Machine Learning Model Deployment
Deployment Date: 2021-05-20 11:16:00 UTC
Artificial Intelligence |
Statistical Modeling |
Big Data |
Digital Analytics |
Visualization |
Python |
R |
Tableau |
Health Care |
Category: Domain Usecases
Sub-Category: Health Care and Pharmaceuticals
Use-case Type: Structured Data Predictions
Private API
Note: Certain Model Inferences can take long time for the first run (Warmup) and would get faster with the subsequent inferences. We thank you for your patience.
Every day we predict according to symptoms what will be the possible reason for a symptom, just like that in this use case we will predicting the prognosis according to the symptoms defined by the patient. This can act as a second eye for the doctor to check their suggestion. Even at times, we have seen various apps and websites claims to help as a doctor on the basis of their models, we are also trying to build something like that here.
You can check the column names(features) and detailed description of my work here:https://www.cluzters.ai/Model/1114/prognosis-prediction.
Provide 0 or 1 for each symptom.
Model Used: Random Forest Classifier
Accuracy of 93.72%.
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