Ementorhub

What you'll learn

Estimate treatment effects using data from randomized control trials

Explore methods to interpret diagnostic and prognostic models

Apply natural language processing to extract information from unstructured medical data

Skills you'll gain

Precision Medicine

Large Language Modeling

Machine Learning

AI Personalization

Clinical Trials

Applied Machine Learning

Artificial Intelligence and Machine Learning (AI/ML)

Text Mining

Natural Language Processing

Predictive Modeling

Medical Terminology

Treatment Planning

Deep Learning

Patient Treatment

Medical Science and Research

Machine Learning Methods

Feature Engineering

Health Informatics

Data Analysis

Statistical Analysis

There are 3 modules in this course

Medical treatment may impact patients differently based on their existing health conditions. In this third course, you’ll recommend treatments more suited to individual patients using data from randomized control trials. In the second week, you’ll apply machine learning interpretation methods to explain the decision-making of complex machine learning models. Finally, you’ll use natural language entity extraction and question-answering methods to automate the task of labeling medical datasets. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend that you take the Deep Learning Specialization.

Medical Question Answering

ML Interpretation