Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/19979
Title: Applying machine learning/Artificial intelligence in pharmaceutical data research
Authors: Mitra, Neel Ratan 
Keywords: Artificial intelligence;Pharmaceutical industry;Machine learning;Healthcare industry
Issue Date: 2019
Publisher: Indian Institute of Management Bangalore
Series/Report no.: PGP_CCS_P19_107
Abstract: Medical prescriptions are a rich source of data for Pharmaceutical companies & other stakeholders in the healthcare industry to gain insights on how their products & services are performing. For instance, as per the category of drug molecules being prescribed by doctors pharma companies can gauge the stage (growing, declining, etc.) of the life-cycle their drugs are at. Certain drugs molecules may be gaining favours across different specialty (e.g.: Cardiologist, Diabetologists, etc.) - being in possession of such knowledge would allow firms to realign their sales strategy to drive more drug prescription; and in turn generate more sales.
URI: https://repository.iimb.ac.in/handle/2074/19979
Appears in Collections:2019

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