Inspiration
When symptoms arise, it’s not always clear whether we should head to a pharmacy or to a clinic to consult with a doctor. The former could be a quick trip, and the latter could turn into an afternoon of waiting.
What it does
We built a model to predict treatment based on symptoms. We then mapped treatment to over-the-counter or prescription drug.
How I built it
Python, Scikit-Learn, Pandas
Challenges I ran into
Finding the Data Cleaning up the Data
Accomplishments that I'm proud of
Complexity: Our tool uses machine learning to analyze the data provided to health trackers. Innovation: It helps individuals take an active role in their healthcare by providing insights on their data. Disruption: It alleviates our healthcare system from non-urgent visits.
What I learned
SO MANY THINGS
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