Machine Learning In Healthcare: Practical Approach By Orange

AI for Non-Programmers: Hands-On Machine Learning in Healthcare

What you'll learn

Learn the basics of machine learning without any coding!

Learn from real world problems in healthcare solved by no-code machine learning

Master Orange Data Mining software

Learn to create your own models of multiple healthcare problems

Requirements

There are no prerequisites, however, you will enjoy it better if you know the basics of machine learning

No programming or math experience required

Description

Do you want to learn Machine Learning without writing any code?Are you afraid of programming language but want to learn Machine Learning?Are you a healthcare professional who wants to learn the role of Machine Learning in Healthcare?If the answer to any of these question is Yes, then this is the course for you.Machine Learning for Healthcare with Orange Data MiningWelcome to an exciting journey into the world of Artificial Intelligence and Machine Learning in healthcare, led by Dr. Atul Tiwari, a seasoned medical doctor with a passion for technology. Whether you're a healthcare professional looking to harness the power of AI or an AI enthusiast with little or no programming background, this course is tailor-made for you!In this comprehensive Udemy course, Dr. Atul Tiwari will guide you through the fascinating realm of Machine Learning using the user-friendly Orange Data Mining Software. No complex coding required! Just bring your enthusiasm and curiosity as we delve into the groundbreaking intersection of medicine and technology.What Will You Learn?- Understand the fundamentals of Machine Learning and its applications in healthcare.- Get hands-on experience with Orange Data Mining Software, a powerful tool for AI-driven insights.- Discover real-world healthcare problems and learn how to build predictive models for diabetes using Machine Learning.- Grasp the role of AI in healthcare decision-making and research.Who Is This Course For?Healthcare Professionals: Enhance your skillset by harnessing the potential of Machine Learning in solving medical challenges and improving patient care.AI Enthusiasts: Dive into the world of AI and gain practical knowledge without needing to learn complex programming languages.Students and Researchers: Explore the cutting-edge applications of AI in healthcare and open new possibilities for medical research.Why Choose This Course?- Taught by Dr. Atul Tiwari, an experienced medical doctor with a Diploma in Artificial Intelligence.- Hands-on, practical demonstrations using Orange Data Mining Software to build predictive models for diabetes.- Real-world examples and applications to deepen your understanding of AI in healthcare.- Unlock the potential of Machine Learning without the need for advanced programming skills.- Make a positive impact on patient care and medical research through the power of AI.Are you ready to embark on this enlightening journey? Enroll now and equip yourself with the skills to harness the incredible potential of Machine Learning in the healthcare industry. Let's revolutionize the future of medicine together!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Introduction & Steps of Machine Learning

Section 2: Introduction to Orange Software

Lecture 3 Download & Install Orange Software

Lecture 4 Overview of Orange Workflow

Section 3: Project - 1. Diabetes Prediction using Machine Learning

Lecture 5 Reference Article

Lecture 6 Brief Review of Reference Article & Download Dataset

Lecture 7 Load Dataset in Orange

Lecture 8 Data Preprocessing & Gain Ratio

Lecture 9 Create Machine Learning Models for Diabetes Prediction

Lecture 10 Confusion Matrix & Prediction

Lecture 11 Conclusion and Comparision of Results with Reference Article

Section 4: Exercise - 1. Stroke Prediction using Machine Learning

Lecture 12 Exercise - 1. Stroke Prediction using Machine Learning

Beginner to the AI world who don't have any programming experience,People who are interested in learning real world problems in healthcare and their possible solutions