Shang-Ming Zhou

Shang-Ming Zhou

University of Plymouth

H-index: 26

Europe-United Kingdom

About Shang-Ming Zhou

Shang-Ming Zhou, With an exceptional h-index of 26 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Plymouth, specializes in the field of AI for Healthcare & Medicine, Health Informatics, Health Data Science, Machine learning, Computational Intelligence.

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

Identifying dynamic patterns of polypharmacy for patients with dementia from primary care electronic health records: a machine learning driven longitudinal study

Machine learning in colorectal cancer risk prediction from routinely collected data: a review

A Dual-Based Pruning Method for the Least-Squares Support Vector Machine

Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users

Predicting hospital readmission for campylobacteriosis from electronic health records: A machine learning and text mining perspective

Towards a Shapley Value Graph Framework for Medical peer-influence

A comparison of explanations given by explainable artificial intelligence methods on analysing electronic health records

TOWARDS A SHAPLEY VALUE GRAPH FRAMEWORK FOR

Shang-Ming Zhou Information

University

Position

___

Citations(all)

2783

Citations(since 2020)

1046

Cited By

2114

hIndex(all)

26

hIndex(since 2020)

18

i10Index(all)

44

i10Index(since 2020)

30

Email

University Profile Page

University of Plymouth

Google Scholar

View Google Scholar Profile

Shang-Ming Zhou Skills & Research Interests

AI for Healthcare & Medicine

Health Informatics

Health Data Science

Machine learning

Computational Intelligence

Top articles of Shang-Ming Zhou

Title

Journal

Author(s)

Publication Date

Identifying dynamic patterns of polypharmacy for patients with dementia from primary care electronic health records: a machine learning driven longitudinal study

Aging and Disease

Elisabetta Longo

Bruce Burnett

Sarah Bauermeister

Shang-Ming Zhou

2023/4/4

Machine learning in colorectal cancer risk prediction from routinely collected data: a review

Bruce Burnett

Shang-Ming Zhou

Sinead Brophy

Phil Davies

Paul Ellis

...

2023/1/13

A Dual-Based Pruning Method for the Least-Squares Support Vector Machine

IFAC-PapersOnLine

Xiao-Lei Xia

Shang-Ming Zhou

Mingxing Ouyang

Dafang Xiang

Zhijun Zhang

...

2023/1/1

Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users

JMIR Human Factors

Zahra Almowil

Shang-Ming Zhou

Sinead Brophy

Jodie Croxall

2022/3/15

Predicting hospital readmission for campylobacteriosis from electronic health records: A machine learning and text mining perspective

Journal of Personalized Medicine

Shang-Ming Zhou

Ronan A Lyons

Muhammad A Rahman

Alexander Holborow

Sinead Brophy

2022/1/10

Towards a Shapley Value Graph Framework for Medical peer-influence

arXiv preprint arXiv:2112.14624

Jamie Duell

Monika Seisenberger

Gert Aarts

Shangming Zhou

Xiuyi Fan

2021/12/29

A comparison of explanations given by explainable artificial intelligence methods on analysing electronic health records

Jamie Duell

Xiuyi Fan

Bruce Burnett

Gert Aarts

Shang-Ming Zhou

2021/7/27

TOWARDS A SHAPLEY VALUE GRAPH FRAMEWORK FOR

arXiv preprint arXiv:2112.14624

Jamie Duell

Monika Seisenberger

Gert Aarts

Shangming Zhou

Xiuyi Fan

2021/12

Automatically generating natural language descriptions of images by a deep hierarchical framework

IEEE Transactions on Cybernetics

Lin Huo

Lin Bai

Shang-Ming Zhou

2021/1/5

Exmed: An ai tool for experimenting explainable ai techniques on medical data analytics

Marcin Kapcia

Hassan Eshkiki

Jamie Duell

Xiuyi Fan

Shangming Zhou

...

2021/11/1

Concept libraries for automatic electronic health record based phenotyping: a review

Zahra A Almowil

Shang-Ming Zhou

Sinead Brophy

2021

Mining primary care electronic health records for automatic disease phenotyping: a transparent machine learning framework

Diagnostics

Fabiola Fernández-Gutiérrez

Jonathan I Kennedy

Roxanne Cooksey

Mark Atkinson

Ernest Choy

...

2021/10/15

Identifying prenatal and postnatal determinants of infant growth: a structural equation modelling based cohort analysis

International journal of environmental research and public health

Kelly Morgan

Shang-Ming Zhou

Rebecca Hill

Ronan A Lyons

Shantini Paranjothy

...

2021/1

A national initiative in data science for health: an evaluation of the UK Farr Institute

International Journal of Population Data Science

Harry Hemingway

Ronan Lyons

Qianrui Li

Iain Buchan

John Ainsworth

...

2020

Modeling large sparse data for feature selection: hospital admission predictions of the dementia patients using primary care electronic health records

IEEE Journal of Translational Engineering in Health and Medicine

Gavin Tsang

Shang-Ming Zhou

Xianghua Xie

2020/11/24

Type-1 OWA operators in aggregating multiple sources of uncertain information: properties and real-world applications in integrated diagnosis

IEEE Transactions on Fuzzy Systems

Shang-Ming Zhou

Francisco Chiclana

Robert I John

Jonathan M Garibaldi

Lin Huo

2020/5/6

See List of Professors in Shang-Ming Zhou University(University of Plymouth)