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Asthma

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Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance.

PloS one Apr 23, 2020
Incorporating expert knowledge at the time machine learning models are trained holds promise for producing models that are easier to interpret. The main objectives of this study were to use a feature engineering approach to incorporate clinical exper...
Health Knowledge, Attitudes, Practice Machine Learning Prognosis Asthma Humans
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Deep learning approaches for sleep disorder prediction in an asthma cohort.

The Journal of asthma : official journal of the Association for the Care of Asthma Mar 18, 2020
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore, sleep disturbance may lead to fatigue and lower productivity. This study examined 1 million samples included in the Taiwan National Health Insurance ...
Young Adult Adult Asthma Male Middle Aged Humans Artificial Intelligence Female Child Nerve Tissue Proteins Predictive Value of Tests DNA-Binding Proteins Sleep Wake Disorders Infant Deep Learning Adolescent Child, Preschool
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data.

PloS one Dec 30, 2019
'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. Research to understand these phenotypes has previously been based on longitudinal wheeze patterns or hypothesis-driven observational criteria. The aim ...
Twins Male Humans Female Machine Learning Medical History Taking Diseases in Twins Regression Analysis Severity of Illness Index Data Analysis Leukocyte Count Sweden Adolescent Eosinophils Biomarkers Respiratory Sounds Risk Factors Child Asthma
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The doctor will see you now: How machine learning and artificial intelligence can extend our understanding and treatment of asthma.

The Journal of allergy and clinical immunology Dec 25, 2019
Humans Machine Learning Physicians Immunologic Techniques Asthma Allergy and Immunology
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Machine learning approach to single nucleotide polymorphism-based asthma prediction.

PloS one Dec 4, 2019
Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the hidden biological interactions for better prediction and diagnosis of complex diseases. In this work, we integrated ML-based models for feature selecti...
Asthma ROC Curve Polymorphism, Single Nucleotide Models, Theoretical Support Vector Machine Humans Machine Learning
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Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma.

BMC medical informatics and decision making Nov 8, 2019
BACKGROUND: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models have achieved state-of-the-a...
Humans Algorithms Prognosis Electronic Health Records Clinical Decision-Making Child Logistic Models Predictive Value of Tests Asthma Risk Assessment Deep Learning Child, Preschool
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A comparative study of machine learning classifiers for risk prediction of asthma disease.

Photodiagnosis and photodynamic therapy Oct 12, 2019
Asthma is a chronic disease characterized by wheezing, chest tightening and difficulty in breathing due to inflammation of lung airways. Early risk prediction of asthma is crucial for proper and effective management. This study presents the use of ma...
Aged Adult Asthma Male Middle Aged Humans Neural Networks, Computer Machine Learning Female Case-Control Studies Spectrum Analysis, Raman Support Vector Machine Predictive Value of Tests
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Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis.

The Journal of asthma : official journal of the Association for the Care of Asthma Jul 26, 2019
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and allied-conditions (COPDAC) using a multi domain analysis of socio-ecological, clinical, and demographic domains. This is a retrospective case-risk-co...
Case-Control Studies Big Data ROC Curve Socioeconomic Factors Early Diagnosis Administrative Claims, Healthcare Florida Longitudinal Studies Models, Biological Asthma Male Middle Aged Risk Assessment Humans Retrospective Studies Machine Learning Female Risk Factors Adult
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Image Processing, Computer-Assisted Inflammation Magnetic Resonance Imaging Solitary Pulmonary Nodule Smoking Respiration Signal-To-Noise Ratio Tuberculosis, Pulmonary Healthy Volunteers Middle Aged Lung Deep Learning Retrospective Studies Imaging, Three-Dimensional Humans Reproducibility of Results Female Adult Algorithms Aged Pulmonary Disease, Chronic Obstructive Prospective Studies Young Adult Asthma Male Bronchiectasis Fourier Analysis Protons Xenon Isotopes
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Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model.

BMJ open Jul 9, 2019
INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') which can be unpredictable and may prove fatal. Models predicting asthma attacks require high sensitivity to minimise mortality risk, and high specificit...
Primary Health Care Support Vector Machine Emergency Service, Hospital Bayes Theorem Clinical Decision Rules Humans Symptom Flare Up Machine Learning Scotland Hospitalization Asthma Risk Assessment
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