Article

Application of a Novel Machine Learning Method to Big Data Infers a Relationship Between Asthma and the Development of Neoplasia

2018-10-11

Abstract excerpt

<h4>Background</h4> A relationship between asthma and the risk of having cancer has been identified in several studies. However, these studies have used different methodologies, been primarily cross-sectional in nature, and the results have been contradictory. Population-level analyses are required to determine if a relationship truly exists. <h4>Methods</h4> We developed a novel machine learning tool to infer a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e54fc48a-18f8-5d33-8860-5dcdcd907c53
DOI: 10.1101/439117

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Application of a Novel Machine Learning Method to Big Data Infers a Relationship Between Asthma and the Development of NeoplasiaDOI 10.1101/439117Read

Pediatric and adult asthma clinical phenotypes: a real world, big data study based on acute exacerbations.Semantic proximity Read

Disaggregating asthma: Big investigation versus big data.Semantic proximity Read

Burden of Asthma in Europe from 1990 to 2021: A Sub-analysis of the Global Burden of Disease StudySemantic proximity Read

Machine learning: A modern approach to pediatric asthma.Semantic proximity Read

A database for lung cancer prediction models - a Danish cohort study of nearly 40,000 patientsSemantic proximity Read

Association of asthma and lung cancer risk: A pool of cohort studies and Mendelian randomization analysis.Semantic proximity Read

Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data.Semantic proximity Read

Asthma in electronic health records : validity and phenotypingSemantic proximity Read

Gene expression profiling to find biomarkers determining the lung diseases using 63 children’s genomic data for 354 genesSemantic proximity Read

Revolutionizing Lung Cancer Detection: Evaluating AI Models for VOC Analysis and Unveiling Key Exhaled BiomarkersSemantic proximity Read

An Approach for Open Multivariate Analysis of Integrated Clinical and Environmental Exposures DataSemantic proximity Read

Predicting Chronic Obstructive Pulmonary Disease (COPD) Diagnosis Using Primary Care Variables and Machine Learning AlgorithmsSemantic proximity Read