Seizure Prediction using Machine Learning

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Abstract

An Extensive Review Abstract Seizures are abrupt, unplanned, pathological discharges that are beyond voluntary control and lead to a sequence of disabling signs, including convulsions, temporary unconsciousness, and other neurological symptoms. For those who have epilepsy, as well as for their family members, caregivers, and medical professionals who provide their care, the unpredictable nature of seizures poses serious and intimidating obstacles. Positive outcomes have been attained through the utilization of cutting-edge features and ML algorithms in order to advance the current level of practice in seizure prediction research. to serve the greater benefit of improved general quality of living in patients who suffer through seizures by providing timely avoidance.

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APA

Deepak, N. R., Ahamed, P. S., Mulla, B. Z., Harshitha, B., Khanum, N., & Thanushri, R. (2025). Seizure Prediction using Machine Learning. In 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025 (Vol. 2, pp. 4296–4301). Grenze Scientific Society.

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