Machine Learning for Healthcare from Pluralsight

This course will explore the conceptual aspects of applying machine learning to problems in the healthcare industry, discuss case studies of machine learning used in healthcare, and explore practical implementations of techniques on real-world data from that industry.

The healthcare industry generates vast quantities of data, and so presents unique opportunities for applying machine learning. The use of machine learning in healthcare can prove transformative in the lives of people around the world.

In this course, Machine Learning for Healthcare, you’ll explore machine learning techniques currently applied in the healthcare industry. First, you’ll explore a few specific use cases such as the use of ML techniques for epidemic control, AI-assisted robotic surgery, patient diagnosis, and the automation of administrative tasks. You will also get an intuitive understanding of how convolutional neural networks work and how they are used in medical imaging.

Next, you will understand the steps involved in applying machine learning techniques to chronic disease prediction. You will study a case from a research paper that uses natural language processing and text extraction techniques on medical notes to diagnose chronic diseases for hospital patients. Another case study will discuss the use of medical imaging and image preprocessing techniques to detect leukemia from microscopic blood cell images.

Finally, you will get hands-on coding and see how you can use regression models to predict blood pressure and classification models to predict liver disease.

When you are finished with this course you will have the awareness of how machine learning can be applied in the healthcare industry and hands-on experience working with healthcare data.

What's inside

Syllabus

Course Overview

Exploring Applications of Machine Learning in Healthcare

Case Study: Disease Detection Using Machine Learning

Case Study: Diagnosis Using Medical Imaging

Applying Machine Learning Techniques to Healthcare Data

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops foundational skills for those new to applications of machine learning in medicine

Covers specialized perspectives and techniques, such as applications of convolutional neural networks in medical imaging

Emphasizes practical implementation, offering hands-on experience working with real-world healthcare data

May require prior experience in machine learning and data analysis

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Machine Learning for Healthcare with these activities:

Review probability and statistics concepts

Show steps

Strengthen your foundation in probability and statistics, which are essential for understanding the theoretical underpinnings of ML techniques used in healthcare applications.

Browse courses on Probability

Show steps

Review notes or textbooks on probability and statistics.
Practice solving probability and statistics problems.

Practice applying ML techniques to medical data

Show steps

Practice applying the ML techniques you learn in the course to real-world medical datasets to solidify your understanding and improve your problem-solving skills.

Browse courses on Machine Learning in Healthcare

Show steps

Find a publicly available medical dataset.
Load the dataset into your preferred programming environment.
Choose a machine learning algorithm and train it on the dataset.
Evaluate the performance of the model.

Follow tutorials on CNNs for medical image analysis

Show steps

Gain hands-on experience with CNNs for medical image analysis by following video or written tutorials to reinforce the concepts covered in class.

Browse courses on Convolutional Neural Networks

Show steps

Search for online tutorials or resources on CNNs for medical image analysis.
Understand the architecture and principles of CNNs.
Apply CNNs to analyze medical images and identify patterns or abnormalities.

Two other activities

Expand to see all activities and additional details

Show all five activities

Learn about natural language processing for medical diagnosis

Show steps

Expand your knowledge of natural language processing (NLP) techniques for analyzing medical text and extracting meaningful information to enhance your understanding of ML applications in healthcare.

Browse courses on Natural Language Processing

Show steps

Explore tutorials or online resources on NLP and its applications in the healthcare domain.
Gain hands-on experience with NLP tools and techniques.

Write a blog post or article on ML in healthcare

Show steps

Reinforce your understanding of ML in healthcare by writing about it. This process will help you organize and solidify your knowledge.

Browse courses on Machine Learning in Healthcare

Show steps

Choose a specific ML application in healthcare to focus on.
Research the topic and gather relevant information.
Write a blog post or article outlining the ML application, its benefits, and potential impact.

Career center

Learners who complete Machine Learning for Healthcare will develop knowledge and skills that may be useful to these careers:

Machine Learning Scientist

A Machine Learning Scientist develops machine learning models that can solve specific business problems. They work with data scientists to identify the right data to use and to develop and test models. Machine Learning Scientists may also work with software engineers to deploy models into production. This course can help you to develop the skills you need to be a successful Machine Learning Scientist. You will learn about the different types of machine learning models, how to train and test them, and how to deploy them into production.

See salaries and explore the career path for Machine Learning Scientist

Data Scientist

A Data Scientist uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. Data Scientists may also develop machine learning models to predict future events. This course can help you to develop the skills you need to be a successful Data Scientist. You will learn about the different types of data, how to collect and clean it, and how to analyze it to identify trends and patterns.

See salaries and explore the career path for Data Scientist

Software Engineer

A Software Engineer designs, develops, and maintains software systems. They work with other engineers to create software that meets the needs of users. Software Engineers may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Software Engineer. You will learn about the different aspects of software development, including design, development, and testing.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to make investment decisions. They analyze data to identify trends and patterns, and they develop models to predict future events. Quantitative Analysts may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Quantitative Analyst. You will learn about the different types of mathematical and statistical models, how to use them to analyze data, and how to develop models to predict future events.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

A Business Analyst identifies and solves business problems. They work with stakeholders to understand their needs and to develop solutions that meet those needs. Business Analysts may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Business Analyst. You will learn about the different aspects of business analysis, including problem identification, solution development, and stakeholder management.

See salaries and explore the career path for Business Analyst

Healthcare Data Analyst

A Healthcare Data Analyst collects, analyzes, and interprets data to improve the quality and efficiency of healthcare delivery. They work with clinicians and other healthcare professionals to identify trends and patterns in data, and they develop models to predict future events. Healthcare Data Analysts may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Healthcare Data Analyst. You will learn about the different types of healthcare data, how to collect and clean it, and how to analyze it to identify trends and patterns.

See salaries and explore the career path for Healthcare Data Analyst

Medical Physicist

A Medical Physicist uses physics to solve problems in medicine. They work with doctors and other healthcare professionals to develop new medical technologies and to improve the quality and efficiency of healthcare delivery. Medical Physicists may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Medical Physicist. You will learn about the different aspects of medical physics, including imaging, radiation therapy, and nuclear medicine.

See salaries and explore the career path for Medical Physicist

Biostatistician

A Biostatistician uses statistical methods to solve problems in biology and medicine. They design and conduct studies to collect data, and they analyze data to identify trends and patterns. Biostatisticians may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Biostatistician. You will learn about the different types of statistical methods, how to use them to analyze data, and how to develop models to predict future events.

See salaries and explore the career path for Biostatistician

Epidemiologist

An Epidemiologist investigates the causes of disease and injury in populations. They design and conduct studies to collect data, and they analyze data to identify trends and patterns. Epidemiologists may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Epidemiologist. You will learn about the different types of epidemiological methods, how to use them to collect data, and how to analyze data to identify trends and patterns.

See salaries and explore the career path for Epidemiologist

Health Economist

A Health Economist analyzes the economic aspects of healthcare. They study the costs and benefits of different healthcare interventions, and they develop policies to improve the efficiency and effectiveness of healthcare delivery. Health Economists may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Health Economist. You will learn about the different aspects of health economics, including cost-benefit analysis, policy analysis, and healthcare financing.

See salaries and explore the career path for Health Economist

Health Policy Analyst

A Health Policy Analyst analyzes the impact of health policies on the healthcare system and on the population. They work with policymakers to develop and implement policies that improve the quality and efficiency of healthcare delivery. Health Policy Analysts may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Health Policy Analyst. You will learn about the different aspects of health policy analysis, including policy development, policy implementation, and policy evaluation.

See salaries and explore the career path for Health Policy Analyst

Healthcare Consultant

A Healthcare Consultant provides advice to healthcare organizations on how to improve their operations and performance. They work with healthcare executives to identify and solve problems, and they develop and implement solutions to improve the quality and efficiency of healthcare delivery. Healthcare Consultants may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Healthcare Consultant. You will learn about the different aspects of healthcare consulting, including problem identification, solution development, and implementation.

See salaries and explore the career path for Healthcare Consultant

Medical Writer

A Medical Writer creates written materials about medical topics. They work with doctors and other healthcare professionals to develop educational materials, marketing materials, and scientific articles. Medical Writers may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Medical Writer. You will learn about the different aspects of medical writing, including medical terminology, scientific writing, and marketing writing.

See salaries and explore the career path for Medical Writer

Clinical Research Coordinator

A Clinical Research Coordinator manages clinical trials and studies. They work with doctors and other healthcare professionals to design and conduct studies, and they collect and analyze data. Clinical Research Coordinators may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Clinical Research Coordinator. You will learn about the different aspects of clinical research, including study design, data collection, and data analysis.

See salaries and explore the career path for Clinical Research Coordinator

Healthcare Administrator

A Healthcare Administrator manages the day-to-day operations of a healthcare organization. They work with doctors and other healthcare professionals to develop and implement policies, and they oversee the financial and operational aspects of the organization. Healthcare Administrators may also work with data scientists to develop and deploy machine learning models. This course can help you to develop the skills you need to be a successful Healthcare Administrator. You will learn about the different aspects of healthcare administration, including policy development, financial management, and operational management.

See salaries and explore the career path for Healthcare Administrator

Machine Learning for Healthcare

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses