Machine Learning in Healthcare

Author(s): Rohan Rao

Originally published on Towards AI.

Diabetes Prediction with ML

This member-only story is on us. Upgrade to access all of Medium.

How cool it sounds “Machine Learning In Healthcare” to you? It sounds more than a miracle to me. Machine learning trying to get on things in healthcare.

I used to think what about doctors who has worked hard in this industry? Would they really accept a machine’s verdict?

But as the time went on, I realized it has already started improving right from diagnosis and patient’s treatment, till patient’s monitoring and predicting health results.

Using machine learning techniques/algorithms, we would try to predict whether a patient has diabetes or not. Seems simple? — Sounds simple, but anything in healthcare has huge risk if proper accuracy is not achieved.

In this article, our intention would just be understanding how machine learning technique could be used in healthcare problem and finding its solution.

Let’s get on to this job!

For any machine learning prediction model building, from technology part we would require the following things:

Python — https://www.python.org/downloads/Jupyter Lab — https://jupyter.org/installKaggle — https://www.kaggle.com/code/melikedilekci/diabetes-dataset-for-beginners/input

Kaggle is basically a hub of dataset for machine learning and data analysis. You would get free sample dataset for your model training — It’s absolutely FREE! (Well some dataset are… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI