Deep Learning in Electronic Health Records
Completed by Saman Fouladi
August 7, 2022
31 hours (approximately)
Saman Fouladi'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: Model Evaluation
- Category: Predictive Modeling
- Category: Deep Learning
- Category: Electronic Medical Record
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Artificial Neural Networks
- Category: Model Optimization
