Deep Learning in Electronic Health Records
Completed by Laura Daniela Ordierez Zuñiga
May 12, 2024
31 hours (approximately)
Laura Daniela Ordierez Zuñiga'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: Machine Learning Methods
- Category: Data Preprocessing
- Category: Time Series Analysis and Forecasting
- Category: Artificial Neural Networks
- Category: Autoencoders
- Category: Electronic Medical Record
- Category: Health Informatics
- Category: Electocardiography
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
- Category: Recurrent Neural Networks (RNNs)
- Category: Deep Learning
