COPD

Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.

A robust lung segmentation method using a deep convolutional neural network (CNN) was developed and evaluated on high-resolution computed tomography (HRCT) and volumetric CT of various types of diffuse interstitial lung disease (DILD). Chest CT images of 617 patients with various types of DILD, including cryptogenic organizing pneumonia (COP), usual interstitial pneumonia (UIP), and nonspecific in...

A new approach and gold standard toward author disambiguation in MEDLINE.

OBJECTIVE: Author-centric analyses of fast-growing biomedical reference databases are challenging due to author ambiguity. This problem has been mainly addressed through author disambiguation using supervised machine-learning algorithms. Such algorithms, however, require adequately designed gold standards that reflect the reference database properly. In this study we used MEDLINE to build the firs...

Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning.

Sleep apnea is a common chronic respiratory disorder which occurs due to the repetitive complete or partial cessations of breathing during sleep. The ...

Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry.

Pediatric sleep apnea-hypopnea syndrome (SAHS) is a highly prevalent breathing disorder that is related to many negative consequences for the children...

Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics.

Although self-report pain ratings are the gold standard in clinical pain assessment, they are inherently subjective in nature and significantly influe...

Hydro-Ethanolic Extract of Ameliorates Total and Differential WBC, Lung Pathology and Oxidative Biomarkers in Asthmatic Rats.

The effects of ( ; PO) on total and differential WBC count, and oxidant/antioxidant biomarkers in bronchoalveolar lavage fluid (BALF) as well as on l...

A Cardiac Troponin T Biosensor Based on Aptamer Self-assembling on Gold.

In this study, a sensitive and accurate aptasensor was designed for early detection of myocardial infarction through the determination of troponin T (...

High serum YKL-40 level is associated with poor prognosis in patients with lung cancer.

INTRODUCTION: YKL-40 is a glycoprotein that plays role in inflammation and malignant processes. High serum YKL-40 levels are associated with short sur...

Pulmonary functional parameters and blood cotinine level in chronic obstructive pulmonary disease.

INTRODUCTION: Smoking is the leading cause of chronic obstructive pulmonary disease (COPD) and cotinine is reliable marker of tobacco exposure. We aim...

The effect of continuous positive airway pressure on pulmonary function may depend on the basal level of forced expiratory volume in 1 second.

BACKGROUND: The coexistence of chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA), also referred to as overlap syndrome (O...

Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of dise...

The effects of menopausal hormone therapy on proinflammatory cytokines and immunoglobulins in perimenopausal patients with type 2 diabetes mellitus and chronic obstructive pulmonary disease (COPD).

AIM: To determine the effects of menopausal hormone therapy dosage on levels of proinflammatory cytokines and immunoglobulins in bodily fluids of pati...

A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.

This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory disea...

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.

This study aimed to compare shallow and deep learning of classifying the patterns of interstitial lung diseases (ILDs). Using high-resolution computed...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted surgery is gaining in importance. Up to now there ...

Degradation of textile dyes Remazol Yellow Gold and reactive Turquoise: optimization, toxicity and modeling by artificial neural networks.

In this work, the degradation of Remazol Yellow Gold RNL-150% and Reactive Turquoise Q-G125 were investigated using AOP: photolysis, UV/HO, Fenton and...

Automated Classification Using End-to-End Deep Learning.

According to a study [1] by the Ministry of Health in Singapore, since 2009, cancer, ischaemic heart disease and pneumonia together accounted for appr...

SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning.

Prior work has shown that smartphone spirometry can effectively measure lung function using the phone's built-in microphone and could one day play a c...

An Automated Technique to Construct a Knowledge Base of Traditional Chinese Herbal Medicine for Cancers: An Exploratory Study for Breast Cancer.

Traditional Chinese Medicine utilization has rapidly increased worldwide. However, there is limited database provides the information of TCM herbs and...

Diet, Lung Function, and Asthma Exacerbations in Puerto Rican Children.

Changes in dietary patterns may partly explain the epidemic of asthma in industrialized countries. The objective of this study was to examine the rela...