Latest AI and machine learning research in atopy for healthcare professionals.
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and...
INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') whi...
In this study, we found that machine learning was able to effectively estimate student learning outc...
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obst...
Class imbalance is a challenging problem in many classification tasks. It induces biased classificat...
BACKGROUND: We explored whether the use of deep learning to model combinations of symptom-physical s...
Approximately 300 million people are afflicted with asthma around the world, with the estimated deat...
OBJECTIVES: Manual clinical scoring systems are the current standard used for acute asthma clinical ...
Patient classification has widespread biomedical and clinical applications, including diagnosis, pro...
Nociceptin/Orphanin FQ (N/OFQ) is a neuropeptide that modulates pain transmission, learning/memory, ...
BACKGROUND: The DNase I hypersensitive sites (DHSs) are associated with the cis-regulatory DNA eleme...
Bacteremia secondary to methicillin-resistant Staphylococcus aureus (MRSA) is a dreaded medical cond...
Atopic dermatitis (AD) is a complex multifactorial inflammatory skin disease that affects ~280 milli...
Eosinophilic esophagitis (EoE) is a chronic immune-mediated disease isolated to the esophagus Food a...
OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospita...
BACKGROUND: L-asparaginase (L-asp) remains one of the key components of acute lymphoblastic leukemia...
The review aims at providing current state of evidence in the field of medicine with fuzzy logic for...
Immunochemical detection of food allergens is usually based on the use of polyclonal or monoclonal i...
BACKGROUND: The relationship between allergic sensitisation and asthma is complex; the data about th...
We investigated whether machine learning methods could potentially identify a subgroup of persons wi...
The importance of social components of health has been emphasized both in epidemiology and public he...