Atopy

Automated chart review utilizing natural language processing algorithm for asthma predictive index.

BACKGROUND: Thus far, no algorithms have been developed to automatically extract patients who meet Asthma Predictive Index (API) criteria from the Electronic health records (EHR) yet. Our objective is to develop and validate a natural language processing (NLP) algorithm to identify patients that meet API criteria.

Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical condition that combines features of those two diseases, and that is difficult to define due to the lack of understanding of the underlying mechanisms. Determining systemic mediators may help clarify the nature of inflammation in patients with ACO.

Ascertainment of asthma prognosis using natural language processing from electronic medical records.

NLP algorithm successfully determined asthma prognosis (i.e., no remission, long-term remission, and intermittent remission) by taking into account as...

Dew point temperature affects ascospore release of allergenic genus Leptosphaeria.

The genus Leptosphaeria contains numerous fungi that cause the symptoms of asthma and also parasitize wild and crop plants. In search of a robust and ...

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the development of non-melanoma skin cancer (NMSC). The ...

Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation.

In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes ar...

Exhaled breath condensate metabolome clusters for endotype discovery in asthma.

BACKGROUND: Asthma is a complex, heterogeneous disorder with similar presenting symptoms but with varying underlying pathologies. Exhaled breath conde...

An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning.

BACKGROUND: Diagnostic evaluation of eosinophilic esophagitis (EoE) remains difficult, particularly the assessment of the patient's allergic status.

Efficacy and safety of lebrikizumab in adult patients with mild-to-moderate asthma not receiving inhaled corticosteroids.

BACKGROUND: Asthma is a heterogeneous and complex disease in both its clinical course and response to treatment. IL-13 is central to Type 2 inflammati...

DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.

DNase I hypersensitive sites (DHSs) are genomic regions that provide important information regarding the presence of transcriptional regulatory elemen...

Evaluation of Aristolochia indica L. and Piper nigrum L. methanol extract against centipede Scolopendra moristans L. using Wistar albino rats and screening of bioactive compounds by high pressure liquid chromatography: a polyherbal formulation.

The present study was aimed to explore the anti-venom activity of Aristolochia indica and Piper nigrum plants against the centipede (Scolopendra moris...

Collaborative targeted learning using regression shrinkage.

Causal inference practitioners are routinely presented with the challenge of model selection and, in particular, reducing the size of the covariate se...

Regulating effect of glycyrrhetinic acid on bronchial asthma smooth muscle proliferation and apoptosis as well as inflammatory factor expression through ERK1/2 signaling pathway.

OBJECTIVE: To study the influence of glycyrrhetinic acid (GA) on bronchial asthma (BA) smooth muscle proliferation and apoptosis as well as inflammato...

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Healthcare as we know it is in the process of going through a massive change - from episodic to continuous, from disease focused to wellness and quali...

Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis.

Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening metho...

Diagnosing asthma and chronic obstructive pulmonary disease with machine learning.

This study examines the clinical decision support systems in healthcare, in particular about the prevention, diagnosis and treatment of respiratory di...

Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.

OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Camp...

Natural Language Processing for Asthma Ascertainment in Different Practice Settings.

BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based on predetermined asthma criteria (PAC) for asthma ...

pDHS-SVM: A prediction method for plant DNase I hypersensitive sites based on support vector machine.

DNase I hypersensitive sites (DHSs) are accessible chromatin regions hypersensitive to cleavages by DNase I endonucleases. DHSs are indicative of cis-...

Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.

Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect the lives of people by limiting their activities ...