AIMC Topic: Asthma

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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Length of Stay Logistic Models Hypertension Support Vector Machine Male Middle Aged Comorbidity Patient Readmission Colectomy Multivariate Analysis Mortality Area Under Curve Laparoscopy Myocardial Infarction Netherlands Female Risk Factors Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Asthma Colorectal Neoplasms Humans Machine Learning Intensive Care Units
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Machine learning in asthma research: moving toward a more integrated approach.

Expert review of respiratory medicine Mar 16, 2021
: Big data are reshaping the future of medicine. The growing availability and increasing complexity of data have favored the adoption of modern analytical and computational methodologies in every area of medicine. Over the past decades, asthma resear...
Humans Asthma Machine Learning
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Personalized prediction of early childhood asthma persistence: A machine learning approach.

PloS one Mar 1, 2021
Early childhood asthma diagnosis is common; however, many children diagnosed before age 5 experience symptom resolution and it remains difficult to identify individuals whose symptoms will persist. Our objective was to develop machine learning models...
Child, Preschool Rhinitis, Allergic Probability Eczema Machine Learning Prognosis Electronic Health Records Asthma Humans
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Asthma-prone areas modeling using a machine learning model.

Scientific reports Jan 21, 2021
Nowadays, owing to population growth, increasing environmental pollution, and lifestyle changes, the number of asthmatics has significantly increased. Therefore, the purpose of our study was to determine the asthma-prone areas in Tehran, Iran conside...
Humidity Nitrogen Dioxide Sulfur Dioxide Humans Machine Learning Female Air Pollution Ozone Particulate Matter Environmental Exposure Iran Carbon Monoxide Vehicle Emissions Adolescent Child Environmental Monitoring Temperature Air Pollutants Asthma Male
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Novel Machine Learning Can Predict Acute Asthma Exacerbation.

Chest Jan 10, 2021
BACKGROUND: Asthma exacerbations result in significant health and economic burden, but are difficult to predict.
Predictive Value of Tests Symptom Flare Up Ohio Aged Aged, 80 and over Adult Asthma Male Middle Aged Adolescent Humans Machine Learning Electronic Health Records Female
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Performance improvement of machine learning techniques predicting the association of exacerbation of peak expiratory flow ratio with short term exposure level to indoor air quality using adult asthmatics clustered data.

PloS one Jan 7, 2021
Large-scale data sources, remote sensing technologies, and superior computing power have tremendously benefitted to environmental health study. Recently, various machine-learning algorithms were introduced to provide mechanistic insights about the he...
Humans Machine Learning Female Aged Middle Aged Time Factors Air Pollution, Indoor Environmental Exposure Adult Asthma Male Peak Expiratory Flow Rate
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Social robots and therapeutic adherence: A new challenge in pediatric asthma?

Paediatric respiratory reviews Dec 5, 2020
Social Robots are used in different contexts and, in healthcare, they are better known as Socially Assistive Robots. In the context of asthma, the use of Socially Assistive Robots has the potential to increase motivation and engagement to treatment. ...
Humans Asthma Child Treatment Adherence and Compliance Robotics Social Interaction
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Parents' views on artificial intelligence for the daily management of childhood asthma: a survey.

The journal of allergy and clinical immunology. In practice Dec 5, 2020
Humans Surveys and Questionnaires Artificial Intelligence Parents Asthma
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Artificial intelligence techniques in asthma: a systematic review and critical appraisal of the existing literature.

The European respiratory journal Sep 3, 2020
Artificial intelligence (AI) when coupled with large amounts of well characterised data can yield models that are expected to facilitate clinical practice and contribute to the delivery of better care, especially in chronic diseases such as asthma.Th...
Asthma Mass Screening Humans Artificial Intelligence
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Detecting asthma exacerbations using daily home monitoring and machine learning.

The Journal of asthma : official journal of the Association for the Care of Asthma Aug 14, 2020
OBJECTIVE: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to improved outcomes. We aimed to develop a machine learning algorithm to d...
Terbutaline Severity of Illness Index Drug Combinations Monitoring, Physiologic Budesonide Asthma Bronchodilator Agents Male Humans Formoterol Fumarate Middle Aged Machine Learning Home Care Services Disease Progression Female
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