Yajie Zhu

Yajie Zhu

University of Oxford

H-index: 15

Europe-United Kingdom

About Yajie Zhu

Yajie Zhu, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Machine Learning, Global Health.

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

Variations in the prevalence of scoliosis by age, sex, geographic region, and subtype among Chinese children: A systematic review and modelling study

Setting research priorities for global pandemic preparedness: An international consensus and comparison with ChatGPT’s output

Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysis

Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease (COPD) in 2019: a systematic review and modelling analysis

Sparse principal component analysis for statistical inference in the presence of multicollinearity: A case study of environmental exposures on all-cause mortality in UK biobank

Transfer learning in electronic health records through clinical concept embedding

BEHRT-HF: an interpretable transformer-based, deep learning model for prediction of incident heart failure

Disentangling multiple environmental stressors in relation to incident cardiovascular disease in UK Biobank: a sparse principal component analysis

Yajie Zhu Information

University

Position

___

Citations(all)

3595

Citations(since 2020)

3370

Cited By

824

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Yajie Zhu Skills & Research Interests

Machine Learning

Global Health

Top articles of Yajie Zhu

Variations in the prevalence of scoliosis by age, sex, geographic region, and subtype among Chinese children: A systematic review and modelling study

2024

Investigating the association of environmental exposures and all-cause mortality in the UK Biobank using sparse principal component analysis

Scientific Reports

2022/6/2

Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease (COPD) in 2019: a systematic review and modelling analysis

2022/5/1

Sparse principal component analysis for statistical inference in the presence of multicollinearity: A case study of environmental exposures on all-cause mortality in UK biobank

2022/2/2

Transfer learning in electronic health records through clinical concept embedding

arXiv preprint arXiv:2107.12919

2021/7/27

BEHRT-HF: an interpretable transformer-based, deep learning model for prediction of incident heart failure

European Heart Journal

2020/11

Disentangling multiple environmental stressors in relation to incident cardiovascular disease in UK Biobank: a sparse principal component analysis

ISEE Conference Abstracts

2020/8/27

Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta-analysis, and modelling study

2020/5/1

BEHRT: transformer for electronic health records

Scientific reports

2020/4/28

Asthma–chronic obstructive pulmonary disease overlap in China: prevalence, associated factors and comorbidities in middle-aged and older adults

Current Medical Research and Opinion

2020/4/2

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

2020/1/1

Learning multimorbidity patterns from electronic health records using non-negative matrix factorisation

Journal of Biomedical Informatics

2020/12/1

An interpretable model for incident heart failure prediction with uncertainty estimation

European Heart Journal

2020/11

See List of Professors in Yajie Zhu University(University of Oxford)

Co-Authors

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