Hashwanth Gogineni

Data Science Skills

Artificial Intelligence	Statistical Modeling	Text Analytics
Big Data	Digital Analytics	Visualization
Python	R	Tableau

Domain Skills

Retail

Lyme Disease Detection

Category: Domain Usecases

Sub-Category: Health Care and Pharmaceuticals

Use-case Type: Image Classification

Tags: Classification,cnn,convolutional neural network,data science,deep learning,disease,health,healthcare,infection,lyme,lyme disease detection,model,resnet,treatment

Public API

Access Model

Sample Test Data

Try the Model Inference

Upload Image

Uploaded Image

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.

Use Case Summary

Lyme Disease also known as the "Silent Epidemic" is very dangerous and affects more than 300,000 people each year. The data contains images of the EM ( Erythema Migrans) also known as the "Bull's Eye Rash" It is one of the most prominent symptoms of Lyme disease. Also in the data contains several other types of rashes which may be often confused with EM rash by doctors and most of the medical field. The objective is to predict whether a rash is a symptom of Lyme disease.