ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations [PDF]
arXiv, 2022 Early diagnosis of disease can lead to improved health outcomes, including higher survival rates and lower treatment costs. With the massive amount of information available in electronic health records (EHRs), there is great potential to use machine learning (ML) methods to model disease progression aimed at early prediction of disease onset and other ...
arxiv
Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI
2019), 2019 The identification of pulmonary lobes is of great importance in disease diagnosis and treatment. A few lung diseases have regional disorders at lobar level. Thus, an accurate segmentation of pulmonary lobes is necessary. In this work, we propose an automated segmentation of pulmonary lobes using coordination-guided deep neural networks from chest CT ...
arxiv +1 more source
Hemodynamic phenotyping of pulmonary hypertension in left heart failure [PDF]
, 2017 Increased pulmonary venous pressure secondary to left heart disease is the most common cause of pulmonary hypertension (PH). The diagnosis of PH due to left heart disease relies on a clinical probability assessment followed by the invasive measurements ...
Caravita, Sergio
core +1 more source
Pulmonary hypertension in adolescents with sickle cell disease [PDF]
, 2016 Sickle cell disease consists of a group of disorders that have a similar mutation in at least one of the beta-globin chains of hemoglobin. This results in a change of the hemoglobin to sickle shaped cells when in the deoxygenated state.
Akinyemi, Katherine
core +1 more source
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset [PDF]
arXiv, 2023 Accurate segmentation of pulmonary airways and vessels is crucial for the diagnosis and treatment of pulmonary diseases. However, current deep learning approaches suffer from disconnectivity issues that hinder their clinical usefulness. To address this challenge, we propose a post-processing approach that leverages a data-driven method to repair the ...
arxiv
Group sequential designs for negative binomial outcomes [PDF]
Statistical Methods in Medical Research, 2018,
https://journals.sagepub.com/doi/abs/10.1177/0962280218773115, 2017 Count data and recurrent events in clinical trials, such as the number of lesions in magnetic resonance imaging in multiple sclerosis, the number of relapses in multiple sclerosis, the number of hospitalizations in heart failure, and the number of exacerbations in asthma or in chronic obstructive pulmonary disease (COPD) are often modeled by negative ...
arxiv +1 more source
The adult with congenital heart disease: Cardiac catheterization as a therapeutic intervention [PDF]
, 1991 The adult with congenital heart disease who undergoes cardiac catheterization at the present time is most likely to have complex heart disease and is left with clinically important sequelae or residual defects, ventricular dysfunction or arrhythmias ...
Lock, James E.
core +1 more source
Clinical Features and Multimodality Diagnostic Tools of Pulmonary Hypertension [PDF]
Pulmonary hypertension (PH) is characterized by an increase in mean pulmonary artery pressure (mPAP) above normal, which is > 20 mmHg and an increase in pulmonary vascular resistance (pulmonary vascular resistance / PVR) above normal, in resting ...
Galuh, Lukitasari Ayu +3 more
core +2 more sources
Emerging hemodynamic signatures of the right heart (Third International Right Heart Failure Summit, part 2) [PDF]
, 2015 Despite the importance of preserved right ventricular structure and function with respect to outcome across the spectrum of lung, cardiac, and pulmonary vascular diseases, only recently have organized efforts developed to consider the pulmonary vascular ...
Maron, Bradley A.
core +1 more source
Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis [PDF]
arXiv, 2023 Chronic Obstructive Pulmonary Disease (COPD) is an irreversible airway obstruction with a high societal burden. Although smoking is known to be the biggest risk factor, additional components need to be considered. In this study, we aim to identify COPD risk factors by applying machine learning models that integrate sociodemographic, clinical, and ...
arxiv