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Introduction to deep learning for healthcare
Cao Xiao,
Jimeng Sun
Siebel School of Computing and Data Science
Coordinated Science Lab
Neuroscience Program
Biomedical and Translational Sciences
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Keyphrases
Attention Model
25%
Autoencoder
25%
Automatic Diagnosis
25%
Clinical Notes
50%
Clinical Prediction Model
25%
Clinical Trial Matching
25%
Clinical Visit
25%
Convolutional Neural Network
25%
Data Learning
25%
De-identification
25%
Deep Learning
100%
Deep Learning Methods
25%
Deep Learning Model
100%
Deep Neural Network
25%
Diagnostic Codes
25%
Drug Discovery
25%
Drug Response Prediction
25%
Echocardiogram
25%
Electroencephalogram
25%
Electronic Health Records
50%
Generative Models
25%
Graduate Level
25%
Graph Neural Network
25%
Health Care Delivery
25%
Health Data
50%
Health Technology
25%
Healthcare
100%
Healthcare Applications
50%
Healthcare Data
50%
Impact on Healthcare
25%
Lab Results
25%
Long History
25%
Machine Learning Techniques
25%
Magnetic Resonance Imaging
25%
Medical Codes
25%
Medical Imaging Data
25%
Medication Information
25%
Medication Recommendation
25%
Memory Network
25%
Molecule Generation
25%
Multimodal Data
25%
Multiple Levels
25%
Network Embedding Method
25%
Network Memory
25%
Network Model
25%
Neural Network
25%
Neural Network Embedding
25%
Neural Network Model
25%
Patient Encounter
25%
Promising Direction
25%
Readmission Prediction
25%
Recurrent Neural Network
25%
Self-generated
25%
Sleep Monitoring
25%
Structured Data
25%
Student-centered
25%
Time Series Data
25%
Unstructured Data
50%
Wearable Sensors
25%
X-ray
25%
Medicine and Dentistry
Clinical Trial
50%
Computer Assisted Diagnosis
50%
Diagnostic Imaging
50%
Drug Therapy
100%
Echocardiography
50%
Electrocardiogram
100%
Electroencephalogram
50%
Electronic Health Record
100%
Laboratory Test
50%
Magnetic Resonance Imaging
50%
Phenotype
50%
Predictive Modeling
50%
Time Series Analysis
50%
Wearable Sensor
50%
Computer Science
Autoencoder
25%
Case Study
50%
Collected Data
25%
Convolutional Neural Network
25%
Deep Learning
100%
Deep Learning
25%
Deep Learning Model
100%
Deep Neural Network
25%
Embedding Method
25%
Generative Model
25%
Graph Neural Network
25%
Healthcare Data
50%
Healthcare Delivery
25%
Healthcare Technology
25%
Machine Learning
25%
Medical Imaging
25%
Multimodality
25%
Neural Network
25%
Neural Network Model
25%
Recurrent Neural Network
25%
Structured Data
25%
Structured Information
25%
Time Series Data
25%
Unstructured Data
25%
Unstructured Information
25%
Biochemistry, Genetics and Molecular Biology
Clinical Trial
50%
Computer Assisted Diagnosis
50%
Electrocardiogram
100%
Electroencephalogram
50%
Electronic Health Record
100%
Embedding
50%
Laboratory Test
50%
Magnetism
50%
Phenotype
50%
X Ray
50%
Pharmacology, Toxicology and Pharmaceutical Science
Clinical Trial
100%
Drug Discovery
100%
Predictive Modeling
100%
Chemical Engineering
Deep Learning
100%
Deep Neural Network
11%
Learning System
11%
Neural Network
44%
Recurrent Neural Network
11%