Deep Learning in Electronic Health Records
Completed by Dharanipriya s.v
October 8, 2024
31 hours (approximately)
Dharanipriya s.v'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: Dimensionality Reduction
- Category: Model Optimization
- Category: Predictive Modeling
- Category: Embeddings
- Category: Time Series Analysis and Forecasting
- Category: Machine Learning Methods
- Category: Deep Learning
- Category: Electronic Medical Record
- Category: Recurrent Neural Networks (RNNs)
- Category: Medical Records
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
