Deep Learning in Electronic Health Records
Completed by Reefa Rabeed
February 13, 2026
31 hours (approximately)
Reefa Rabeed'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: Data Preprocessing
- Category: Deep Learning
- Category: Embeddings
- Category: Model Evaluation
- Category: Health Informatics
- Category: Data Cleansing
- Category: Electocardiography
- Category: Recurrent Neural Networks (RNNs)
- Category: Predictive Modeling
- Category: Electronic Medical Record
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
