RIT Classifieds>RIT Online Courses>Machine Learning for Kyphosis Disease Classification

Machine Learning for Kyphosis Disease Classification

About this Course

The objective of this project is to predict whether a patient has kyphosis or not, based on given features and diagnostic measurements such as age and number of vertebrae. Kyphosis is an abnormally excessive convex curvature of the spine. This guided project is practical and directly applicable to the healthcare industry. You can add this project to your portfolio of projects which is essential for your next job interview.

Created by: Coursera Project Network


Related Online Courses

This course is designed for professionals who want to practice projects that follow industry standards. The course consists of two projects, one of which deals with designing databases in Snowflake... more
Welcome to the Law, Governance, and Public Policy course! This foundational course introduces you to the concepts of democracy, governance, state, and the law and their relationships with public... more
This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and... more
Our specialization is a blend of basic and emerging technology in the power distribution sector through two unique courses. First course is Electrical Power Distribution wherein we deal from... more
Critical reasoning skills are a key success factor for students entering their first year of college. They must be able to think logically and form arguments. This course, designed with incoming... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL