CHRONIC DISEASES MODELLING – PYTHON ENVIRONMENT

  • FAISAL MEHMOOD Department of Biochemistry, University of Agriculture, Faisalabad, Pakistan
  • HAROON UR RASHIDKAYANI Department of Software Engineering, Lahore Garrison University, Lahore, Pakistan
  • FATMA HUSSAIN Department of Biochemistry, University of Agriculture, Faisalabad, Pakistan

Abstract

Chronic infections affect a majority of the population globally. The death toll of chronic disorders is also huge. With the advancement of technology, Artificial Intelligence (AI) can play an important role in healthcare systems.Machine Learning (ML) is a branch of AI, where a computer program is trained to predict the outcome of a decision. Computer simulation models are programs built on the principles of ML and these programs can build computer models that simulate the same physiological environment outside the human body and not only forecast the diseasestatus for upcoming years but also estimate the cost of treatment and the health condition of the patient. We reviewed literature about these computer simulation models built-in Python environment takes in data in the form of attributes of patients and predict the outcome of a disease. Majority of these models have shown significant efficiency and accuracy about predicting the disease with true veracity. We reviewed the prediction models for asthma, cardiovascular disorders, Alzheimer’s disease, diabetes mellitus and liver diseases. Keywords: Chronic diseases, Computer modelling, Machine learning, Python, Predictive models

Published
2020-06-27