Deep Learning in Electronic Health Records
Completed by SRINITHA REDDY CHOLAPALLI
February 17, 2024
31 hours (approximately)
SRINITHA REDDY CHOLAPALLI'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 Preprocessing
- Category: Machine Learning Methods
- Category: Recurrent Neural Networks (RNNs)
- Category: Health Informatics
- Category: Applied Machine Learning
- Category: Electocardiography
- Category: Deep Learning
- Category: Electronic Medical Record
- Category: Predictive Modeling
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Dimensionality Reduction
