QiPing Feng

Orcid: 0000-0002-6213-793X

According to our database1, QiPing Feng authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

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

Large language models facilitate the generation of electronic health record phenotyping algorithms.
J. Am. Medical Informatics Assoc., 2024

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

DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions.
J. Am. Medical Informatics Assoc., 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

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

2019
Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study.
J. Biomed. Informatics, 2019

Deep Learning Using Electronic Health Records and Genetic Data to Predict Cardiovascular Diseases.
Proceedings of the AMIA 2019, 2019

Combining Publicly-Available and Electronic Health Record Data to Reposition Drugs.
Proceedings of the AMIA 2019, 2019

2018
Using Topic Modeling to Identify Relationship between LPA Variant and Disease Phenotypes.
Proceedings of the AMIA 2018, 2018

EHR Extraction of Longitudinal Exposure to Proton Pump Inhibitors.
Proceedings of the AMIA 2018, 2018


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