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Webinar on Predicting Disease Using Machine Learning Algorithm

Now-a-days, people face various diseases due to the environmental condition and their living habits. So the prediction of disease at earlier stage becomes important task. But the accurate prediction on the basis of symptoms becomes too difficult for doctor. The correct prediction of disease is the most challenging task. To overcome this problem data mining plays an important role to predict the disease. Medical science has large amount of data growth per year. Due to increase amount of data growth in medical and healthcare field the accurate analysis on medical data which has been benefits from early patient care. With the help of disease data, data mining finds hidden pattern information in the huge amount of medical data. For the disease prediction, we use machine learning algorithm for accurate prediction of disease. After general disease prediction, this system able to gives the risk associated with general disease which is lower risk of general disease or higher.

Theme: “Predicting Disease Using Machine Learning Algorithm”

DATE: 25th September 2020

TIME: 12:00 pm-2:00 pm

Speaker :

Shruti Wadhwa

Shruti Wadhwa received B.Tech from PTU, M.Tech from the National Institute of Technical Teacher’s Training & Research (NITTTR), Chandigarh. She is the Chief Technical Officer of Nidus Technologies Pvt. Ltd. Her areas of research interest include Computer Networks, Web Security, Cyber Security, and Cloud Computing, Virtualization & Artificial Intelligence. To her credit, she has many research publications in referred to International and National Journals and Conferences. She also delivered expert lectures on Web Security Audit at Sardar Patel University of Police Security and Criminal Justice, Jodhpur and on Campus Wide Network Security & Implementation of IPv6 at College of Engineering & Management, Kolaghat and on Prediction of Diabetes & on Covid Analysis and Youtube Analysis in National Institute of Technical Teacher’s Training & Research (NITTTR), Chandigarh and UIET, Chandigarh. She has more than 5 years of experience in teaching and organizing various training programs in the areas of CSE and IT for the faculty of engineering colleges, polytechnics, and students. 

Cordinators :

Prerna Sharma

Designation: Assistant Professor

MM College of Pharmacy,

Maharishi Markandeshwar

(Deemed to be University)

Phone: 9896925048

 Kashish Wilson

Designation: Assistant Professor

MM College of Pharmacy,

Maharishi Markandeshwar

(Deemed to be University)

Phone: 8168234855

Organized by :

M.M COLLEGE OF PHARMACY in collaboration with Nidus Technologies Pvt  Ltd. Chandigarh


  • Maharishi Markandeshwar (DEEMED TO BE UNIVERSITY) Mullana, Ambala (Haryana)
  • +91-1731-274475, 76, 77, 78 | Toll Free: 1800 2740 240
  • [email protected]

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