Ping Zhang

32 papers B 3Journal 12Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hybrid Bidirectional Deep Learning Model Using HRV for Prediction of ICU Mortality Risk in TBI Patients.
J. Heal. Informatics Res.
A Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Kelvin Ross, Brent Richards, Kuldeep Kumar, Luke J. Haseler, Ping Zhang
2025 — conf
Dynamic and Explainable Mortality Risk Prediction for TBI Patients in the ICU.
AIiH (1)
A Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Kelvin Ross, Brent Richards, Kuldeep Kumar, Luke J. Haseler, Ping Zhang
2022 J jnl
Building a knowledge base for colorectal cancer patient care using formal concept analysis.
BMC Medical Informatics Decis. Mak.
Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang
2022 — conf
Dietary Balance in Alzheimer's Patients vs. Healthy People.
BIBM
Tahera Ahmed, Ping Zhang, Kuldeep Kumar
2022 — conf
Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks.
BIBM
A Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Brent Richards, Kelvin Ross, Kuldeep Kumar, Luke J. Haseler, Meghan McConnell, Ping Zhang
2021 — conf
Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation.
BIBM
Kuldeep Kumar, Gulasekaran Rajaguru, Ping Zhang
2021 — conf
Socio-demographic, Lifestyle and Neuropsychological Risk Factors on Alzheimer's Disease.
BIBM
Tahera Ahmed, Ping Zhang, Kuldeep Kumar
2020 — conf
Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients.
BIBM
Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang
2020 J jnl
Utilizing heart rate variability to predict ICU patient outcome in traumatic brain injury.
BMC Bioinform.
Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler
2019 J jnl
A correlation-based network for biomarker discovery in obesity with metabolic syndrome.
BMC Bioinform.
Pin-Yen Chen, Allan Cripps, Nicholas P. West, Amanda J. Cox, Ping Zhang
2019 — conf
Predicting intensive care outcomes in traumatic brain injury using heart rate variability measures with feature extraction strategies.
BIBM
Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler
2019 J jnl
Selection of microbial biomarkers with genetic algorithm and principal component analysis.
BMC Bioinform.
Ping Zhang, Nicholas P. West, Pin-Yen Chen, Mike W. C. Thang, Gareth R. Price, Allan Cripps, Amanda J. Cox
2018 — conf
A WED Method for Evaluating the Performance of Change-Point Detection Algorithms.
BIBM
Jin-Peng Qi, Ying Zhu, Ping Zhang
2018 — conf
Combination of Principal Component Analysis and Genetic Algorithm for Microbial Biomarker Identification in Obesity.
BIBM
Ping Zhang, Nicholas P. West, Pin-Yen Chen, Allan Cripps, Amanda J. Cox
2018 — conf
Correlation-based network analysis for biomarkers in obesity.
BIBM
Pin-Yen Chen, Nicholas P. West, Ping Zhang, Amanda J. Cox, Allan Cripps
2018 J jnl
Elemental metabolomics.
Briefings Bioinform.
Ping Zhang, Constantinos A. Georgiou, Vladimir Brusic
2017 J jnl
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming.
Neurocomputing
Maryam Mahsal Khan, Alexandre Mendes, Ping Zhang, Stephan K. Chalup
2017 — conf
Integrated biomedical data analysis utilizing various types of data for biomarkers identification.
BIBM
Ping Zhang, Amanda J. Cox, Allan Cripps, Nicholas P. West
2015 J jnl
An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression.
BMC Bioinform.
Luke Vandewater, Vladimir Brusic, William J. Wilson, Lance S. Macaulay, Ping Zhang
2014 J jnl
Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease.
BMC Bioinform.
Piers Johnson, Luke Vandewater, William J. Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang
2013 — conf
Biomarkers in Immunology: from Concepts to Applications.
BCB
Ping Zhang, Lou Chitkushev, Vladimir Brusic, Guanglan Zhang
2010 — conf
Presenting a Simplified Assistant Tool for Breast Cancer Diagnosis in Mammography to Radiologists.
ICMB
Ping Zhang, Jenny Doust, Kuldeep Kumar
2009 J jnl
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization.
Briefings Bioinform.
Francesco Pappalardo, Mark D. Halling-Brown, Nicolas Rapin, Ping Zhang, Davide Alemani, Andrew P. J. Emerson, Paola Paci, Patrice Duroux, Marzio Pennisi, Arianna Palladini, Olivo Miotto, Daniel Churchill, Elda Rossi, Adrian J. Shepherd, David S. Moss, Filippo Castiglione, Massimo Bernaschi, Marie-Paule Lefranc, Søren Brunak, Santo Motta, Pierluigi Lollini, Kaye E. Basford, Vladimir Brusic
2008 — conf
A Hybrid Model for Prediction of Peptide Binding to MHC Molecules.
ICONIP (1)
Ping Zhang, Vladimir Brusic, Kaye E. Basford
2007 J jnl
A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms.
Appl. Soft Comput.
Brijesh K. Verma, Ping Zhang
2007 — conf
Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification.
PRIB
Liwen You, Ping Zhang, Mikael Bodén, Vladimir Brusic
2006 — conf
Analyzing Feature Significance from Various Systems for Mass Diagnosis.
CIMCA/IAWTIC
Ping Zhang, Kuldeep Kumar
2005 — conf
A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography.
FSKD (2)
Ping Zhang, Kuldeep Kumar, Brijesh K. Verma
2005 J jnl
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection.
Pattern Recognit. Lett.
Ping Zhang, Brijesh K. Verma, Kuldeep Kumar
2005 B conf
Optimization of parameters for effective Web information retrieval using an evolutionary algorithm.
IJCNN
John Zakos, Ping Zhang, Brijesh K. Verma
2004 B conf
A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography.
IJCNN
Ping Zhang, Brijesh K. Verma, Kuldeep Kumar
2003 B conf
Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography.
IEEE Congress on Evolutionary Computation
Ping Zhang, Brijesh K. Verma, Kuldeep Kumar