Modern machine learning approaches on self- medication practices
Keywords:
Logistic, SVM-RBF Kernel, self-medications, SVM-Poly Kernel, knowledge, SVM-Normalized Poly Kernel, SVM-PUK Kernel, occurrence and attitudeAbstract
Self medication is a self care practice, in which anseparate takes medicines on own without proper knowledge of medication. The most frequent disease for self medication are fever, headache, cough, cold etc., Self medication not only means purchasing non-prescribed drugs but also refers to self medicating oneself over food or other substances like caffeine and alcohol. This study was assumed to regulate the details for self-medication and the pattern of self-medication amongst medical, engineering and arts students. To implement machine learning techniques self medication practices among medical and non medical students in South India. The current study was a cross-sectional study which was showed for a period of one year between patients hospitalized at RVSIMS Chittoor, Andhra Pradesh. Sample size taken was 744 and the sample size was collected by google forms. Data was composed using a consistentsurvey. Data entered in MS Excel and analyzed using Weka 3.8.3 and results interpreted. The machine learning algorithm recommends that a novel approaches of self medicine practices among medical and non medical students in South India. The present study was conducted to discover knowledge, occurrence and attitude of self medicine among medical and nonmedical students of RVSIMS Chittoor, Andhra Pradesh.
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