Deep Learning in Electronic Health Records
Completed by Tarfah Alsabi
December 25, 2023
31 hours (approximately)
Tarfah Alsabi'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: Medical Records
- Category: Model Optimization
- Category: Machine Learning Methods
- Category: Embeddings
- Category: Dimensionality Reduction
- Category: Predictive Modeling
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Electocardiography
- Category: Convolutional Neural Networks
- Category: Time Series Analysis and Forecasting
