AI for Medical Prognosis from Coursera

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.

Machine learning is a powerful tool for prognosis, a branch of medicine that specializes in predicting the future health of patients. In this second course, you’ll walk through multiple examples of prognostic tasks. You’ll then use decision trees to model non-linear relationships, which are commonly observed in medical data, and apply them to predicting mortality rates more accurately. Finally, you’ll learn how to handle missing data, a key real-world challenge.

These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. This course focuses on tree-based machine learning, so a foundation in deep learning is not required for this course. However, a foundation in deep learning is highly recommended for course 1 and 3 of this specialization. You can gain a foundation in deep learning by taking the Deep Learning Specialization offered by deeplearning.ai and taught by Andrew Ng.

What's inside

Syllabus

Linear Prognostic Models

Build a linear prognostic model using logistic regression, then evaluate the model by calculating the concordance index. Finally, improve the model by adding feature interactions.

Prognosis with Tree-based Models

Tune decision tree and random forest models to predict the risk of a disease. Evaluate the model performance using the c-index. Identify missing data and how it may alter the data distribution, then use imputation to fill in missing data, in order to improve model performance.

Survival Models and Time

This week, you will work with data where the time that a disease occurs is a variable. Instead of predicting just the 10-year risk of a disease, you will build more flexible models that can predict the 5 year, 7 year, or 10 year risk.

Build a Risk Model Using Linear and Tree-based Models

This week, you will fit a linear model, and a tree-based risk model on survival data, to customize a risk score for each patient, based on their health profile. The risk score represents the patient’s relative risk of getting a particular disease. You will then evaluate each model’s performance by implementing and using a concordance index that incorporates time to event and censored data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds practical skills using tree-based machine learning algorithms, making it ideal for individuals with limited deep learning knowledge

Focuses on a specific domain, medicine, making it highly relevant for healthcare professionals and those seeking to specialize in medical AI

Provides practical experience in applying machine learning to solve real-world medical problems

Taught by expert instructors from top institutions, ensuring high-quality content and credibility

Assumes a foundation in deep learning, which may limit accessibility for beginners in the field

Reviews summary

Highly acclaimed ai for medical prognosis course

Learners say this course largely exceeds expectations, offering well-explained lectures, engaging assignments, and a clear progression from basic to advanced concepts. It delves into the practical applications of AI in medical prognosis, providing a solid foundation for those seeking to enter the field. However, some students note that the course lacks depth in AI algorithms and could benefit from more hands-on exercises.

Course starts with basic concepts and gradually moves to advanced topics.

"Excellent course! Real world data and robust models. Of particular value was the implementation of the SHAP feature interpretation algorithm as applied to ensemble models."

"This was a FANTASTIC course. I am very impressed with the quality of the lectures and the instructor. Thank you for teaching me how to deal with data and censorship :)"

"This course is well organized and have a good flow, that helps to understand all the facts."

Assignments are practical and well-designed.

"The class is very good. It help me build the knowledge in AI application in medicine."

"Very interesting and concise introduction to the foundations of a topic which can only grow and grow in importance in the future."

"The course is amazing. And practical quizzes and assignments are just perfect and up-to date with current affairs."

Course is organized and easy to follow.

"The course is well structured and have a good flow, that helps to understand all the facts."

"A well structured courses, which is very fun to go through."

"The course is as good as the AI for Medical Diagnosis. It is clear all along, very well illustrated, the notebooks are extremely well done."

Course could offer more exercises and practical examples.

"Good practice, but i want more hands-on assignment which focuses on how to build model from scratch, for example about COX model."

"I really like the way that the course is structured and that you are beginning with naive and easy solutions to come up with better ones, but sometimes it wasn't explicit enough that they where naive solutions while you were presenting them."

Course focuses on statistical and medical concepts rather than deep learning.

"The machine learning part is very basic and limited, and there are no deep learning related parts."

"This is a nice introductory course for some of the machine learning applications in medical prognosis."

"It seems to me the course is at least half about statistics, not AI."

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 AI for Medical Prognosis with these activities:

Complete the Coursera Deep Learning Specialization

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Completing this specialization will give you a strong foundation in deep learning, which is highly recommended for this course.

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Enroll in the Coursera Deep Learning Specialization
Complete the required courses and quizzes

Review linear regression and logistic regression

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Reviewing linear and logistic regression will help you refresh your understanding of these fundamental machine learning techniques, which are used in this course.

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Revisit lecture notes or textbooks on linear and logistic regression

Review Artificial Intelligence for Medicine by Pranav Rajpurkar and Bora Uyumazturk

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Reviewing this book will provide you with a foundation in the application of artificial intelligence in the medical field, which is essential for this course.

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Read chapters 1-3 to gain an overview of AI in medicine and machine learning

Five other activities

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Solve coding challenges on LeetCode or HackerRank

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Solving coding challenges will help you improve your programming skills and problem-solving abilities, which are essential for this course.

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Create an account on LeetCode or HackerRank
Start solving coding challenges

Join a study group or discussion forum

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Joining a study group or discussion forum will allow you to connect with other students, share knowledge, and get help with difficult concepts.

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Find a study group or discussion forum for this course
Participate in discussions and ask questions

Create a knowledge base of important concepts and equations

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Creating a knowledge base will help you organize and retain the important concepts and equations covered in this course.

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Create a document or spreadsheet to store important concepts and equations
Review the course materials and add relevant information to your knowledge base

Develop a machine learning model to predict the risk of a disease

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Developing a machine learning model will give you hands-on experience in applying the concepts learned in this course to a real-world problem.

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Choose a dataset of medical records
Clean and preprocess the data
Train and evaluate a machine learning model

Contribute to open-source machine learning projects

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Contributing to open-source projects will give you hands-on experience in applying your machine learning skills and collaborating with others.

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Find an open-source machine learning project to contribute to
Read the project documentation and contribute bug fixes or new features

Career center

Learners who complete AI for Medical Prognosis will develop knowledge and skills that may be useful to these careers:

Medical Doctor

The field of medicine is constantly evolving, and new technologies are emerging all the time. By taking this course, you will be able to learn about the latest advances in AI and how they are being used to improve patient care. This knowledge will make you a more valuable asset to your team and will help you to provide better care for your patients. Also, this course will help you develop the skills you need to apply AI to real-world medical problems.

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Physician Assistant

As a Physician Assistant, you will be responsible for providing medical care to patients under the supervision of a physician. You will need to be able to diagnose and treat illnesses, order tests, interpret medical results, and perform minor surgeries. This course will help you develop the skills you need to succeed in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Physician Assistant

Healthcare Consultant

In this role, you will be responsible for advising healthcare organizations on how to improve their operations. You will use your analytical skills to identify problems and develop solutions. This course will help you develop the knowledge and skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

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Data Scientist

As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting data. This data can be used to improve patient care, develop new drugs, and design new medical devices. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Data Scientist

Health Policy Analyst

In this role, you will be responsible for analyzing health policy and making recommendations to policymakers. You will use your research skills to identify problems and develop solutions. This course will help you develop the knowledge and skills you need to be successful in this role.

See salaries and explore the career path for Health Policy Analyst

Healthcare Administrator

In this role, you will be responsible for managing the day-to-day operations of a healthcare organization. You will need to be able to budget, manage staff, and ensure that the organization is compliant with all applicable laws and regulations. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Healthcare Administrator

Clinical Research Coordinator

In this role, you will be responsible for coordinating clinical research studies. You will work with researchers to design and implement studies, and you will be responsible for collecting and analyzing data. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Clinical Research Coordinator

Health Informatics Specialist

In this role, you will be responsible for designing and implementing health information systems. You will work with clinicians and other healthcare professionals to ensure that the systems meet their needs. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Health Informatics Specialist

Medical Writer

In this role, you will be responsible for writing medical content for a variety of audiences. You will work with clinicians and other healthcare professionals to develop articles, reports, and other materials. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

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Medical Librarian

In this role, you will be responsible for managing a medical library. You will work with patrons to find the information they need, and you will teach them how to use the library's resources. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

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Healthcare Lobbyist

In this role, you will be responsible for representing the interests of a healthcare organization before government agencies. You will work to influence legislation and regulations that affect the healthcare industry. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Healthcare Lobbyist

Healthcare Entrepreneur

In this role, you will be responsible for starting and running your own healthcare business. You will need to be able to identify opportunities, develop a business plan, and raise capital. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Healthcare Entrepreneur

Healthcare Advocate

In this role, you will be responsible for helping patients navigate the healthcare system. You will work with patients to find the resources they need, and you will advocate for their rights. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Healthcare Advocate

Healthcare Economist

In this role, you will be responsible for analyzing the economic impact of healthcare policies. You will use your research skills to identify the costs and benefits of different policies, and you will make recommendations to policymakers. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Healthcare Economist

Healthcare Journalist

In this role, you will be responsible for writing about healthcare issues for a variety of audiences. You will work with experts to gather information, and you will write articles, reports, and other materials that inform the public about healthcare. This course will help you develop the skills you need to be successful in this role. It will also introduce you to the latest advances in AI and how they are being used to improve patient care.

See salaries and explore the career path for Healthcare Journalist

AI for Medical Prognosis

What's inside

Syllabus

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Reviews summary

Highly acclaimed ai for medical prognosis course

Activities

Career center

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