Forecast and Analysis of Alzheimer sickness utilizing customary methods using Machine Learning

  • Mrs. Asha G, Mr. Deepak D M, Mr. Mohan Gowda V, Mrs. Sneha Sureddy, Mr. Akshay C Hangaragi

Abstract

Alzheimer malady (promotion) usually called as a memory losing disease,[1] which is brought about by dementia, answerable for 60-70% everything being equal. In worldwide populace about over 1% of individuals matured between 60-64 years of age persistence and around 20-40% of individuals matured between 85-90% are being determined to have the condition. In any case, around 40-54% of the two sexes can get the best possible diagnosis(treatment) because of the expense for the treatment and its costs , in light of the fact that lion's share of the populace don't have the foggiest idea about that Alzheimer can be treated with the assistance of customary strategies as well ,which may require significant investment yet it will be increasingly compelling and reparable and convention Ayurveda strategy don't as reactions like current treatment ,so as to diminish the proportion of affliction and to nil the malady bit by bit we will execute "present day advances for early anticipating the infection and utilizing old philosophy to fix the illness ".          

Published
2020-05-25
How to Cite
Mrs. Asha G, Mr. Deepak D M, Mr. Mohan Gowda V, Mrs. Sneha Sureddy, Mr. Akshay C Hangaragi. (2020). Forecast and Analysis of Alzheimer sickness utilizing customary methods using Machine Learning. International Journal of Advanced Science and Technology, 29(05), 7230-7248. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/18218