Research Article
[Retracted] A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach
| (1) | Initialize input IoT sensors value | | (2) | Store the image value and send it for computation | | (3) | if (Indicated images = database) | | (4) | Then move to image comparison | | (5) | Update the values of and q | | (6) | if (Indicated images = IoT indicated) | | (7) | Then move to data validation module | | (8) | if (data validation >80%) | | (9) | Then declare type 4 tumor | | (10) | else if (data validation 79% and 60%) | | (11) | Then declare type 3 tumor | | (12) | else if (data validation 59% and 40%) | | (13) | Then declare type 2 tumor | | (14) | else declare type 1 tumor | | (15) | else go to step 1 | | (16) | else go to step 2 | | (17) | end |
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