Patient subtyping in IBD & Autism Using Multi-omics Data with Natural Language Processing & Machine Learning
Time: 9:00 am
day: Conference Day One
Details:
- Map data only to reference databases designed for proper binning and determine the robustness of your findings with Multi-Technology Meta-Analysis (MTMA)
- NLP topic models and machine learning lead to patient subgroups with explanatory attributes in IBD and Autism
- Prioritizing concordant findings when applying multiple techniques to extract features from a single raw data source