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Ka-Chun Wong
PeerJ Editor, Author & Reviewer
1,875 Points

Contributions by role

Reviewer 70
Editor 1,805

Contributions by subject area

Bioinformatics
Databases
Computational Biology
Pathology
Computational Science
Data Mining and Machine Learning
Algorithms and Analysis of Algorithms
Data Science
Optimization Theory and Computation
Scientific Computing and Simulation
Operating Systems
Neural Networks
Artificial Intelligence
Security and Privacy
Computer Education
World Wide Web and Web Science
Human-Computer Interaction
Text Mining

Ka-Chun Wong

PeerJ Editor, Author & Reviewer

Summary

BEng MPhil CUHK, PhD Toronto

Bioinformatics Computational Biology Computational Science Data Mining & Machine Learning Data Science Optimization Theory & Computation

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

City University of Hong Kong

Work details

Professor

City University of Hong Kong
Computer Science
Bioinformatics Computational Biology Applied Machine Learning Data Science

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 14
  • Reviewed 2

Academic Editor on

February 26, 2024
Ensemble machine learning reveals key features for diabetes duration from electronic health records
Gabriel Cerono, Davide Chicco
https://doi.org/10.7717/peerj-cs.1896
December 8, 2023
Survival and grade of the glioma prediction using transfer learning
Santiago Valbuena Rubio, María Teresa García-Ordás, Oscar García-Olalla Olivera, Héctor Alaiz-Moretón, Maria-Inmaculada González-Alonso, José Alberto Benítez-Andrades
https://doi.org/10.7717/peerj-cs.1723
October 4, 2023
Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence
Cristiana Tudor, Robert Aurelian Sova
https://doi.org/10.7717/peerj-cs.1518
August 21, 2023
Research on automatic matching of online mathematics courses and design of teaching activities based on multiobjective optimization algorithm
Jiafeng Li, Lixia Cao, Guoliang Zhang
https://doi.org/10.7717/peerj-cs.1501
January 10, 2023
Application of deep learning for bronchial asthma diagnostics using respiratory sound recordings
Theodore Aptekarev, Vladimir Sokolovsky, Evgeny Furman, Natalia Kalinina, Gregory Furman
https://doi.org/10.7717/peerj-cs.1173
August 30, 2022
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism
Hao Li, Zhuojian Wang, Zhe Li
https://doi.org/10.7717/peerj-cs.1084
June 10, 2022
A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data
Serdar Arslan
https://doi.org/10.7717/peerj-cs.1001
March 17, 2022
Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients
Amril Nazir, Hyacinth Kwadwo Ampadu
https://doi.org/10.7717/peerj-cs.889
July 28, 2021
A new smart healthcare framework for real-time heart disease detection based on deep and machine learning
Haitham Elwahsh, Engy El-shafeiy, Saad Alanazi, Medhat A. Tawfeek
https://doi.org/10.7717/peerj-cs.646
June 1, 2021
Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments
Muhammad Hamraz, Naz Gul, Mushtaq Raza, Dost Muhammad Khan, Umair Khalil, Seema Zubair, Zardad Khan
https://doi.org/10.7717/peerj-cs.562
April 21, 2021
A novel deep autoencoder based survival analysis approach for microarray dataset
Hanaa Torkey, Mostafa Atlam, Nawal El-Fishawy, Hanaa Salem
https://doi.org/10.7717/peerj-cs.492
March 12, 2021
DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC
Osman Altay, Mustafa Ulas, Kursat Esat Alyamac
https://doi.org/10.7717/peerj-cs.411
February 17, 2021
Open-source data management system for Parkinson’s disease follow-up
João Paulo Folador, Marcus Fraga Vieira, Adriano Alves Pereira, Adriano de Oliveira Andrade
https://doi.org/10.7717/peerj-cs.396
September 14, 2020
Managing slow-moving item: a zero-inflated truncated normal approach for modeling demand
Fernando Rojas, Peter Wanke, Giuliani Coluccio, Juan Vega-Vargas, Gonzalo F. Huerta-Canepa
https://doi.org/10.7717/peerj-cs.298

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

July 25, 2018
Integrative machine learning analysis of multiple gene expression profiles in cervical cancer
Mei Sze Tan, Siow-Wee Chang, Phaik Leng Cheah, Hwa Jen Yap
https://doi.org/10.7717/peerj.5285 PubMed 30065881
February 3, 2016
PATACSDB—the database of polyA translational attenuators in coding sequences
Malgorzata Habich, Sergej Djuranovic, Pawel Szczesny
https://doi.org/10.7717/peerj-cs.45