AIMC Topic: Middle Aged

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Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer.

JCO clinical cancer informatics Mar 1, 2020
PURPOSE: For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, Cox regression). Here we define and evaluat...
Aged, 80 and over Young Adult Adult Survival Rate Breast Neoplasms Algorithms Computer Simulation Female Aged Neoplasm Recurrence, Local Tumor Burden Neoplasm Metastasis Biomarkers, Tumor Middle Aged Age Factors Predictive Value of Tests Neoplasm Staging Humans Machine Learning
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A case report on intensive, robot-assisted rehabilitation program for brainstem radionecrosis.

Medicine Mar 1, 2020
INTRODUCTION: Radiotherapy is a valid treatment option for nasopharyngeal carcinoma. However, complications can occur following irradiation of the closest anatomical structures, including brainstem radionecrosis (BRN). The rehabilitation is poorly de...
Radiation Injuries Nasopharyngeal Neoplasms Paresis Brain Stem Humans Male Middle Aged Magnetic Resonance Imaging Robotics Exercise Therapy
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Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support.

The journal of trauma and acute care surgery Mar 1, 2020
INTRODUCTION: Admission computed tomography (CT) is a widely used diagnostic tool for patients with pelvic fractures. In this pilot study, we hypothesized that pelvic hematoma volumes derived using a rapid automated deep learning-based quantitative v...
Pelvic Bones Fractures, Bone Blood Transfusion Hematoma Embolization, Therapeutic Endotamponade Humans Algorithms Middle Aged Deep Learning Pilot Projects Hospital Mortality Decision Support Systems, Clinical Retrospective Studies Female Adult Male
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Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

Korean journal of radiology Mar 1, 2020
OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reco...
Humans Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Female Radiation Dosage Aged Signal-To-Noise Ratio Deep Learning ROC Curve Young Adult Abdomen Adult Body Mass Index Male Area Under Curve Middle Aged
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A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population.
Humans Models, Theoretical Machine Learning Socioeconomic Factors Area Under Curve Algorithms Prediabetic State Female Risk Factors Adult Male Middle Aged Prevalence ROC Curve Nutrition Surveys
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Temporal convolutional networks allow early prediction of events in critical care.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: Clinical interventions and death in the intensive care unit (ICU) depend on complex patterns in patients' longitudinal data. We aim to anticipate these events earlier and more consistently so that staff can consider preemptive action.
Humans Neural Networks, Computer Machine Learning Computer Simulation Prognosis Male Middle Aged Hospital Mortality Logistic Models Critical Care Intensive Care Units Female Hospitalization Aged Aged, 80 and over
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Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Abdominal radiology (New York) Mar 1, 2020
PURPOSE: To predict the histologic grade of small clear cell renal cell carcinomas (ccRCCs) using texture analysis and machine learning algorithms.
Carcinoma, Renal Cell Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Male Middle Aged Pilot Projects Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Humans
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Reproducibility of Results Cornea Male Middle Aged Deep Learning Humans Algorithms Female Microscopy, Confocal Nerve Fibers Diabetic Neuropathies Corneal Diseases Ophthalmic Nerve
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Acceptability and Perceived Utility of Telemedical Consultation during Cardiac Arrest Resuscitation. A Multicenter Survey.

Annals of the American Thoracic Society Mar 1, 2020
Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack confidence for this task or worry about errors. Well-led IHCA resuscitation teams deliver better care, but expert resuscitation leaders are often unavai...
Utah Male Humans Hospital Units Middle Aged Cardiopulmonary Resuscitation Intensive Care Units Idaho Heart Arrest Attitude of Health Personnel Female Medical Staff, Hospital Nursing Staff, Hospital Adult Telemedicine Referral and Consultation
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Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach.

International psychogeriatrics Mar 1, 2020
OBJECTIVES: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.
Humans Machine Learning Female Aged Aged, 80 and over Sleep Wake Disorders Aggression Delusions Behavioral Symptoms Male Depression Middle Aged Disease Progression Cognitive Dysfunction Anxiety Dementia Longitudinal Studies Neuropsychological Tests
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