Search Results for author:
Found 8 papers, 3 papers with code
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data
In the rapidly evolving healthcare industry, platforms now have access to not only traditional medical records, but also diverse data sets encompassing various patient interactions, such as those from healthcare web portals.
Patient Clustering via Integrated Profiling of Clinical and Digital Data
We introduce a novel profile-based patient clustering model designed for clinical data in healthcare.
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
In this work, we extend the DPBD framework to span-level annotation tasks, arguably one of the most time-consuming NLP labeling tasks.
Putting Humans in the Natural Language Processing Loop: A Survey
How can we design Natural Language Processing (NLP) systems that learn from human feedback?
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions
We operationalize our framework with Ruler, an interactive system that synthesizes labeling rules for document classification by using span-level annotations of users on document examples.
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
Topic modeling is commonly used to analyze and understand large document collections.
SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis
SNeCT decomposition is applied to tensor constructed from large scale multi-platform multi-cohort cancer data, PanCan12, constrained on a network built from PathwayCommons database.
CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions
Also, CTD-S is made 5 ~ 86x faster, and 7 ~ 12x more memory-efficient than the state-of-the-art method by removing redundancy.
