AIMC Topic: Predictive Value of Tests

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Prediction of chronological and biological age from laboratory data.

Aging May 5, 2020
Aging has pronounced effects on blood laboratory biomarkers used in the clinic. Prior studies have largely investigated one biomarker or population at a time, limiting a comprehensive view of biomarker variation and aging across different populations...
Aged Aged, 80 and over Young Adult Aging Humans Middle Aged Adult Infant Machine Learning Male Child Adolescent Biomarkers Predictive Value of Tests Child, Preschool Retrospective Studies Female
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Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imaging obtained before uterine fibroid embolization to predict procedure outcome.
Image Interpretation, Computer-Assisted Observer Variation Philadelphia Leiomyoma Uterine Artery Embolization Deep Learning Treatment Outcome Magnetic Resonance Imaging Predictive Value of Tests Uterine Neoplasms Reproducibility of Results Aged Adult Middle Aged Diagnosis, Computer-Assisted Retrospective Studies Clinical Decision-Making Female Humans
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A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method.

Scientific reports May 4, 2020
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of 65 participants with 105 myometrial tumors were inc...
Humans Machine Learning Middle Aged Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Decision Trees Algorithms Female Reproducibility of Results Adult Sensitivity and Specificity Myometrium Predictive Value of Tests Uterine Neoplasms Magnetic Resonance Spectroscopy Leiomyoma Premenopause
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Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea.

Scientific reports May 4, 2020
Herein, we aim to assess mortality risk prediction in peritoneal dialysis patients using machine-learning algorithms for proper prognosis prediction. A total of 1,730 peritoneal dialysis patients in the CRC for ESRD prospective cohort from 2008 to 20...
Female Risk Factors Aged Adult Middle Aged Male Humans Predictive Value of Tests Machine Learning Models, Biological Prospective Studies Mortality Republic of Korea Peritoneal Dialysis
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Segmenting nailfold capillaries using an improved U-net network.

Microvascular research May 1, 2020
To assess the microcirculation in a patient's capillaries, clinicians often use the valuable and non-invasive diagnostic tool of nailfold capillaroscopy (NC). In particular, evaluating the images that result from NC is particularly important for diag...
Nails Microscopic Angioscopy Capillaries Adult Male Middle Aged Predictive Value of Tests Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Female Reproducibility of Results Young Adult
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Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests.

Geriatrics & gerontology international May 1, 2020
AIM: The purpose of this study was to develop a machine learning prediction model for successful aging (SA) based on physical fitness tests.
Sensitivity and Specificity Male Aging Middle Aged Exercise Humans Machine Learning Female Aged Aged, 80 and over Decision Trees Predictive Value of Tests Geriatric Assessment China Physical Fitness Surveys and Questionnaires Independent Living ROC Curve Healthy Aging Logistic Models Follow-Up Studies
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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.
Medical History Taking Electronic Health Records Inpatients Female Predictive Value of Tests Male Humans Hospitalization Area Under Curve Middle Aged Aged Hypoglycemia Machine Learning Blood Glucose Aged, 80 and over United Kingdom Algorithms Cohort Studies Prognosis Models, Theoretical
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Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

AJR. American journal of roentgenology Apr 29, 2020
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET, the utility of deep machine learning with a convolutional neural network (CNN) in predicting the potential of newly diagnosed non-small cell lung can...
Lymphatic Metastasis Predictive Value of Tests Humans Positron Emission Tomography Computed Tomography Neural Networks, Computer Radiopharmaceuticals Female Male Retrospective Studies Neoplasm Metastasis Aged Middle Aged Aged, 80 and over Fluorodeoxyglucose F18 Imaging, Three-Dimensional Adult Lung Neoplasms Sensitivity and Specificity Carcinoma, Non-Small-Cell Lung
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Predicting Glaucoma before Onset Using Deep Learning.

Ophthalmology. Glaucoma Apr 29, 2020
PURPOSE: To assess the accuracy of deep learning models to predict glaucoma development from fundus photographs several years before disease onset.
Retinal Ganglion Cells Visual Fields Male Middle Aged Humans Deep Learning Glaucoma Predictive Value of Tests Prospective Studies Tomography, Optical Coherence Female Intraocular Pressure
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Estimation of age in unidentified patients via chest radiography using convolutional neural network regression.

Emergency radiology Apr 28, 2020
PURPOSE: Patient age has important clinical utility for refining a differential diagnosis in radiology. Here, we evaluate the potential for convolutional neural network models to predict patient age based on anterior-posterior chest radiographs for i...
Humans Neural Networks, Computer Female Male Predictive Value of Tests Emergency Service, Hospital Datasets as Topic Radiography, Thoracic Age Determination by Skeleton
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