A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data [PDF]
arXiv, 2021 COVID-19 clinical presentation and prognosis are highly variable, ranging from asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi-organ involvement. We developed a hybrid machine learning/deep learning model to classify patients in two outcome categories, non-ICU and ICU (intensive care admission or death), using ...
arxiv
The acute respiratory distress syndrome [PDF]
Baylor University Medical Center Proceedings, 2015 The acute respiratory distress syndrome (ARDS) is a major cause of acute respiratory failure. Its development leads to high rates of mortality, as well as short- and long-term complications, such as physical and cognitive impairment. Therefore, early recognition of this syndrome and application of demonstrated therapeutic interventions are essential to
Christopher Wood +2 more
openaire +5 more sources
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework [PDF]
arXiv, 2021 Acute respiratory distress syndrome (ARDS) is a life-threatening condition that is often undiagnosed or diagnosed late. ARDS is especially prominent in those infected with COVID-19. We explore the automatic identification of ARDS indicators and confounding factors in free-text chest radiograph reports.
arxiv
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS [PDF]
arXiv, 2020 The world has been affected by COVID-19 coronavirus. At the time of this study, the number of infected people in the United States is the highest globally (7.9 million infections). Within the infected population, patients diagnosed with acute respiratory distress syndrome (ARDS) are in more life-threatening circumstances, resulting in severe ...
arxiv
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning [PDF]
arXiv, 2020 Respiratory complications due to coronavirus disease COVID-19 have claimed tens of thousands of lives in 2020. Many cases of COVID-19 escalate from Severe Acute Respiratory Syndrome (SARS-CoV-2) to viral pneumonia to acute respiratory distress syndrome (ARDS) to death.
arxiv
Plasmon-enhanced circular dichroism spectroscopy of chiral drug solutions [PDF]
arXiv, 2023 We investigate the potential of surface plasmon polaritons at noble metal interfaces for surface-enhanced chiroptical sensing of dilute chiral drug solutions. The high quality factor of surface plasmon resonances in both Otto and Kretschmann configurations enables the enhancement of circular dichroism differenatial absorption thanks to the large near ...
arxiv
Acute Respiratory Distress Syndrome
Jurnal Respirasi, 2018 Acute respiratory distress syndrome (ARDS) is a syndrome, a combination of clinical and physiological observations that describe a pathological state. The pathogenesis of ARDS is not completely clear and there is no gold standard for diagnosis.
Arief Bakhtiar, Rena Arusita Maranatha
doaj +1 more source
An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images [PDF]
arXiv, 2021 Over the last few decades, Lung Ultrasound (LUS) has been increasingly used to diagnose and monitor different lung diseases in neonates. It is a non invasive tool that allows a fast bedside examination while minimally handling the neonate. Acquiring a LUS scan is easy, but understanding the artifacts concerned with each respiratory disease is ...
arxiv
Quantification of Alveolar Recruitment for the Optimization of Mechanical Ventilation using Quasi-static Pressure Volume Curve [PDF]
arXiv, 2018 Quasi-static, pulmonary pressure-volume (P-V) curves over an inflation-deflation cycle are analyzed using a respiratory system model (RSM), which had been developed for quantitative characterization of the mechanical behavior of the total respiratory system.
arxiv
An approach to study recruitment/derecruitment dynamics in a patient-specific computational model of an injured human lung [PDF]
arXiv, 2022 We present a new approach for physics-based computational modeling of diseased human lungs. Our main object is the development of a model that takes the novel step of incorporating the dynamics of airway recruitment/de-recruitment into an anatomically accurate, spatially resolved model of respiratory system mechanics, and the relation of these dynamics
arxiv