NLP Summit Key Talks Slides
Patient Similarity through Representation Learning from Medical Records
1 - Problem Statement
2 - Data Sources and Challenges
3 - Multiple levels of Data Collection over extended periods
4 - Data Pipeline
5 - Representation
6 - Patient Similarity
7 - Classification
Model Development
Model Dev Cycle
Implementation Monitoring
MLOps Cycle
Suicide Classification for News Media using NLP
Suicide Stats
Topic Classification
Suicide Classification
Automated Extraction of Medical Risk Factors for Life Insurance Underwriting
Health Trends
Pipeline
Models
Functional Flow
How to Build a Question Answering Application with Haystack in 30 Minutes
5 - 1 Flow
5 -2 Pipelines
Keep Exploring!!!
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