Deep Learning in Electronic Health Records
Completed by Marzieh Hemmati
December 3, 2023
31 hours (approximately)
Marzieh Hemmati'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: Convolutional Neural Networks
- Category: Embeddings
- Category: Dimensionality Reduction
- Category: Health Informatics
- Category: Applied Machine Learning
- Category: Autoencoders
- Category: Data Cleansing
- Category: Data Preprocessing
- Category: Predictive Modeling
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Electocardiography
