Machine Learning Applications: Medical Diagnosis

An increasing application of machine learning classification algorithms is medical diagnose. Diagnosing if a patient has a specific disease is a simple binary classification problem.

For example, we may build a model to identify if a patient has Hepatitis C. In this case, there are two possible outputs: yes and no, which is a typical binary classification problem.

Thus, the big challenge for medical diagnosis is collecting the correct data to train a model for a specific disease: blood tests, x-ray images, ultrasound, etc.

Each of these data types can help diagnose and need particular treatment before used to feed ML models.

Finally, we’re far from a general artificial intelligence system capable of replacing doctors. However, the excellent results obtained by applying ML models to clinical data show that ML will be a powerful tool for healthcare.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s