Deep Learning in Electronic Health Records
Completed by Syed Muhammad Aon Nazar Zaidi
July 25, 2025
31 hours (approximately)
Syed Muhammad Aon Nazar Zaidi's account is verified. Coursera certifies their successful completion of Deep Learning in Electronic Health Records
What you will learn
Train deep learning architectures such as Multi-layer perceptron, Convolutional Neural Networks and Recurrent Neural Networks for classification.
Validate and compare different machine learning algorithms.
Preprocess Electronic Health Records and represent them as time-series data.
Imputation strategies and data encodings.
Skills you will gain
- Category: Autoencoders
- Category: Data Cleansing
- Category: Data Preprocessing
- Category: Electronic Medical Record
- Category: Health Informatics
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Model Optimization
- Category: Medical Records
- Category: Electocardiography
- Category: Time Series Analysis and Forecasting
- Category: Convolutional Neural Networks
