Remote health diagnosis and monitoring in the time of COVID-19
Abstract Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of …
coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of …
The future of dry powder inhaled therapy: Promising or discouraging for systemic disorders?
Dry powder inhalation therapy has been shown to be an effective method for treating
respiratory diseases like asthma, Chronic Obstructive Pulmonary Diseases and Cystic …
respiratory diseases like asthma, Chronic Obstructive Pulmonary Diseases and Cystic …
[HTML][HTML] The role of inspiratory flow in selection and use of inhaled therapy for patients with chronic obstructive pulmonary disease
DA Mahler - Respiratory Medicine, 2020 - Elsevier
Inhalation therapy is the mainstay of chronic obstructive pulmonary disease management,
and inhaler selection can have a profound impact on drug delivery and medication …
and inhaler selection can have a profound impact on drug delivery and medication …
Personalized biofeedback on inhaler adherence and technique by community pharmacists: a cluster randomized clinical trial
S O'Dwyer, G Greene, E MacHale, B Cushen… - The Journal of Allergy …, 2020 - Elsevier
Background Guidelines recommend that patients treated with inhalers receive adherence
counseling and device training. Digital technologies that assess both inhaler adherence and …
counseling and device training. Digital technologies that assess both inhaler adherence and …
[HTML][HTML] Medication adherence among patients with chronic obstructive pulmonary disease treated in a primary general hospital during the COVID-19 pandemic
HQ Zhang, JY Lin, Y Guo, S Pang, R Jiang… - Annals of …, 2020 - ncbi.nlm.nih.gov
Background The objective of this study was to investigate medication adherence and the
associated influencing factors in patients with chronic obstructive pulmonary disease …
associated influencing factors in patients with chronic obstructive pulmonary disease …
Adherence to inhaled medications and its effect on healthcare utilization and costs among high-grade chronic obstructive pulmonary disease patients
JA Kim, MK Lim, K Kim, JH Park, CK Rhee - Clinical Drug Investigation, 2018 - Springer
Background Adherence to inhaled medication regimens affects chronic obstructive
pulmonary disease (COPD) prognosis and quality of life, and reduces the use of healthcare …
pulmonary disease (COPD) prognosis and quality of life, and reduces the use of healthcare …
Measuring adherence to therapy in airways disease
J Holmes, LG Heaney - Breathe, 2021 - Eur Respiratory Soc
Non-adherence to medication is one of the most significant issues in all airways disease and
can have a major impact on disease control as well as on unscheduled healthcare …
can have a major impact on disease control as well as on unscheduled healthcare …
Exploring validated self-reported instruments to assess adherence to medications used: a review comparing existing instruments
RI Nassar, IA Basheti, B Saini - Patient preference and adherence, 2022 - Taylor & Francis
Objective To provide an overview of instruments that measure adherence to medications to
facilitate selection of an instrument and to provide a summary of some published adherence …
facilitate selection of an instrument and to provide a summary of some published adherence …
Measuring and reporting treatment adherence: What can we learn by comparing two respiratory conditions?
Medication non‐adherence, defined as any deviation from the regimen recommended by
their healthcare provider, can increase morbidity, mortality and side effects, while reducing …
their healthcare provider, can increase morbidity, mortality and side effects, while reducing …
Deep representation learning techniques for audio signal processing
S Amiriparian - 2019 - mediatum.ub.tum.de
This thesis investigates the potential of deep neural networks for representations learning
from audio signals. Novel deep learning models based on convolutional and recurrent …
from audio signals. Novel deep learning models based on convolutional and recurrent …