Deep Learning in Electronic Health Records
Completed by Grigoriy Serbarinov
February 20, 2022
31 hours (approximately)
Grigoriy Serbarinov'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: Recurrent Neural Networks (RNNs)
- Category: Electocardiography
- Category: Medical Records
- Category: Health Informatics
- Category: Applied Machine Learning
- Category: Electronic Medical Record
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Model Evaluation
- Category: Embeddings
- Category: Machine Learning Methods
