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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