Bangalore startup Clinikk Healthcare using Reinforcement Learning for delivering health benefits to 60 crore Indians. They are building a decision support system that leverages reinforcement learning model which powers a dynamic decision tree that helps in optimal history collection by the health assistant and optimal diagnosis by the doctor by suggesting protocol-based treatment.
This will take into consideration the complete patient context and the past history while also taking into account the disease profile in the locality/region along with the outcome-based efficacy of a particular treatment for other patients with similar issues. Also, an aggregate data analysis is performed for epidemiology in order to determine treatment efficacy and for side effect analysis.
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