186 citations · 334 across the 20 of their papers we have counts for
20 papers
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence
David Oniani, Jordan Hilsman, Yifan Peng +5
In 2020, the U.S. Department of Defense officially disclosed a set of ethical principles to guide the use of Artificial Intelligence (AI) technologies on future battlefields. Despi…
Large Language Models Vote: Prompting for Rare Disease Identification
David Oniani, Jordan Hilsman, Hang Dong +3
The emergence of generative Large Language Models (LLMs) emphasizes the need for accurate and efficient prompting approaches. LLMs are often applied in Few-Shot Learning (FSL) cont…
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records
Sonish Sivarajkumar, Yufei Huang, Yanshan Wang
Objective: To pre-train fair and unbiased patient representations from Electronic Health Records (EHRs) using a novel weighted loss function that reduces bias and improves fairness…
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
Liyan Tang, Yifan Peng, Yanshan Wang +3
A human decision-maker benefits the most from an AI assistant that corrects for their biases. For problems such as generating interpretation of a radiology report given findings, a…
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research
David Oniani, Bambang Parmanto, Andi Saptono +9
Rehabilitation research focuses on determining the components of a treatment intervention, the mechanism of how these components lead to recovery and rehabilitation, and ultimately…
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
Sonish Sivarajkumar, Fengyi Gao, Parker E. Denny +4
Post-stroke patient rehabilitation requires precise, personalized treatment plans. Natural Language Processing (NLP) offers potential to extract valuable exercise information from…
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models
David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida +6
Health literacy is the central focus of Healthy People 2030, the fifth iteration of the U.S. national goals and objectives. People with low health literacy usually have trouble und…
Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing
Hunter Osterhoudt, Courtney E. Schneider, Haneef A Mohammad +5
Strategy training is a multidisciplinary rehabilitation approach that teaches skills to reduce disability among those with cognitive impairments following a stroke. Strategy traini…
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes
Can Zheng, Yanshan Wang, Xiaowei Jia
Semantic textual similarity (STS) in the clinical domain helps improve diagnostic efficiency and produce concise texts for downstream data mining tasks. However, given the high deg…
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks
David Oniani, Sonish Sivarajkumar, Yanshan Wang
Clinical Natural Language Processing (NLP) has become an emerging technology in healthcare that leverages a large amount of free-text data in electronic health records (EHRs) to im…
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing
Sonish Sivarajkumar, Yanshan Wang
Deep learning algorithms are dependent on the availability of large-scale annotated clinical text datasets. The lack of such publicly available datasets is the biggest bottleneck f…
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes
Bhavani Singh Agnikula Kshatriya, Nicolas A Nunez, Manuel Gardea- Resendez +6
Major depressive disorder (MDD) is a prevalent psychiatric disorder that is associated with significant healthcare burden worldwide. Phenotyping of MDD can help early diagnosis and…
Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: A scoping review
Anusha Bompelli, Yanshan Wang, Ruyuan Wan +8
Background: There is growing evidence that social and behavioral determinants of health (SBDH) play a substantial effect in a wide range of health outcomes. Electronic health recor…
Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision
Zitao Shen, Yoonkwon Yi, Anusha Bompelli +3
Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle factor changes and interventions. Analyzing electronic health…
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
David Oniani, Yanshan Wang
COVID-19 has resulted in an ongoing pandemic and as of 12 June 2020, has caused more than 7.4 million cases and over 418,000 deaths. The highly dynamic and rapidly evolving situati…
Clinical Concept Extraction: a Methodology Review
Sunyang Fu, David Chen, Huan He +10
Background Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinica…
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease?
Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson +4
Alzheimer's Disease (AD) is the most common type of dementia, comprising 60-80% of cases. There were an estimated 5.8 million Americans living with Alzheimer's dementia in 2019, an…
MedSTS: A Resource for Clinical Semantic Textual Similarity
Yanshan Wang, Naveed Afzal, Sunyang Fu +4
The wide adoption of electronic health records (EHRs) has enabled a wide range of applications leveraging EHR data. However, the meaningful use of EHR data largely depends on our a…
A Comparison of Word Embeddings for the Biomedical Natural Language Processing
Yanshan Wang, Sijia Liu, Naveed Afzal +5
Word embeddings have been widely used in biomedical Natural Language Processing (NLP) applications as they provide vector representations of words capturing the semantic properties…
Generalized Ensemble Model for Document Ranking in Information Retrieval
Yanshan Wang, In-Chan Choi, Hongfang Liu
A generalized ensemble model (gEnM) for document ranking is proposed in this paper. The gEnM linearly combines basis document retrieval models and tries to retrieve relevant docume…