Artificial Intelligence in Predictive Forecasting for Healthcare

Authors

  • S. Shameer Mohaideen Student, B. Pharm, Sree Abirami College of Pharmacy, Coimbatore, India
  • V. Keerthana Student, B. Pharm, Sree Abirami College of Pharmacy, Coimbatore, India
  • L. V. Vigneshwaran HOD and Professor, M. Pharm, Sree Abirami College of Pharmacy, Coimbatore, India
  • M. Senthil Kumar Principal, M. Pharm, Sree Abirami College of Pharmacy, Coimbatore, India

Keywords:

Artificial intelligence, predictive analysis, pharmaceutical marketing and demand forecasting

Abstract

Artificial Intelligence (AI) is one of the technologies that has shown to be incredibly useful and efficient in allowing automated computerized systems to become increasingly personalized in order to fulfil human desires. Artificial intelligence (AI) is a key technology that is being used to make robots intelligent and capable of emulating human actions and behaviors. One of the methods is predictive forecasting. It produces forecasts using both current and historical data. Future events and variable behavior can be predicted using predictive analytics models. Predictive forecasting is valuable in a variety of industries, including healthcare, where it may be used to predict epidemics, pharmaceutical product manufacture, and marketing. We discussed how to use machine learning in predicting. Machine learning is a branch of computer science in which algorithms learn from data. AI is capable of producing forecasts that are 100 percent correct or have a 0% error rate.

Downloads

Download data is not yet available.

Downloads

Published

26-03-2022

How to Cite

[1]
S. Shameer Mohaideen, V. Keerthana, L. V. Vigneshwaran, and M. Senthil Kumar, “Artificial Intelligence in Predictive Forecasting for Healthcare”, IJRAMT, vol. 3, no. 3, pp. 84–87, Mar. 2022.

Issue

Section

Articles