A5001811803- Chronic Obstructive Pulmonary Disease (COPD) Research
- Respiratory and Cough-Related Research
- Phonocardiography and Auscultation Techniques
- Asthma and respiratory diseases
- Pediatric health and respiratory diseases
- Respiratory viral infections research
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Voice and Speech Disorders
- Mycobacterium research and diagnosis
- Pneumonia and Respiratory Infections
- Emergency and Acute Care Studies
- Tuberculosis Research and Epidemiology
- Burkholderia infections and melioidosis
- Mobile Health and mHealth Applications
- Transplantation: Methods and Outcomes
- Thyroid Disorders and Treatments
- Obstructive Sleep Apnea Research
- Diagnosis and treatment of tuberculosis
- Gastrointestinal disorders and treatments
- Speech and Audio Processing
- Pharmacological Effects of Natural Compounds
- Pneumothorax, Barotrauma, Emphysema
- Face recognition and analysis
Genesis HealthCare
2020-2022
Respiratory Clinical Trials
2022
GF Jooste Hospital
2020
Curtin University
2019
National Kinki Chuo Hospital for Chest Disease
2019
Second Affiliated Hospital of Nanjing Medical University
2019
Catholic University of Korea
2019
Korea University
2019
University of Tasmania
2000
Royal Perth Hospital
2000
Spirometry is a commonly used method of measuring lung function. It useful in the definitive diagnosis diseases such as asthma and chronic obstructive pulmonary disease (COPD). However, spirometry requires cooperative patients, experienced staff, repeated testing to ensure consistency measurements. There discomfort associated with some patients are not able complete test. In this paper, we investigate possibility using cough sound analysis for prediction measurements.Our approach based on...
Obstructive Sleep Apnea (OSA) occurs when obstruction happens repeatedly in the airway during sleep due to relaxation of tongue and airway-muscles. Usual indicators OSA are snoring, poor night choking or gasping for air waking up unrefreshed. diagnosis is costly both monetary timely manner. That why many patients remain undiagnosed unaware their condition. Previous research has shown link between facial morphology OSA. In this paper, we investigate application deep learning techniques...
Abstract Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are commonly encountered in the primary care setting, though accurate and timely diagnosis is problematic. Using technology like that employed speech recognition technology, we developed a smartphone-based algorithm for rapid AECOPD. The incorporates patient-reported features (age, fever, new cough), audio data from five coughs can be deployed by novice users. We compared accuracy to expert clinical assessment. In...
Background Rapid and accurate diagnosis of chronic obstructive pulmonary disease (COPD) is problematic in acute care settings, particularly the presence infective comorbidities. Objective The aim this study was to develop a rapid smartphone-based algorithm for detection COPD or absence respiratory infection evaluate diagnostic accuracy on an independent validation set. Methods Participants aged 40 75 years with without symptoms who had no condition apart from COPD, bronchitis, emphysema were...
Background Community-acquired pneumonia (CAP) is an essential consideration in patients presenting to primary care with respiratory symptoms; however, accurate diagnosis difficult when clinical and radiological examinations are not possible, such as during telehealth consultations. Aim To develop test a smartphone-based algorithm for diagnosing CAP without need examination or inputs. Design setting A prospective cohort study using data from participants aged >12 years acute symptoms...
Asthma poses a significant burden for the Australian population. Understanding severe exacerbation rates, and steroid-related adults diagnosed with asthma stands to offer insights into how this could be reduced.Electronic medical records (EMR) questionnaires from Optimum Patient Care Research Database Australia (OPCRDA) were utilised retrospectively. OPCRDA is real-world database >800,000 primary care practices. Outcomes exacerbations in adults, over 12-month period, stratified by Global...
Objective: Early and accurate recognition of asthma exacerbations reduces the duration risk hospitalization. Current diagnostic methods depend upon patient symptoms, expert clinical examination, or measures lung function. Here, we aimed to develop test accuracy a smartphone-based algorithm that analyses five cough events patient-reported features (age, fever, acute productive wheeze) detect exacerbations.Methods: We conducted double-blind, prospective, study comparing with opinion formal...
dysmotility symptoms score.A multivariate linear regression analysis revealed that the mean LCQ total score was independently associated with current smoker, fibrocavitary type, bilateral cavitary lesion, and FSSG (Table 2).Conclusions: Cough-and sputum-related QOL impaired in NTM patients smoking, radiographical characteristics, comorbid GERD being cough-specific QOL.
<b>Introduction:</b> Identifying exacerbations in patients with COPD is necessary to allow the implementation of timely and appropriate treatment but resource intensive may be confused other conditions. <b>Aim:</b> To determine accuracy exacerbation detection subjects aged over 40 years using a smartphone-based algorithm that analyses cough sounds patient-reported symptoms. <b>Methods:</b> A diagnostic model (index test) was developed five three-patient reported features (age, fever acute...
ABSTRACT Background Community-acquired pneumonia (CAP) is an essential consideration in patients presenting to primary care with respiratory symptoms; however, accurate diagnosis difficult when clinical and radiologic examinations are not possible, such as during telehealth consultations. Aim To develop test a smartphone-based algorithm for diagnosing CAP without need examination or radiology inputs. Design Setting A prospective cohort study using data from subjects aged over 12 years acute...
dysmotility symptoms score.A multivariate linear regression revealed that the mean LCQ total score was independently associated with current smoker, fibrocavitary type, bilateral cavitary lesion, and FSSG (Table 2).Conclusions: Cough-and sputum-related QOL impaired in NTM patients smoking, radiographical characteristics, comorbid GERD being cough-specific QOL.
Analysis of the National Health Insurance data has been actively carried out for purpose academic research and establishing scientific evidences health care service policy asthma.However, there a limitation accuracy extracted through conventional operational definition.Aim: To establish an definition that predicts asthma more accurately.Methods: From Jan 2017 to 2018, we patients with using in St. Paul's Hospital at Catholic University Korea.Among these, 10% were randomly sampled...
mucormycosis is an uncommon, life-threatening opportunistic fungal infection which affects immunocompromised patients such as diabetes, recipients of stem cell or organ transplant, and has worse outcomes in those with hematologic malignancy neutropenia.Methods: A 35 years old male patient uncontrolled type II Diabemellitus presented to casualty complaints cough associated thick dark brownish sputum for 1 month, fever, loss appetite weight since 15 days.His vitals were stable at the time...
ABSTRACT Background Rapid and accurate diagnosis of Chronic Obstructive Pulmonary Disease (COPD) is problematic in acute-care settings, particularly the presence infective comorbidities. Objective The aim this study was to develop a rapid, smartphone-based algorithm for detection COPD, or absence acute respiratory infection, then evaluate diagnostic accuracy on an independent validation set. Methods Subjects aged 40-75 years with without symptoms disease who had no chronic condition apart...
ABSTRACT Acute Exacerbations of Chronic Obstructive Pulmonary Disease (AECOPD) are commonly encountered in the primary care setting, though accurate and timely diagnosis is problematic. Using technology like that employed speech recognition technology, we developed a smartphone-based algorithm for rapid AECOPD. The incorporates patient-reported features (age, fever, new cough), audio data from five coughs can be deployed by novice users. We compared accuracy to expert clinical assessment. In...
<sec> <title>BACKGROUND</title> Rapid and accurate diagnosis of chronic obstructive pulmonary disease (COPD) is problematic in acute care settings, particularly the presence infective comorbidities. </sec> <title>OBJECTIVE</title> The aim this study was to develop a rapid smartphone-based algorithm for detection COPD or absence respiratory infection evaluate diagnostic accuracy on an independent validation set. <title>METHODS</title> Participants aged 40 75 years with without symptoms who...