AIMC Topic: Asthma

Clear Filters Showing 61 to 70 of 167 articles

Effect Evaluation of Electronic Health PDCA Nursing in Treatment of Childhood Asthma with Artificial Intelligence.

Journal of healthcare engineering Mar 28, 2022
Asthma in children has a long duration and is prone to recurring attacks. Children will feel chest tightness, shortness of breath, cough, and difficulty breathing when they are onset, which has a serious impact on their health. Clinical nursing is of...
Child Electronics Algorithms Asthma Humans Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study.

International journal of environmental research and public health Jan 22, 2022
Continuity of care (COC) has been shown to possess numerous health benefits for chronic diseases. Specifically, the establishment of its level can facilitate clinical decision-making and enhanced allocation of healthcare resources. However, the use o...
Humans Adult Asthma Continuity of Patient Care Machine Learning Forecasting Retrospective Studies
View on PubMed DOI

Evaluation of Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Based on CT Features of Deep Learning.

Computational and mathematical methods in medicine Dec 21, 2021
This study was aimed at exploring the treatment of asthma children with small airway obstruction in CT imaging features of deep learning and glucocorticoid. A total of 145 patients meeting the requirements in hospital were included in this study, and...
Airway Obstruction Fractional Exhaled Nitric Oxide Testing Child Computational Biology Tomography, X-Ray Computed Female Asthma Deep Learning Humans Adolescent Algorithms Child, Preschool Male Glucocorticoids Lung
View on PubMed DOI

Predictive models for personalized asthma attacks based on patient's biosignals and environmental factors: a systematic review.

BMC medical informatics and decision making Dec 9, 2021
BACKGROUND: Asthma is a chronic disease that exacerbates due to various risk factors, including the patient's biosignals and environmental conditions. It is affecting on average 7% of the world population. Preventing an asthma attack is the main chal...
Machine Learning Humans Asthma Risk Factors Child Adult Support Vector Machine
View on PubMed DOI

Identification of asthma control factor in clinical notes using a hybrid deep learning model.

BMC medical informatics and decision making Nov 9, 2021
BACKGROUND: There are significant variabilities in guideline-concordant documentation in asthma care. However, assessing clinician's documentation is not feasible using only structured data but requires labor-intensive chart review of electronic heal...
Deep Learning Natural Language Processing Electronic Health Records Asthma Humans Algorithms
View on PubMed DOI

Machine learning implicates the IL-18 signaling axis in severe asthma.

JCI insight Nov 8, 2021
Asthma is a common disease with profoundly variable natural history and patient morbidity. Heterogeneity has long been appreciated, and much work has focused on identifying subgroups of patients with similar pathobiological underpinnings. Previous st...
Humans Asthma Male Case-Control Studies Machine Learning Female Adult Interleukin-18
View on PubMed DOI

Deep Learning Algorithms-Based CT Images in Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction.

Journal of healthcare engineering Oct 21, 2021
CT image information data under deep learning algorithms was adopted to evaluate small airway function and analyze the clinical efficacy of different glucocorticoid administration ways in asthmatic children with small airway obstruction. The Res-NET ...
Algorithms Humans Airway Obstruction Glucocorticoids Tomography, X-Ray Computed Asthma Deep Learning Child
View on PubMed DOI

DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Identifying the microbe-disease associations is conducive to understanding the pathogenesis of disease from the perspective of microbe. In this paper, we propose a deep matrix factorization prediction model (DMFMDA) based on deep neural network. Firs...
Computational Biology Bayes Theorem Colonic Neoplasms Host-Pathogen Interactions Inflammatory Bowel Diseases Asthma Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial.

PloS one Aug 2, 2021
RATIONALE: Clinical decision support (CDS) tools leveraging electronic health records (EHRs) have been an approach for addressing challenges in asthma care but remain under-studied through clinical trials.
Asthma Artificial Intelligence Male Electronic Health Records Adolescent Humans Female Child, Preschool Child Decision Support Systems, Clinical
View on PubMed DOI

Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.

Methods of information in medicine Jul 14, 2021
OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including variations in symptoms and temporal criteria. The disease can be difficult for clinicians to diagnose accurately. Properly identifying asthma patients fr...
Adolescent Child, Preschool Child Phenotype Natural Language Processing Electronic Health Records International Classification of Diseases Humans Asthma Algorithms
View on PubMed DOI
Popular Topics
Recent Journals