Forecasting User Interests Through Topic Tag Predictions in Online Health Communities-Reference-Cited by-同舟云学术

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities

Published:2023-07 Issue:7 Volume:27 Page:3645-3656
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Adishesha Amogh Subbakrishna¹^ORCID,Jakielaszek Lily¹,Azhar Fariha²,Zhang Peixuan³,Honavar Vasant¹^ORCID,Ma Fenglong¹^ORCID,Belani Chandra⁴^ORCID,Mitra Prasenjit¹,Huang Sharon Xiaolei¹^ORCID

Affiliation:

1. College of Information Sciences and Technology, Pennsylvania State University, State College, PA, USA

2. College of Engineering, Pennsylvania State University, State College, PA, USA

3. Department of Industrial and Manufacturing Engineering, Pennsylvania State University, State College, PA, USA

4. Department of Medicine, Penn State College of Medicine, Hershey, PA, USA

Funder

NSF

Center for Health Organization and Transformation

Penn State Institute of Computational and Data Sciences

Bundesministerium für Bildung und Forschung

Germanyunder the project LeibnizKILabor

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

https://ieeexplore.ieee.org/ielam/6221020/10171108/10110959-aam.pdf

Reference56 articles.

1. BAE: BERT-based Adversarial Examples for Text Classification

2. Limitations of Transformers on Clinical Text Classification

3. Improving cancer survivors’ e-health literacy via online health communities (OHCs): a social support perspective

4. CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification

5. From smartphone to EHR: a case report on integrating patient-generated health data

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