AIMC Topic: Middle Aged

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Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Apr 2, 2019
PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to be placed in a rehabilitation facility or skilled nursing facility (RF/SNF). An accurate preoperative prediction of who would need a RF/SNF place aft...
Middle Aged Predictive Value of Tests Postoperative Care Elective Surgical Procedures Lumbar Vertebrae Machine Learning Algorithms Female Aged Male Rehabilitation Centers Skilled Nursing Facilities Patient Discharge Spinal Stenosis Netherlands Quality Improvement Patient Transfer Humans Neural Networks, Computer
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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

European radiology Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Radiographic Image Interpretation, Computer-Assisted Prognosis Feasibility Studies Female Hip Fractures False Negative Reactions Aged Radiography, Abdominal Aged, 80 and over Young Adult Adult Humans Sensitivity and Specificity Male Neural Networks, Computer Middle Aged Algorithms Deep Learning ROC Curve
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Use of a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samples: a prospective validation study.

The Lancet. Respiratory medicine Apr 1, 2019
BACKGROUND: In the appropriate clinical setting, the diagnosis of idiopathic pulmonary fibrosis (IPF) requires a pattern of usual interstitial pneumonia to be present on high-resolution chest CT (HRCT) or surgical lung biopsy. A molecular usual inter...
Aged Sensitivity and Specificity Male Middle Aged Lung Idiopathic Pulmonary Fibrosis Diagnosis, Differential Predictive Value of Tests Biopsy Algorithms Prospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Humans Machine Learning
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Automated segmentation of 2D low-dose CT images of the psoas-major muscle using deep convolutional neural networks.

Radiological physics and technology Apr 1, 2019
The psoas-major muscle has been reported as a predictive factor of sarcopenia. The cross-sectional area (CSA) of the psoas-major muscle in axial images has been indicated to correlate well with the whole-body skeletal muscle mass. In this study, we e...
Humans Tomography, X-Ray Computed Female Male Radiation Dosage Middle Aged Muscles Deep Learning Image Processing, Computer-Assisted Lumbar Vertebrae Automation
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Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

Scientific reports Apr 1, 2019
The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item similarities of machine learning has never been applied to the relationship between diseases. The study aim was to identify diseases associated with endomet...
Humans Machine Learning Female Reproducibility of Results Young Adult Logistic Models Diagnosis, Differential Endometriosis Fibrocystic Breast Disease Cystitis Goiter Adult Sensitivity and Specificity Cross-Sectional Studies Middle Aged Adolescent
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Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Sex Factors Beijing Respiratory Tract Diseases Humans Female China Age Factors Adult Adolescent Acute Disease Infant, Newborn Male Incidence Air Pollutants Risk Factors Middle Aged Child, Preschool Particulate Matter Aged Infant Child Environmental Exposure Aged, 80 and over Deep Learning Weather Young Adult
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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Support Vector Machine Diagnosis, Differential Predictive Value of Tests Data Interpretation, Statistical Blood Glucose Self-Monitoring Datasets as Topic Glucose Intolerance Glycemic Control Health Status Indicators Adult Male Middle Aged Blood Glucose Diabetes Mellitus, Type 2 Humans Algorithms Female Reproducibility of Results Aged
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Booster immunity - diagnosis of chronic hepatitis B viral infection.

Journal of infection in developing countries Mar 31, 2019
INTRODUCTION: Diagnosis of chronic hepatitis B virus (HBV) infection particularly its occult form requires monitoring and repeat serological and molecular studies. The aim of the study was to investigate the possible relation between the case of a fa...
Hepatitis B Antibodies Disease Outbreaks Humans Family Health Hepatitis B virus Female Hepatitis A DNA, Viral Adult Hepatitis B Antigens Hepatitis B, Chronic Male Hepatitis B Vaccines Middle Aged
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Coarse-Fine Convolutional Deep-Learning Strategy for Human Activity Recognition.

Sensors (Basel, Switzerland) Mar 31, 2019
In the last decade, deep learning techniques have further improved human activity recognition (HAR) performance on several benchmark datasets. This paper presents a novel framework to classify and analyze human activities. A new convolutional neural ...
Smartphone Walking Humans Accelerometry Young Adult Photography Adult Sitting Position Middle Aged Human Activities Deep Learning
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Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.

Journal of affective disorders Mar 30, 2019
BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is clinically effective for major depressive disorder (MDD) and investigational for other conditions including posttraumatic stress disorder (PTSD). Understanding the mechanisms of TMS ac...
Predictive Value of Tests Electroencephalography Self Report Transcranial Magnetic Stimulation Comorbidity Machine Learning Humans Rhode Island Prefrontal Cortex Female Stress Disorders, Post-Traumatic Sensitivity and Specificity Treatment Outcome Male Support Vector Machine Middle Aged Depressive Disorder, Major
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