Streams and IBM Watson Studio help you tackle the unique problem of applying data science models to real time data. For example, you might have trained a predictive model to use patient data to predict the most successful treatment. Now, you can apply that model to real time data for new patients using IBM Watson Studio.

The tools in Watson Studio help you solve this problem in 2 steps. First, create and train the model using Watson Machine Learning, and then deploy it using Streams Flows.

This video shows how this can be done in Watson Studio.

New to Streams Flows? Start here by reading the announcement and watching the overview video on Youtube.


Use Watson Machine Learning Predictive Modeling with Streaming Data



5 comments on"Watson Studio: Predict the correct drug for a patient using Streams Flows and Predictive Modelling"

  1. Hello Natasha,

    I am doing the same by considering sales promotion study right after drug study sample in watson streams flows . So for me I didn’t find any url for the dataset to load in streams flow python code , is there any way?

    Thank you.

    • Natasha DSilva May 16, 2019

      Sorry I don’t understand – you’re looking to load a dataset into Streams flows and then use that file in your flow?

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