
Analysing Food Allergy Dataset to Predict Different Types of Allergies
Author(s) -
B. Sowmiya,
Rahul Ramaswamy,
Tanmai Shukla
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1362/1/012010
Subject(s) - allergy , food allergy , environmental health , medicine , immunology
To analyse allergy dataset and find which food item contains allergy causing chemicals. Nourishment hypersensitivities have dependably been a general medical issue yet are winding up more applicable around the world. There are a few chemicals which are present in different food items causing a particular kind of allergy. The main idea of the paper is to analyse those food items and put them into different groups based on the allergy being caused, which can help people choose which food item to avoid easily. With no fix accessible, individuals experiencing food allergies need to entirely maintain a strategic distance from real allergens, for example, eggs, shellfish, nuts, wheat, and soybeans. That is on the grounds that even somewhat undesirable or unfavorably susceptible substance can cause serious indications in a few people, possibly prompting hypersensitivity and death. The paper aims to survey on the above mentioned problems.