Huayu Zhang

Accepting PhD Students

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Huayu Zhang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

7 Article
1 Conference contribution
1 Paper
1 Preprint

Ontology-driven and weakly supervised rare disease identification from clinical notes
Dong, H., Suárez-Paniagua, V., Zhang, H., Wang, M., Casey, A., Davidson, E., Chen, J., Alex, B., Whiteley, W. & Wu, H., 5 May 2023, In: Bmc medical informatics and decision making. 23, 1
Research output: Contribution to journal › Article › peer-review

Open Access
File
Ontology-based and weakly supervised rare disease phenotyping from clinical notes
Dong, H., Suárez-Paniagua, V., Zhang, H., Wang, M., Casey, A., Davidson, E., Chen, J., Alex, B., Whiteley, W. & Wu, H., 1 May 2022, ArXiv.
Research output: Working paper › Preprint
Increased COVID-19 mortality rate in rare disease patients: a retrospective cohort study in participants of the Genomics England 100,000 Genomes project
Zhang, H., Thygesen, J. H., Shi, T., Gkoutos, G. V., Hemingway, H., Guthrie, B. & Wu, H., 12 Apr 2022, In: Orphanet journal of rare diseases. 17, 1, 166.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
Dong, H., Suárez-Paniagua, V., Zhang, H., Wang, M., Whitfield, E. & Wu, H., 9 Dec 2021, p. 2298-2302. 5 p.
Research output: Contribution to conference › Paper

Open Access
File
KnowLab at BioCreative VII Track 5 LitCovid: Ensemble of deep learning models from diverse sources for COVID-19 literature classification
Dong, H., Wang, M., Zhang, H., Casey, A. & Wu, H., 8 Nov 2021, KnowLab at BioCreative VII Track 5 LitCovid: Ensemble of deep learning models from diverse sources for COVID-19 literature classification. BioCreative, Vol. Proceedings of the BioCreative VII Challenge Evaluation Workshop. p. 310-313 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File

Data driven approach for estimating risk for COVID19-related poor outcome for patients with rare diseases: an effort to inform vaccination scheduling
Zhang, H.
UK-based charities
1/01/21 → 31/12/21
Project: Research
Towards data-driven fine management of COVID-19 hospitalization risk for rare-disease patients
Zhang, H.
UK-based charities
1/08/20 → 30/09/21
Project: Research

Huayu Zhang

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Ontology-driven and weakly supervised rare disease identification from clinical notes

Ontology-based and weakly supervised rare disease phenotyping from clinical notes

Increased COVID-19 mortality rate in rare disease patients: a retrospective cohort study in participants of the Genomics England 100,000 Genomes project

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision

KnowLab at BioCreative VII Track 5 LitCovid: Ensemble of deep learning models from diverse sources for COVID-19 literature classification

Data driven approach for estimating risk for COVID19-related poor outcome for patients with rare diseases: an effort to inform vaccination scheduling

Towards data-driven fine management of COVID-19 hospitalization risk for rare-disease patients

Huayu Zhang

Fingerprint

Collaborations and top research areas from the last five years

Research output

Ontology-driven and weakly supervised rare disease identification from clinical notes

Ontology-based and weakly supervised rare disease phenotyping from clinical notes

Increased COVID-19 mortality rate in rare disease patients: a retrospective cohort study in participants of the Genomics England 100,000 Genomes project

Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision

KnowLab at BioCreative VII Track 5 LitCovid: Ensemble of deep learning models from diverse sources for COVID-19 literature classification

Projects

Data driven approach for estimating risk for COVID19-related poor outcome for patients with rare diseases: an effort to inform vaccination scheduling

Towards data-driven fine management of COVID-19 hospitalization risk for rare-disease patients