Ensemble Machine Learning Model for Detection of Amyotrophic Lateral Sclerosis

A type of motor neuron disease is called amyotrophic lateral sclerosis. Its symptoms include breathing difficulties and a lack of control over the arms and legs, and it is detected by the nerve cells in the nervous system and the spine and early medical intervention, better disease management, research advancements, clinical trial enrolment, using the Ensemble Machine Learning has significant advantages for ALS patients. It emphasizes the potential for machine learning techniques to assist in the early diagnosis of challenging disorders like ALS, which would be advantageous for the healthcare sector. Early detection of Amyotrophic Lateral Sclerosis enhancing the health and quality of life of a patient and helping patients and caregivers overcome the difficulties brought on by this terrible illness are all priorities. Although, using other Supervised learning which gives results about detection of neuron disorder, it is presumed that Ensemble Machine Learning provides better conclusions.