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Davide Chicco
Bronze Contributor
5,700 Points

Contributions by role

Author 270
Reviewer 30
Editor 5,400

Contributions by subject area

Bioinformatics
Computational Biology
Artificial Intelligence
Data Mining and Machine Learning
Data Science
Molecular Biology
Text Mining
Algorithms and Analysis of Algorithms
Natural Language and Speech
Neural Networks
Visual Analytics
Computer Vision
Distributed and Parallel Computing
Optimization Theory and Computation
Security and Privacy
Spatial and Geographic Information Systems
Adaptive and Self-Organizing Systems
Computer Networks and Communications
Cryptography
Orthopedics
Computational Science
Theory and Formal Methods
Human-Computer Interaction
Brain-Computer Interface
Graphics
Computational Linguistics
Internet of Things
Software Engineering
Agents and Multi-Agent Systems
Bronze Contributor

Davide Chicco

PeerJ Editor, Author & Reviewer

Summary

Davide Chicco is a scientific researcher at the University of Toronto. He received his PhD. from Politecnico di Milano in 2014, and his MSc. in Computer Science from the University of Genoa, Italy in 2010. From September 2018 to January 2020 he was a researcher at the University Health Network (Toronto, Ontario, Canada). Davide Chicco's research centres on biomedical informatics and machine learning.

Artificial Intelligence Bioinformatics Cardiology Computational Biology Data Mining & Machine Learning Data Science Diabetes & Endocrinology Epidemiology Gastroenterology & Hepatology Health Policy Public Health Women's Health

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Past or current institution affiliations

University of Toronto
University of Milan - Bicocca
Princess Margaret Cancer Centre

Work details

Researcher (assistant professor)

University of Milan - Bicocca
May 2023
Computer Science

Scientific researcher

University of Toronto
January 2021
Institute of Health Policy Management and Evaluation

Websites

  • DavideChicco.it
  • Google Scholar
  • PubMed Search

PeerJ Contributions

  • Articles 8
  • Edited 33
  • Questions 1
August 29, 2025
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters
Davide Chicco, Giuseppe Sabino, Luca Oneto, Giuseppe Jurman
https://doi.org/10.7717/peerj-cs.3095
July 25, 2025
TaGra: an open Python package for easily generating graphs from data tables through manifold learning
Davide Torre, Davide Chicco
https://doi.org/10.7717/peerj-cs.2986
May 13, 2025
Hyperdimensional computing in biomedical sciences: a brief review
Fabio Cumbo, Davide Chicco
https://doi.org/10.7717/peerj-cs.2885
September 3, 2024
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing
Giulia Cisotto, Davide Chicco
https://doi.org/10.7717/peerj-cs.2256
September 3, 2024
Ten quick tips for electrocardiogram (ECG) signal processing
Davide Chicco, Angeliki-Ilektra Karaiskou, Maarten De Vos
https://doi.org/10.7717/peerj-cs.2295
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
July 5, 2021
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
https://doi.org/10.7717/peerj-cs.623
May 14, 2018
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes
https://doi.org/10.7717/peerj-cs.154

Academic Editor on

August 28, 2025
Enhanced information cross-attention fusion for drug–target binding affinity prediction
Ailu Fei, Yihan Wang, Tiantian Ruan, Yekang Zhang, Min Yao, Li Wang
https://doi.org/10.7717/peerj-cs.3117
August 15, 2025
Transformer-based tokenization for IoT traffic classification across diverse network environments
Firdaus Afifi, Faiz Zaki, Hazim Hanif, Nik Aqil, Nor Badrul Anuar
https://doi.org/10.7717/peerj-cs.3126
August 11, 2025
DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis
Shufeng Xiong, Yibo Si, Guipei Zhang, Bingkun Wang, Guang Zheng, Haiping Si
https://doi.org/10.7717/peerj-cs.3091
August 4, 2025
A review of methods and software for polygenic risk score analysis
Sara Benoumhani, Areej Al-Wabil, Niddal Imam, Bashayer Alfawaz, Amaan Zubairi, Dalal Aldossary, Mariam AlEissa
https://doi.org/10.7717/peerj-cs.3039
July 30, 2025
Music audio emotion regression using the fusion of convolutional neural networks and bidirectional long short-term memory models
Yi Qiu, Yu Lin, Yun Lin
https://doi.org/10.7717/peerj-cs.3086
July 17, 2025
A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach
Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi
https://doi.org/10.7717/peerj-cs.3014
July 16, 2025
Web application firewall based on machine learning models
Muhammed Ersin Durmuşkaya, Selim Bayraklı
https://doi.org/10.7717/peerj-cs.2975
July 10, 2025
Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm
Ling Li, Tao Yue, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu
https://doi.org/10.7717/peerj-cs.3000
July 3, 2025
Early breast cancer detection in CT scans using convolutional neural bidirectional feature pyramid network
Tahani Jaser Alahmadi, Adeel Ahmed, Amjad Rehman, Abeer Rashad Mirdad, Bayan Al Ghofaily, Shehryar Ali
https://doi.org/10.7717/peerj-cs.2994
July 1, 2025
Efficient sepsis detection using deep learning and residual convolutional networks
Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri
https://doi.org/10.7717/peerj-cs.2958
June 25, 2025
An interpretable multi-transformer ensemble for text-based movie genre classification
Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Nouf Nawar Alotaibi, Salma Mohsen M. Alnefaie
https://doi.org/10.7717/peerj-cs.2945
June 23, 2025
Systematic review: progress in EEG-based speech imagery brain-computer interface decoding and encoding research
Ke Su, Liang Tian
https://doi.org/10.7717/peerj-cs.2938
June 4, 2025
Siamese meta-learning network for social disputes based on multi-head attention
Jing Wang, Rui Zhang, Huijian Han, Yuxiang Liu, Zhaoxing Peng
https://doi.org/10.7717/peerj-cs.2910
May 19, 2025
Anticancer drug synergy prediction based on CatBoost
Changheng Li, Nana Guan, Hongyi Zhang
https://doi.org/10.7717/peerj-cs.2829
May 8, 2025
GFADE: generalized feature adaptation and discrimination enhancement for deepfake detection
ZhiYong Tian, Junkai Yi
https://doi.org/10.7717/peerj-cs.2879
February 21, 2025
Lightweight-CancerNet: a deep learning approach for brain tumor detection
Asif Raza, Muhammad Javed Iqbal
https://doi.org/10.7717/peerj-cs.2670
January 20, 2025
Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique
Rafael F. Pinheiro, Maria P. Guarino, Marlene Lages, Rui Fonseca-Pinto
https://doi.org/10.7717/peerj-cs.2516
August 29, 2024
Comprehensive analysis of clustering algorithms: exploring limitations and innovative solutions
Aasim Ayaz Wani
https://doi.org/10.7717/peerj-cs.2286
May 17, 2024
Predicting cervical cancer risk probabilities using advanced H20 AutoML and local interpretable model-agnostic explanation techniques
Sashikanta Prusty, Srikanta Patnaik, Sujit Kumar Dash, Sushree Gayatri Priyadarsini Prusty, Jyotirmayee Rautaray, Ghanashyam Sahoo
https://doi.org/10.7717/peerj-cs.1916
March 18, 2024
Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets
Mahmudul Hasan, Md Abdus Sahid, Md Palash Uddin, Md Abu Marjan, Seifedine Kadry, Jungeun Kim
https://doi.org/10.7717/peerj-cs.1917
January 25, 2024
SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation
Lizhuang Liu, Kun Wu, Ke Wang, Zhenqi Han, Jianxing Qiu, Qiao Zhan, Tian Wu, Jinghang Xu, Zheng Zeng
https://doi.org/10.7717/peerj-cs.1751
January 24, 2024
Arrhythmia classification for non-experts using infinite impulse response (IIR)-filter-based machine learning and deep learning models of the electrocardiogram
Mallikarjunamallu K, Khasim Syed
https://doi.org/10.7717/peerj-cs.1774
January 3, 2024
Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics
Sergei Koltcov, Anton Surkov, Vladimir Filippov, Vera Ignatenko
https://doi.org/10.7717/peerj-cs.1758
June 14, 2023
A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients
Tansel Dokeroglu
https://doi.org/10.7717/peerj-cs.1430
April 20, 2023
On parsimony and clustering
Frédérique Oggier, Anwitaman Datta
https://doi.org/10.7717/peerj-cs.1339
March 9, 2023
Real-time pneumonia prediction using pipelined spark and high-performance computing
Aswathy Ravikumar, Harini Sriraman
https://doi.org/10.7717/peerj-cs.1258
February 9, 2023
Isolation of multiple electrocardiogram artifacts using independent vector analysis
Zahoor Uddin, Muhammad Altaf, Ayaz Ahmad, Aamir Qamar, Farooq Alam Orakzai
https://doi.org/10.7717/peerj-cs.1189
June 21, 2022
An enhanced Genetic Folding algorithm for prostate and breast cancer detection
Mohammad A. Mezher, Almothana Altamimi, Ruhaifa Altamimi
https://doi.org/10.7717/peerj-cs.1015
January 25, 2022
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification
Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Bambang Tutuko, Ade Iriani Sapitri, Firdaus Firdaus, Ahmad Fansyuri, Aldi Predyansyah
https://doi.org/10.7717/peerj-cs.825
December 24, 2021
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study
Barbara Pes, Giuseppina Lai
https://doi.org/10.7717/peerj-cs.832
December 16, 2021
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak
Muhammad Naeem, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan
https://doi.org/10.7717/peerj-cs.746
September 20, 2021
KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN
Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Mohammed Alghaili, Asaad Shakir Hameed, Modhi Lafta Mutar
https://doi.org/10.7717/peerj-cs.694
August 3, 2021
Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset
Michael Adebisi Fayemiwo, Toluwase Ayobami Olowookere, Samson Afolabi Arekete, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike Oguntunde, Oluwabunmi Omobolanle Olaniyan, Theresa Omolayo Ojewumi, Idowu Sunday Oyetade, Ademola Adegoke Aremu, Aderonke Anthonia Kayode
https://doi.org/10.7717/peerj-cs.614

1 Question

0
Dataset dataset
about Prediction of morbidity and mortality in patients with type 2 diabetes