Faculty

Institution

Unit

Venue

Keyuan Jiang

Purdue University Northwest

Affiliations

Department Of Information Systems And Computer Programming

Purdue University Northwest

University College

School Of The Graduate

Studies Of Office Of Graduate

NoneKeyuan Jiang is currently serving as a Information Systems And Computer Programming faculty at Purdue University Northwest.

Honors

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Experiences

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Education

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Keyuan Jiang

Purdue University Northwest

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medical internet research health information science data science social media natural language processing health informatics text mining social medium data social medium mining social medium monitoring computer science online information content analysis cloud computing digital medicine biomedical text mining communication systems engineering knowledge discovery biomedical informatics health technology communicable diseases social medium intelligence cloud resource management word embeddings covid-19 pandemic network science network analysis global networks cloud scheduling scheduling (computing) personal experience tweets evolutionary computation social simulation machine learning research multimedia computing databases cluster computing community structure community discovery community mining social data analysis xml database biological databases video surveillance drug intelligence nlp task ai healthcare community detection medication effects applied pharmacology scheduling problems genetic algorithms semantic social network mobile health real world data camera network treatment effects information propagation web semantics fuzzy pattern recognition fuzzy optimization fuzzy clustering potential drug effects johnson's-rule-based genetic algorithm two-stage-task scheduling problem word embedding lstm neural network personal health experience user model heterogeneous social networks health surveillance deep gramulator personal health-experience tweets energy-optimization-based method graph partitioning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Normalizing Health Concepts With Biomedical Embedding and Llms. Underline Science Inc. (2026)

health information sciencehealth informaticsnatural language processingdata sciencebiomedical text mininghealth conceptsdisease classificationbiomedical data sciencebiomedical informatics

A Neural Embedding Approach to Mapping Health Concepts to Concept Unique Identifiers. Studies in health technology and informatics (2025)

concept unique identifiershealth information sciencehealth informaticshealth sciencesword embeddingsdata scienceneural computationbiomedical text miningneural embedding approachmapping health conceptsdisease classificationneural network (machine learning)ai healthcarebiomedical informatics

Batch Classification of Text Data for Personal Health Experience Identification With Llm Batch Prompting. (2025)

digital healthhealth information sciencehealth informaticsdigital medicinehealth technologyautomatic classificationnatural language processingbatch classificationtext datadata sciencebiomedical text miningllm batchpublic healthpersonalized medicinedata miningclinical datahealth datatext mining

Answering List-Type Questions in Health Domain With Pretrained Large Language Model: A Case for Covid-19 Symptoms. Studies in health technology and informatics (2024)

health information sciencehealth domainhealth informaticslist-type questionscovid-19communicable diseasescovid-19 symptomspublic healthglobal healthtranslational relevancecovid-19 pandemicepidemiology

The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024)

health information sciencesocial media postslanguage modelssemantic evaluationnatural language processingnatural languagelanguagelarge language modelsnlp taskunderstanding health conceptslinguisticshealth communicationtext mining

Detection of Day-Based Health Evidence With Pretrained Large Language Models: A Case of Covid-19 Symptoms in Social Media Posts. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)

day-based health evidencesocial media postssocial medium monitoringlanguage modelsnatural language processingcovid-19medical internet researchcommunicable diseasesdisease surveillancecovid-19 symptomspublic healthcovid-19 pandemicepidemiology

Few-Shot Learning for Identification of Covid-19 Symptoms Using Generative Pre-Trained Transformer Language Models. Communications in computer and information science (2023)

deep learningnatural language generationlanguage modelsinfectious diseasesmachine learningnatural language processingcovid-19few-shot learningcommunicable diseasesdiagnosismachine learning researchcovid-19 pandemicepidemiology

Large Language Model as Unsupervised Health Information Retriever. Studies in health technology and informatics (2023)

health information sciencehealth informaticslanguage modelsnatural language processinglanguage resourcesdata sciencelarge language models

Discovery of Covid-19 Symptomatic Experience Reported by Twitter Users. Studies in health technology and informatics (2022)

sars-cov-2infectious diseasesinfectious diseases (medical specialty)epidemic intelligencecovid-19medical internet researchsymptom managementcommunicable diseasestwitter userscovid-19 pandemichealth communicationepidemiology

Extraction of Medication-Effect Relations in Twitter Data With Neural Embedding and Recurrent Neural Network. Studies in health technology and informatics (2022)

pharmacologyhealth informaticsdigital medicinehealth sciencesmedicinemedication-effect relationsnatural language processingbiomedical text miningrecurrent neural networksrelationship extractionneural embeddingtext mining

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Keyuan Jiang

Purdue University Northwest

Affiliations

Department Of Information Systems And Computer Programming

Purdue University Northwest

University College

School Of The Graduate

Studies Of Office Of Graduate

NoneKeyuan Jiang is currently serving as a Information Systems And Computer Programming faculty at Purdue University Northwest.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Keyuan Jiang

Purdue University Northwest

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Normalizing Health Concepts With Biomedical Embedding and Llms. Underline Science Inc. (2026)

health information sciencehealth informaticsnatural language processingdata sciencebiomedical text mininghealth conceptsdisease classificationbiomedical data sciencebiomedical informatics

A Neural Embedding Approach to Mapping Health Concepts to Concept Unique Identifiers. Studies in health technology and informatics (2025)

Batch Classification of Text Data for Personal Health Experience Identification With Llm Batch Prompting. (2025)

Answering List-Type Questions in Health Domain With Pretrained Large Language Model: A Case for Covid-19 Symptoms. Studies in health technology and informatics (2024)

The Ability of Pretrained Large Language Models in Understanding Health Concepts in Social Media Posts. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024)

Few-Shot Learning for Identification of Covid-19 Symptoms Using Generative Pre-Trained Transformer Language Models. Communications in computer and information science (2023)

Large Language Model as Unsupervised Health Information Retriever. Studies in health technology and informatics (2023)

health information sciencehealth informaticslanguage modelsnatural language processinglanguage resourcesdata sciencelarge language models

Discovery of Covid-19 Symptomatic Experience Reported by Twitter Users. Studies in health technology and informatics (2022)

Extraction of Medication-Effect Relations in Twitter Data With Neural Embedding and Recurrent Neural Network. Studies in health technology and informatics (2022)

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