Title |
Allergenius, an expert system for the interpretation of allergen microarray results
|
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Published in |
World Allergy Organization Journal, June 2014
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DOI | 10.1186/1939-4551-7-15 |
Pubmed ID | |
Authors |
Giovanni Melioli, Clive Spenser, Giorgio Reggiardo, Giovanni Passalacqua, Enrico Compalati, Anthi Rogkakou, Anna Maria Riccio, Elisabetta Di Leo, Eustachio Nettis, Giorgio Walter Canonica |
Abstract |
An in vitro procedure based on a microarray containing many different allergen components has recently been introduced for use in allergy diagnosis. Recombinant and highly purified allergens belonging to different allergenic sources (inhalants, food, latex and hymenoptera) are present in the array. These components can either be genuine or cross-reactive, resistant or susceptible to heat and low pH, and innocuous or potentially dangerous. A large number of complex and heterogeneous relationships among these components has emerged, such that sometimes these interactions cannot be effectively managed by the allergist. In the 1960s, specialized languages and environments were developed to support the replacement of human experts with dedicated decision-making information systems. Currently, expert systems (ES) are advanced informatics tools that are widely used in medicine, engineering, finance and trading. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Argentina | 1 | 50% |
Taiwan | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 1 | 2% |
Italy | 1 | 2% |
Luxembourg | 1 | 2% |
Unknown | 48 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 16% |
Student > Ph. D. Student | 6 | 12% |
Student > Bachelor | 6 | 12% |
Student > Doctoral Student | 5 | 10% |
Researcher | 5 | 10% |
Other | 10 | 20% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 37% |
Engineering | 3 | 6% |
Computer Science | 3 | 6% |
Immunology and Microbiology | 3 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Other | 10 | 20% |
Unknown | 11 | 22% |