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Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation

Journal of medical Internet research, 2022-07, Vol.24 (7), p.e38584-e38584

2022

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PO2RDF: representation of real-world data for precision oncology using resource description framework

BMC medical genomics, 2022-07, Vol.15 (1), p.1-167, Article 167

2022

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Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review

Clinical and translational science, 2023-03, Vol.16 (3), p.398-411

2023

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Computational drug repurposing based on electronic health records: a scoping review

NPJ digital medicine, 2022-06, Vol.5 (1), p.77-8, Article 77

2022

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

JMIR human factors, 2022-05, Vol.9 (2), p.e35187-e35187

2022

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Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations

Bioinformatics (Oxford, England), 2017-08, Vol.33 (15), p.2337-2344

2017

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Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease

Journal of the American Medical Informatics Association : JAMIA, 2023-09, Vol.30 (10), p.1645-1656

2023

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Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench

Journal of the American Medical Informatics Association : JAMIA, 2022-05, Vol.29 (6), p.1128-1128

2022

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Using EHR data and machine learning approach to facilitate the identification of patients with lung cancer from a pan-cancer cohort

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.e13552-e13552

2023

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Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench

Journal of the American Medical Informatics Association : JAMIA, 2021-10, Vol.28 (11), p.2313-2324

2021

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Drug–target prediction utilizing heterogeneous bio-linked network embeddings

Briefings in bioinformatics, 2021-01, Vol.22 (1), p.568-580

2021

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BETA: a comprehensive benchmark for computational drug–target prediction

Briefings in bioinformatics, 2022-07, Vol.23 (4)

2022

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Finding useful data across multiple biomedical data repositories using DataMed

Nature genetics, 2017-06, Vol.49 (6), p.816-819

2017

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A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction

Journal of the American Medical Informatics Association : JAMIA, 2024-06, Vol.31 (7), p.1493-1502

2024

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Constructing faceted taxonomy for heterogeneous entities based on object properties in linked data

Data & knowledge engineering, 2017-11, Vol.112, p.79-93

2017

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The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records

Studies in health technology and informatics, 2022-06, Vol.290, p.173

2022

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Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction

Journal of the American Medical Informatics Association : JAMIA, 2024-08, Vol.31 (8), p.1671-1681

2024

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DataMed – an open source discovery index for finding biomedical datasets

Journal of the American Medical Informatics Association : JAMIA, 2018-03, Vol.25 (3), p.300-308

2018

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Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration

Journal of biomedical informatics, 2022-03, Vol.127, p.104002-104002, Article 104002

2022

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FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model

Journal of biomedical informatics, 2022-10, Vol.134, p.104201-104201, Article 104201

2022

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Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data

International journal of medical informatics (Shannon, Ireland), 2021-01, Vol.145, p.104308-104308, Article 104308

2021

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STRUCTURALIZING BIOMEDICAL ABSTRACTS WITH DISCRIMINATIVE LINGUISTIC FEATURES

Computers in biology and medicine, 2016-12, Vol.79, p.276-285

2016

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Deep Denoising of Raw Biomedical Knowledge Graph from COVID-19 Literature, LitCovid and Pubtator

Journal of medical Internet research, 2022-05

2022

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Clinical progress of human papillomavirus genotypes and their persistent infection in subjects with atypical squamous cells of undetermined significance cytology: Statistical and latent Dirichlet allocation analysis

Experimental and therapeutic medicine, 2017-06, Vol.13 (6), p.3032-3038

2017

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Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships

Computers in biology and medicine, 2017-08, Vol.87, p.217-229

2017

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Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation

PO2RDF: representation of real-world data for precision oncology using resource description framework

Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review

Computational drug repurposing based on electronic health records: a scoping review

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

Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations

Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease

Correction to: Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench

Using EHR data and machine learning approach to facilitate the identification of patients with lung cancer from a pan-cancer cohort

Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench

Drug–target prediction utilizing heterogeneous bio-linked network embeddings

BETA: a comprehensive benchmark for computational drug–target prediction

Finding useful data across multiple biomedical data repositories using DataMed

A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction

Constructing faceted taxonomy for heterogeneous entities based on object properties in linked data

The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction

DataMed – an open source discovery index for finding biomedical datasets

Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model

Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data

STRUCTURALIZING BIOMEDICAL ABSTRACTS WITH DISCRIMINATIVE LINGUISTIC FEATURES

Deep Denoising of Raw Biomedical Knowledge Graph from COVID-19 Literature, LitCovid and Pubtator

Clinical progress of human papillomavirus genotypes and their persistent infection in subjects with atypical squamous cells of undetermined significance cytology: Statistical and latent Dirichlet allocation analysis

Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships

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