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08/14/2023
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
Accurate prediction models for individual-level endpoints and time-to-en...
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02/03/2023
Detecting Reddit Users with Depression Using a Hybrid Neural Network
Depression is a widespread mental health issue, affecting an estimated 3...
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12/19/2022
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction
Real-time individual endpoint prediction has always been a challenging t...
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12/04/2022
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO)
Social determinants of health (SDoH) have a significant impact on health...
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06/28/2022
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models
Objective The evaluation of natural language processing (NLP) models for...
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01/07/2022
RxWhyQA: a clinical question-answering dataset with the challenge of multi-answer questions
Objectives Create a dataset for the development and evaluation of clinic...
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08/04/2021
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles
Our objective in this study is to investigate the behavior of Boolean op...
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04/08/2021
A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations
Most COVID-19 predictive modeling efforts use statistical or mathematica...
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10/24/2019
Development of Clinical Concept Extraction Applications: A Methodology Review
Our study provided a review of the development of clinical concept extra...
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10/24/2019
A Review of the End-to-End Methodologies for Clinical Concept Extraction
Our study provided a review of the concept extraction literature from Ja...
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08/21/2019
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease?
Alzheimer's Disease (AD) is the most common type of dementia, comprising...
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06/23/2019
Cross-lingual Data Transformation and Combination for Text Classification
Text classification is a fundamental task for text data mining. In order...
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05/17/2019
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Machine learning has become ubiquitous and a key technology on mining el...
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01/22/2019
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model
Background: Widespread adoption of electronic health records (EHRs) has ...
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08/28/2018
MedSTS: A Resource for Clinical Semantic Textual Similarity
The wide adoption of electronic health records (EHRs) has enabled a wide...
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04/20/2018
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction
Objective: To automatically create large labeled training datasets and r...
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03/23/2018
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes
Postsurgical complications (PSCs) are known as a deviation from the norm...
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02/01/2018