research
∙
06/24/2021
Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
The adoption of electronic health records (EHR) has become universal dur...
share
research
∙
06/23/2021
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
The claims data, containing medical codes, services information, and inc...
research
∙
02/26/2021
NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies
Despite being crucial to health and quality of life, sleep – especially ...
research
∙
10/30/2020
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Clinical question answering (QA) aims to automatically answer questions ...
research
∙
10/24/2020
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
We present a large challenging dataset, COUGH, for COVID-19 FAQ retrieva...
research
∙
05/02/2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics
Nowadays, the interpretability of machine learning models is becoming in...
research
∙
11/11/2019
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization
Novel contexts may often arise in complex querying scenarios such as in ...
research
∙
09/13/2019
Distributed representation of patients and its use for medical cost prediction
Efficient representation of patients is very important in the healthcare...
research
∙
06/21/2019
