
Analysis of brain tumour MRI with stress level using frequency analysis
Author(s) -
S. Rani,
D. Gladis
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns3.6197
Subject(s) - stress (linguistics) , computer science , domain (mathematical analysis) , mode (computer interface) , work (physics) , data science , artificial intelligence , mathematics , engineering , human–computer interaction , mathematical analysis , philosophy , linguistics , mechanical engineering
The Computing science applied to determine the solutions for medical, science and business domain. The Data mining techniques used to identify the features and applied to solve the challenging issues in the domains. This work attempted to fetch the draw brain MRI and converted to computable format. The converted images are used form the frequent wave and classified based on the mode. The relationship between the stress level and affected brain neuron activeness relationship identified and presented as part of the paper . The result shows that the highly affected neurons stress levels are high.