AIMC Topic: Hypersensitivity

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Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals.

JAMA network open Nov 2, 2020
IMPORTANCE: Although critical to patient safety, health care-related allergic reactions are challenging to identify and monitor.
Boston Deep Learning ROC Curve Hypersensitivity Reproducibility of Results Aged Adult Middle Aged Diagnosis, Computer-Assisted Cross-Sectional Studies Male Algorithms Patient Safety Female Humans
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Predicting polysomnographic severity thresholds in children using machine learning.

Pediatric research May 9, 2020
BACKGROUND: Approximately 500,000 children undergo tonsillectomy and adenoidectomy (T&A) annually for treatment of obstructive sleep disordered breathing (oSDB). Although polysomnography is beneficial for preoperative risk stratification in these chi...
Oximetry Adenoidectomy Humans Female Asthma Sleep Apnea Syndromes Machine Learning Sleep Apnea, Obstructive Algorithms Monitoring, Physiologic Anthropometry Male Risk Hypersensitivity Tonsillectomy Decision Making Actigraphy Surveys and Questionnaires Polysomnography Signal Processing, Computer-Assisted Child
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Applying machine learning to forecast daily Ambrosia pollen using environmental and NEXRAD parameters.

Environmental monitoring and assessment Jun 28, 2019
Approximately 50 million Americans have allergic diseases. Airborne plant pollen is a significant trigger for several of these allergic diseases. Ambrosia (ragweed) is known for its abundant production of pollen and its potent allergic effect in Nort...
Hypersensitivity Radar Environmental Monitoring Weather Antigens, Plant Humans Machine Learning Forecasting Plant Extracts
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Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort.

PLoS medicine Nov 13, 2018
BACKGROUND: The relationship between allergic sensitisation and asthma is complex; the data about the strength of this association are conflicting. We propose that the discrepancies arise in part because allergic sensitisation may not be a single ent...
Male Risk Assessment Biomarkers England Female Data Mining Humans Child Risk Factors Hypersensitivity Allergens Machine Learning Cluster Analysis Asthma Immunoglobulin E Cross-Sectional Studies
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Resource Classification for Medical Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
We present an approach for manually and automatically classifying the resource type of medical questions. Three types of resources are considered: patient-specific, general knowledge, and research. Using this approach, an automatic question answering...
Semantics Natural Language Processing Information Seeking Behavior Humans Datasets as Topic Hypersensitivity Machine Learning Information Storage and Retrieval Algorithms
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Boosting Immunity Through Nutrition and Gut Health: A Narrative Review on Managing Allergies and Multimorbidity.

Nutrients May 15, 2025
The increasing global burden of allergic diseases and multimorbidity underscores the urgent need for innovative strategies to strengthen immune health. This review explores the complex relationships among nutrition, gut microbiota, immune regulation,...
Humans Precision Medicine Nutritional Status Diet Multimorbidity Hypersensitivity Gastrointestinal Microbiome Diet, Mediterranean Immunity
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Single-cell RNA sequencing reveals immunological link between house dust mite allergy and childhood asthma.

Scientific reports May 14, 2025
Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen. Nevertheless, the diagnostic rate remains below 60% due to the absence of specific symptoms and diagnostic markers, which hinders the implementation ...
Hypersensitivity Animals Dust Mite Allergy Male Leukocytes, Mononuclear Sequence Analysis, RNA Humans Child Allergens Female Single-Cell Analysis Pyroglyphidae Asthma Gene Expression Profiling Child, Preschool
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How Can Artificial Intelligence Help With Management of Allergic Conditions?

The journal of allergy and clinical immunology. In practice Apr 1, 2024
Humans Artificial Intelligence Hypersensitivity
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Pediatric Allergy and Immunology (PAI) is for polishing with artificial intelligence, but careful use.

Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology Sep 1, 2023
Humans Artificial Intelligence Child Hypersensitivity
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DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins.

Briefings in bioinformatics Jul 20, 2023
Allergies have become an emerging public health problem worldwide. The most effective way to prevent allergies is to find the causative allergen at the source and avoid re-exposure. However, most of the current computational methods used to identify ...
Humans Neural Networks, Computer Deep Learning Proteins Allergens Hypersensitivity
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