Deep Learning in Electronic Health Records
Completed by Rishabh Raj
October 21, 2024
31 hours (approximately)
Rishabh Raj'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: Data Cleansing
- Category: Electronic Medical Record
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Predictive Modeling
- Category: Dimensionality Reduction
- Category: Embeddings
- Category: Medical Records
- Category: Health Informatics
- Category: Electocardiography
- Category: Applied Machine Learning
- Category: Data Preprocessing
