Related references
Note: Only part of the references are listed.A survey of graph neural networks in various learning paradigms: methods, applications, and challenges
Lilapati Waikhom et al.
ARTIFICIAL INTELLIGENCE REVIEW (2023)
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities
Haohui Lu et al.
APPLIED INTELLIGENCE (2022)
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus
Haohui Lu et al.
APPLIED INTELLIGENCE (2022)
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
Shahadat Uddin et al.
SCIENTIFIC REPORTS (2022)
Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning
Ping Yang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes
Ekramul Hossain et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Disease Prediction via Graph Neural Networks
Zhenchao Sun et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)
A weighted patient network-based framework for predicting chronic diseases using graph neural networks
Haohui Lu et al.
SCIENTIFIC REPORTS (2021)
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review
Md Ekramul Hossain et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis
Anca Loredana Udristoiu et al.
LIFE-BASEL (2021)
Transgender data collection in the electronic health record: Current concepts and issues
Clair A. Kronk et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2021)
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal et al.
SENSORS (2021)
Graph Neural Networks and Their Current Applications in Bioinformatics
Xiao-Meng Zhang et al.
FRONTIERS IN GENETICS (2021)
A Meta-Path-Based Prediction Method for Disease Comorbidities
Eduardo P. Garcia del Valle et al.
2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (2021)
Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods
Corina Maria Vasile et al.
MEDICINA-LITHUANIA (2021)
Graph embedding on biomedical networks: methods, applications and evaluations
Xiang Yue et al.
BIOINFORMATICS (2020)
Directed disease networks to facilitate multiple-disease risk assessment modeling
Tingyan Wang et al.
DECISION SUPPORT SYSTEMS (2020)
A Cancer Survival Prediction Method Based on Graph Convolutional Network
Chunyu Wang et al.
IEEE TRANSACTIONS ON NANOBIOSCIENCE (2020)
Graph Neural Network-Based Diagnosis Prediction
Yang Li et al.
BIG DATA (2020)
Predicting post-discharge self-harm incidents using disease comorbidity networks: A retrospective machine learning study
Zhongzhi Xu et al.
JOURNAL OF AFFECTIVE DISORDERS (2020)
MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients
Jianliang Gao et al.
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (2020)
Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
Heeyoung Kwak et al.
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2020, PT II (2020)
Graph-based Deep Learning in Natural Language Processing
Shikhar Vashishth et al.
PROCEEDINGS OF THE 7TH ACM IKDD CODS AND 25TH COMAD (CODS-COMAD 2020) (2020)
Constructing knowledge graphs and their biomedical applications
David N. Nicholson et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)
Graph convolutional networks for computational drug development and discovery
Mengying Sun et al.
BRIEFINGS IN BIOINFORMATICS (2020)
Comparing different supervised machine learning algorithms for disease prediction
Shahadat Uddin et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)
Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes
Arif Khan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Big data in healthcare: management, analysis and future prospects
Sabyasachi Dash et al.
JOURNAL OF BIG DATA (2019)
Privacy preservation techniques in big data analytics: a survey
P. Ram Mohan Rao et al.
JOURNAL OF BIG DATA (2018)
Geometric Deep Learning Going beyond Euclidean data
Michael M. Bronstein et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
Electronic Structure of Corrole Derivatives: Insights from Molecular Structures, Spectroscopy, Electrochemistry, and Quantum Chemical Calculations
Abhik Ghosh
CHEMICAL REVIEWS (2017)
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
Yuxiao Dong et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
MIMIC-III, a freely accessible critical care database
Alistair E. W. Johnson et al.
SCIENTIFIC DATA (2016)
The Graph Neural Network Model
Franco Scarselli et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)
The link-prediction problem for social networks
David Liben-Nowell et al.
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2007)
Using the principle of entropy maximization to infer genetic interaction networks from gene expression patterns
Timothy R. Lezon et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)
Share Paper
