalized patients.

Annals of clinical and translational neurology Jun 27, 2019
OBJECTIVE: To compare machine learning methods for predicting inpatient seizures risk and determine the feasibility of 1-h screening EEG to identify low-risk patients (<5% seizures risk in 48 h).
Young Adult Male Cohort Studies Monitoring, Physiologic Electroencephalography Seizures Critical Care Neural Networks, Computer Machine Learning Female Aged Aged, 80 and over Humans
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Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.

The British journal of radiology Jun 24, 2019
OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screening population.
Deep Learning Cohort Studies Longitudinal Studies Sarcopenia Retrospective Studies Abdominal Muscles Humans Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Female Radiography, Abdominal Male Middle Aged
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MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer.

European journal of radiology Jun 22, 2019
PURPOSE: To develop and validate an Artificial Intelligence (AI) model based on texture analysis of high-resolution T2 weighted MR images able 1) to predict pathologic Complete Response (CR) and 2) to identify non-responders (NR) among patients with ...
Artificial Intelligence Rectum Prospective Studies Rectal Neoplasms Retrospective Studies Female Chemoradiotherapy, Adjuvant Reproducibility of Results Cohort Studies Aged Humans ROC Curve Treatment Outcome Aged, 80 and over Neoadjuvant Therapy Male Magnetic Resonance Imaging Middle Aged
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Deep learning assisted mitotic counting for breast cancer.

Laboratory investigation; a journal of technical methods and pathology Jun 20, 2019
As part of routine histological grading, for every invasive breast cancer the mitotic count is assessed by counting mitoses in the (visually selected) region with the highest proliferative activity. Because this procedure is prone to subjectivity, th...
Diagnosis, Computer-Assisted Deep Learning Cohort Studies Netherlands Reproducibility of Results Observer Variation Aged Humans Mitotic Index Adult Neural Networks, Computer Breast Neoplasms Prospective Studies Middle Aged Retrospective Studies Female
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Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.

Magnetic resonance imaging Jun 19, 2019
Carotid-artery atherosclerosis (CA) contributes significantly to overall morbidity and mortality in ischemic stroke. We propose a machine learning technique to automatically identify subjects with CA from a heterogeneous cohort of magnetic resonance ...
Humans Brain Pattern Recognition, Automated Support Vector Machine Adult Neuroimaging Female Magnetic Resonance Imaging Sensitivity and Specificity Carotid Arteries Atherosclerosis Reproducibility of Results White Matter Male Multiple Sclerosis Middle Aged Aged Cohort Studies Aged, 80 and over
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Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.

NeuroImage Jun 18, 2019
The specificity and sensitivity of resting state functional MRI (rs-fMRI) measurements depend on preprocessing choices, such as the parcellation scheme used to define regions of interest (ROIs). In this study, we critically evaluate the effect of bra...
Male Adolescent Cohort Studies Child Magnetic Resonance Imaging Autism Spectrum Disorder Brain Young Adult Adult Image Interpretation, Computer-Assisted Connectome Atlases as Topic Humans Neural Networks, Computer Machine Learning
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Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique.

Resuscitation Jun 17, 2019
BACKGROUND: Outcome prediction for patients with out-of-hospital cardiac arrest (OHCA) has the possibility to detect patients who could have been potentially saved. Advanced machine learning techniques have recently been developed and employed for cl...
Machine Learning Prognosis Adult Survival Rate Adolescent Humans Cohort Studies Models, Theoretical Out-of-Hospital Cardiac Arrest
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A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data.

IEEE journal of biomedical and health informatics Jun 11, 2019
Constructing statistical models using personal sensor data could allow for tracking health status over time, thereby enabling the possibility of early intervention. The goal of this study was to use machine learning algorithms to classify patient-rep...
Telemedicine Heart Diseases Monitoring, Ambulatory Fitness Trackers Algorithms Cohort Studies Humans Health Status Self Report Machine Learning
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Medical Errors Radiotherapy Planning, Computer-Assisted Radiotherapy Setup Errors Datasets as Topic Radiotherapy Dosage Humans Cohort Studies Technology, Radiologic False Negative Reactions Organ Specificity Neural Networks, Computer ROC Curve False Positive Reactions Dose Fractionation, Radiation Algorithms Bayes Theorem Radiotherapy, Image-Guided Neoplasms Radiologists Simulation Training
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