Titlebook: Intelligent Systems; Proceedings of 3rd I Siba K. Udgata,Srinivas Sethi,Xiao-Zhi Gao Conference proceedings 2024 The Editor(s) (if applicab

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Patient Satisfaction Through Interpretable Machine Learning Approach,ecisions. An individual’s specific health requirements, individualised treatment, and desired health results are of the utmost importance in the period of patient-centered care. Across the past decade, treatment delivery, management, and reimbursement practices have all been impacted by patient sati

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Predicting the Thyroid Disease Using Machine Learning Techniques,may be produced insufficiently or excessively as a result of its potential malfunction. There are various thyroid types including Hyperthyroidism, Hypothyroidism, Thyroid Cancer Thyroiditis, swelling of the thyroid. A goiter is an enlarged thyroid gland. When your thyroid gland produces more thyroid

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An Automatic Traffic Sign Recognition and Classification Model Using Neural Networks, researchers. To accomplish their assessment, specialists employed Artificial Intelligence, deep learning, and image processing tools. Convolutional Neural Networks (CNN) are deep learning-based designs that have sparked a new and ongoing research into traffic symbol classifications and recognition

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Japanese Encephalitis Symptom Prediction Using Machine Learning Algorithm, occurring of JEV. Research says that Japanese Encephalitis is a flavivirus related to West Nile Virus, Yellow Fever and Dengue and it is escalated by mosquitoes. Japanese Encephalitis is although rare, but the fatality rate is around 30%. Till now there is no cure for JEV, the entire treatment is f

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Smart Skin-Proto: A Mobile Skin Disorders Recognizer Model,stems that mainly includes the use of mobile health technology which is quite efficient. Moreover, this field is slightly shifting and also indicating interest towards the smart and intelligent models as there are quite a lot of benefits associated with it like cost decrement, easy to understand and

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