Ping Zhang

Orcid: 0000-0002-3907-1127

Affiliations:
  • Bond University, Faculty of Health Sciences and Medicine, Robina, QLD, Australia


According to our database1, Ping Zhang authored at least 28 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Building a knowledge base for colorectal cancer patient care using formal concept analysis.
BMC Medical Informatics Decis. Mak., 2022

Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Dietary Balance in Alzheimer's Patients vs. Healthy People.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Socio-demographic, Lifestyle and Neuropsychological Risk Factors on Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Utilizing heart rate variability to predict ICU patient outcome in traumatic brain injury.
BMC Bioinform., 2020

Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Selection of microbial biomarkers with genetic algorithm and principal component analysis.
BMC Bioinform., 2019

A correlation-based network for biomarker discovery in obesity with metabolic syndrome.
BMC Bioinform., 2019

Predicting intensive care outcomes in traumatic brain injury using heart rate variability measures with feature extraction strategies.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Elemental metabolomics.
Briefings Bioinform., 2018

Combination of Principal Component Analysis and Genetic Algorithm for Microbial Biomarker Identification in Obesity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A WED Method for Evaluating the Performance of Change-Point Detection Algorithms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Correlation-based network analysis for biomarkers in obesity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming.
Neurocomputing, 2017

Integrated biomedical data analysis utilizing various types of data for biomarkers identification.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2015
An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression.
BMC Bioinform., December, 2015

2014
Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease.
BMC Bioinform., 2014

2013
Biomarkers in Immunology: from Concepts to Applications.
Proceedings of the ACM Conference on Bioinformatics, 2013

2010
Presenting a Simplified Assistant Tool for Breast Cancer Diagnosis in Mammography to Radiologists.
Proceedings of the Medical Biometrics, Second International Conference, 2010

2009
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization.
Briefings Bioinform., 2009

2008
A Hybrid Model for Prediction of Peptide Binding to MHC Molecules.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms.
Appl. Soft Comput., 2007

Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

2006
Analyzing Feature Significance from Various Systems for Mass Diagnosis.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection.
Pattern Recognit. Lett., 2005

A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2003
Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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