Sicheng Zhou

Sicheng Zhou

University of Minnesota-Twin Cities

H-index: 10

North America-United States

About Sicheng Zhou

Sicheng Zhou, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Health Informatics, NLP, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records

An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing

CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records

Racial Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias from the Disease Progression Perspective

Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients

Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution

Cancerbert: a bert model for extracting breast cancer phenotypes from electronic health records

Identification of dietary supplement use from electronic health records using transformer-based language models

Sicheng Zhou Information

University

Position

University of Texas Health Science Center at Houston

Citations(all)

276

Citations(since 2020)

266

Cited By

53

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Sicheng Zhou Skills & Research Interests

Health Informatics

NLP

Machine Learning

Top articles of Sicheng Zhou

A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records

Computational and Structural Biotechnology Journal

2023/8/22

An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing

medRxiv

2023

CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records

Journal of the American Medical Informatics Association

2022/7/1

Racial Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias from the Disease Progression Perspective

2022/6/11

Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients

arXiv preprint arXiv:2201.13036

2022/1/31

Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution

AMIA Annual Symposium Proceedings

2022

Cancerbert: a bert model for extracting breast cancer phenotypes from electronic health records

arXiv preprint arXiv:2108.11303

2021/8/25

Identification of dietary supplement use from electronic health records using transformer-based language models

2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)

2021/10/15

Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text

Journal of the American Medical Informatics Association

2021/3/1

Natural language processing

2021/1/1

When text simplification is not enough: could a graph-based visualization facilitate consumers’ comprehension of dietary supplement information?

JAMIA open

2021/1/1

Exploring eating disorder topics on Twitter: machine learning approach

JMIR Medical Informatics

2020/10/30

Corrigendum to" Toward systems-centered analysis of patient safety events: Improving root cause analysis by optimized incident classification and information presentation"[Int …

Int. J. Medical Informatics

2020/5/1

Toward systems-centered analysis of patient safety events: Improving root cause analysis by optimized incident classification and information presentation (vol 135, 104054, 2020)

International Journal of Medical Informatics

2020/3/1

See List of Professors in Sicheng Zhou University(University of Minnesota-Twin Cities)

Co-Authors

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