Wei-Qi Wei
Orcid: 0000-0003-4985-056X
According to our database1,
Wei-Qi Wei
authored at least 52 papers
between 2010 and 2024.
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Bibliography
2024
Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records.
J. Am. Medical Informatics Assoc., January, 2024
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation.
npj Digit. Medicine, 2024
2023
Representing and utilizing clinical textual data for real world studies: An OHDSI approach.
J. Biomed. Informatics, June, 2023
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository.
J. Am. Medical Informatics Assoc., June, 2023
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction.
J. Biomed. Informatics, February, 2023
Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping.
J. Am. Medical Informatics Assoc., February, 2023
J. Am. Medical Informatics Assoc., February, 2023
Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort.
J. Am. Medical Informatics Assoc., January, 2023
2022
Natural language processing to identify lupus nephritis phenotype in electronic health records.
BMC Medical Informatics Decis. Mak., December, 2022
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
BMC Medical Informatics Decis. Mak., 2022
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
2021
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies.
npj Digit. Medicine, 2021
A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19.
J. Biomed. Informatics, 2021
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes.
J. Biomed. Informatics, 2021
J. Biomed. Informatics, 2021
Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort.
J. Biomed. Informatics, 2021
DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions.
J. Am. Medical Informatics Assoc., 2021
Natural language processing to identify lupus nephritis phenotype in electronic health records.
CoRR, 2021
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Early Detect COVID-19 Presenting Symptoms and Characteristics Using Natural Language Processing on Electronic Health Records.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.
J. Am. Medical Informatics Assoc., 2020
Detecting National Institutes of Health's funding interests and trends using Machine Learning.
Proceedings of the AMIA 2020, 2020
The All of Us Research Program Researcher Workbench Phenotype Library: Five Disease Implementations.
Proceedings of the AMIA 2020, 2020
2019
Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study.
J. Biomed. Informatics, 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics, 2019
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Deep Learning Using Electronic Health Records and Genetic Data to Predict Cardiovascular Diseases.
Proceedings of the AMIA 2019, 2019
Proceedings of the AMIA 2019, 2019
2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Using Topic Modeling to Identify Relationship between LPA Variant and Disease Phenotypes.
Proceedings of the AMIA 2018, 2018
2017
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
J. Am. Medical Informatics Assoc., 2017
A Phenome-Wide Association Study (PheWAS) of Iron Deficiency in a Large Electronic Health Record Database.
Proceedings of the AMIA 2017, 2017
Association of BMI and Obesity Genetic Risk Score with Surgical Procedures Through a Procedure-wide Association Study.
Proceedings of the AMIA 2017, 2017
2016
Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.
J. Am. Medical Informatics Assoc., 2016
2015
Assessing the role of a medication-indication resource in the treatment relation extraction from clinical text.
J. Am. Medical Informatics Assoc., 2015
Quantifying Tobacco Exposure Using Clinical Notes and Natural Language Processing to Enable Lung Cancer Screening.
Proceedings of the AMIA 2015, 2015
2014
Evaluation of Diagnosis Codes, Clinical Notes, and Medications on Identifying Subjects with a Specific Disease Phenotype.
Proceedings of the AMIA 2014, 2014
2013
Terminology representation guidelines for biomedical ontologies in the semantic web notations.
J. Biomed. Informatics, 2013
Development and evaluation of an ensemble resource linking medications to their indications.
J. Am. Medical Informatics Assoc., 2013
The absence of longitudinal data limits the accuracy of high-throughput clinical phenotyping for identifying type 2 diabetes mellitus subjects.
Int. J. Medical Informatics, 2013
Analyzing Differences between Chinese and English Clinical Text: A Cross-Institution Comparison of Discharge Summaries in Two Languages.
Proceedings of the MEDINFO 2013, 2013
Validation and Enhancement of a Computable Medication Indication Resource (MEDI) Using a Large Practice-based Dataset.
Proceedings of the AMIA 2013, 2013
Using PheWAS and Natural Language Processing to Discover Clinical Associations for Congenital Chest Deformities.
Proceedings of the AMIA 2013, 2013
Classifying ICD-9 codes into meaningful disease categories: A comparison between two coding systems.
Proceedings of the AMIA 2013, 2013
2012
Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus.
J. Am. Medical Informatics Assoc., 2012
Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.
J. Am. Medical Informatics Assoc., 2012
Proceedings of the AMIA 2012, 2012
Proceedings of the AMIA 2012, 2012
2010
Time-Oriented Question Answering from Clinical Narratives Using Semantic-Web Techniques.
Proceedings of the Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, 2010