Journal of Medical Internet Research

For instance, Wang et al [48] used MTerms [49] to mine existing UMLS concepts from clinical narratives associated with COVID-19 positivity to build a lexicon of 355 long COVID-19 symptoms. We use their developed lexicon as one of the bases for further development in this study. We developed the OHNLPTK as part of previous work to enable the rapid development and dissemination of NLP algorithms for empowering clinical research and translation [50].

Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Sijia Liu, David A Hanauer, Daniel R Harris, Ramakanth Kavuluru, Rui Zhang, Karthik Natarajan, Nishanth P Pavinkurve, Janos Hajagos, Sritha Rajupet, Veena Lingam, Mary Saltz, Corey Elowsky, Richard A Moffitt, Farrukh M Koraishy, Matvey B Palchuk, Jordan Donovan, Lora Lingrey, Garo Stone-DerHagopian, Robert T Miller, Andrew E Williams, Peter J Leese, Paul I Kovach, Emily R Pfaff, Mikhail Zemmel, Robert D Pates, Nick Guthe, Melissa A Haendel, Christopher G Chute, Hongfang Liu, National COVID Cohort Collaborative, The RECOVER Initiative

JMIR Med Inform 2024;12:e49997

Download Citation: END BibTex RIS

Download PDF Download XML

Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers–Assisted Sublanguage Analysis

Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis

Ming Huang, Aditya Khurana, George Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Julie Prigge, Brian Costello, Nilay Shah, Henry Ting, Jungwei Fan, Christi Patten, Hongfang Liu

JMIR Hum Factors 2022;9(2):e35187

Download Citation: END BibTex RIS

Download PDF Download XML

Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation

Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William Hersh, Hongfang Liu

JMIR Med Inform 2020;8(10):e17376

Download Citation: END BibTex RIS

Download PDF Download XML

Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data

Suyuan Peng, Feichen Shen, Andrew Wen, Liwei Wang, Yadan Fan, Xusheng Liu, Hongfang Liu

J Med Internet Res 2019;21(12):e14204

Download Citation: END BibTex RIS

Download PDF Download XML

Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches

Wang et al made a comparison among clinical notes, biomedical literature, and their combination to test their performances with word embeddings [24]. Torii et al showed the performance for concept extraction using machine learning taggers across narratives from heterogeneous data sources [25]. A GOstruct extension was developed to annotate protein functions from heterogeneous data [26].

Feichen Shen, Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Hongfang Liu

JMIR Med Inform 2018;6(4):e11301

Download Citation: END BibTex RIS

Download PDF Download XML

Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches

For example, Wang and Blei [14] used topic modeling to generate an interpretable latent structure for users and items, which can provide recommendations about both existing and newly published scientific articles. In information retrieval, topic modeling can be effective in enabling the incorporation of hidden semantics [15]. In the clinical domain, there are many information retrieval applications [16], including clinical decision support.

Yuqun Zeng, Xusheng Liu, Yanshan Wang, Feichen Shen, Sijia Liu, Majid Rastegar Mojarad, Liwei Wang, Hongfang Liu

J Med Internet Res 2017;19(10):e342

Download Citation: END BibTex RIS

Download PDF Download XML

Search Articles

Search Results (1 to 8 of 8 Results)