Identifying Cancer Characteristics Utilizing Handwriting Method
نویسندگان
چکیده
Handwriting is an action administered by the brain like each and every other action. This procedure frequently insensible closely tied to instincts from brain. Any kind of sickness affects kinetic movement reflects in a person’s handwriting. To recognize health mental problems, it important focus on how person writes instead what writes. also makes handwriting analysis independent at all languages. Person scientific proof that whatsoever subconsciously The structures related motion, time pressure have been used for health. Cancer second top cause death globally, accountable estimated 9.8 million deaths 2019. Universally, around 1 6 due cancer. On approximation 72% cancer are middle low salaried countries. One third 5 foremost dietary behavioural risks fruit vegetable intake, lack physical activity, high body mass index, tobacco use, consumption alcohol. can be cured if gets know as soon possible. So, substitute method patterned whether diagnosed or not, done sample. For this testing 100 various sample diverse data samples. find solution mounting problem we propose characteristics detection utilizing handwritten text machine learning, SVM. Various learning methods were model, which discriminate statistically patients with approximately 90%accuracy. classification use SVM, Naïve Bayes algorithms.
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ژورنال
عنوان ژورنال: Turkish Journal of Computer and Mathematics Education
سال: 2021
ISSN: ['1309-4653']
DOI: https://doi.org/10.17762/turcomat.v12i1s.1553