- Data Cleansing
- Artificial Neural Networks
- Electronic Medical Record
- Health Informatics
- Deep Learning
- Time Series Analysis and Forecasting
- Machine Learning Methods
- Feature Engineering
- Predictive Modeling
- Electocardiography
- Data Processing
Deep learning in Electronic Health Records - CDSS 2
Completed by Grigoriy Serbarinov
February 20, 2022
31 hours (approximately)
Grigoriy Serbarinov's account is verified. Coursera certifies their successful completion of Deep learning in Electronic Health Records - CDSS 2
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
