Drug Analysis System Using Machine Learning Algorithms

Drug Analysis System Using Machine Learning Algorithms

SINCHANA S1, MUTYALA SRIDEVI2

Department Of Masters Of Computer Application, BMS Institute Of Technology And Management

,Bangalore, Karnataka, India

Department Of Masters Of Computer Application, BMS Institute Of Technology And

Management, Bangalore, Karnataka, India

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Abstract— Internet-based healthcare communities persist in providing an extensive array of valuable medical insights, serving medical professionals, system administrators, and patients alike. Our approach involves the real-time compilation of health-related posts from reputable online sources, where patients share their perspectives, encompassing their encounters and potential drug side-effects. We intend to execute user post summarization on a per-drug basis, facilitating succinct findings accessible to both the medical community and patient cohort instantaneously. Further, we propose to classify the users based on their `emotional state of mind'. Furthermore, our methodology encompasses knowledge exploration within user-generated content, facilitating the identification of valuable 'patterns' pertaining to the interconnected 'drugs-symptoms-medicine' triad through the application of Association Learning techniques.

Index Terms: Online Health Communities, Drug Summarization, Emotional User Classification, Association Learning.