Cargando…

Foodborne Disease Risk Prediction Using Multigraph Structural Long Short-term Memory Networks: Algorithm Design and Validation Study

BACKGROUND: Foodborne disease is a common threat to human health worldwide, leading to millions of deaths every year. Thus, the accurate prediction foodborne disease risk is very urgent and of great importance for public health management. OBJECTIVE: We aimed to design a spatial–temporal risk predic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Du, Yi, Wang, Hanxue, Cui, Wenjuan, Zhu, Hengshu, Guo, Yunchang, Dharejo, Fayaz Ali, Zhou, Yuanchun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369373/ https://www.ncbi.nlm.nih.gov/pubmed/34338648 http://dx.doi.org/10.2196/29433

Ejemplares similares

Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study
por: Wang, Hanxue, et al.
Publicado: (2021)

High-Efficiency Machine Learning Method for Identifying Foodborne Disease Outbreaks and Confounding Factors
por: Zhang, Peng, et al.
Publicado: (2021)

Goodness of fit tests for random multigraph models
por: Shafie, Termeh
Publicado: (2022)

A Multigraph-Based Representation of Hi-C Data
por: Makai, Diána, et al.
Publicado: (2022)

A unified spatial multigraph analysis for public transport performance
por: Wang, Yaoli, et al.
Publicado: (2020)

Learning Multigraph Node Embeddings Using Guided Lévy Flights
por: Roy, Aman, et al.
Publicado: (2020)

Classifying Multigraph Models of Secondary RNA Structure Using Graph-Theoretic Descriptors
por: Knisley, Debra, et al.
Publicado: (2012)

Functional network estimation using multigraph learning with application to brain maturation study
por: Wang, Junqi, et al.
Publicado: (2021)

Disease gene identification by random walk on multigraphs merging heterogeneous genomic and phenotype data
por: Li, Yongjin, et al.
Publicado: (2012)

JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs
por: Espín-Noboa, Lisette, et al.
Publicado: (2017)

A Multigraph-Defined Distribution Function in a Simulation Model of a Communication Network
por: Miletic, Slobodan, et al.
Publicado: (2022)

MGCAF: A Novel Multigraph Cross-Attention Fusion Method for Traffic Speed Prediction
por: Ma, Tian, et al.
Publicado: (2022)

A symbiosis between cellular automata and dynamic weighted multigraph with application on virus spread modeling
por: Moghari, Somaye, et al.
Publicado: (2022)

Multimode Gesture Recognition Algorithm Based on Convolutional Long Short-Term Memory Network
por: Lu, Ming-Xing, et al.
Publicado: (2022)

Epidemiological Analysis of Foodborne Botulism Outbreaks — China, 2004–2020
por: Li, Hongqiu, et al.
Publicado: (2022)

Epidemiology of foodborne bongkrekic acid poisoning outbreaks in China, 2010 to 2020
por: Zhang, Hexiang, et al.
Publicado: (2023)

Auditory Short-Term Memory Behaves Like Visual Short-Term Memory
por: Visscher, Kristina M, et al.
Publicado: (2007)

Rising trends of foodborne illnesses in the U.S.: short communication
por: Nazir, Abubakar, et al.
Publicado: (2023)

Short-Term Memory and Long-Term Memory are Still Different
por: Norris, Dennis
Publicado: (2017)

Epidemiological Features of Foodborne Disease Outbreaks in Catering Service Facilities — China, 2010–2020
por: Lu, Donglei, et al.
Publicado: (2023)

Epidemiological Evaluation of Bacillus cereus-Induced Foodborne Outbreaks — China, 2010–2020
por: Duan, Shenggang, et al.
Publicado: (2023)

Spatial Structure-Related Sensory Landmarks Recognition Based on Long Short-Term Memory Algorithm
por: Wang, Yikang, et al.
Publicado: (2021)

Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction
por: Liu, Feiyang, et al.
Publicado: (2022)

Research on air quality prediction based on improved long short-term memory network algorithm
por: Huang, Wenchao, et al.
Publicado: (2022)

Foodborne Diseases: Prevalence of Foodborne Diseases in Europe
por: O'Brien, S.J.
Publicado: (2014)

Characteristics of Settings and Etiologic Agents of Foodborne Disease Outbreaks — China, 2020
por: Li, Hongqiu, et al.
Publicado: (2021)

Selective Prediction With Long Short-term Memory Using Unit-Wise Batch Standardization for Time Series Health Data Sets: Algorithm Development and Validation
por: Nam, Borum, et al.
Publicado: (2022)

Simulating the Linkages Between Economy and Armed Conflict in India With a Long Short‐Term Memory Algorithm
por: Hao, Mengmeng, et al.
Publicado: (2020)

A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf Countries
por: Aldhyani, Theyazn H. H., et al.
Publicado: (2021)

Speech Perception Improvement Algorithm Based on a Dual-Path Long Short-Term Memory Network
por: Koh, Hyeong Il, et al.
Publicado: (2023)

Foodborne Diseases: Overview of Biological Hazards and Foodborne Diseases
por: Todd, E.C.D.
Publicado: (2014)

Can short-term memory be trained?
por: Norris, Dennis G., et al.
Publicado: (2019)

About the Distinction between Working Memory and Short-Term Memory
por: Aben, Bart, et al.
Publicado: (2012)

Short-term memory as a working memory control process
por: Davelaar, Eddy J.
Publicado: (2013)

Foodborne Diseases
por: Ortega, Ynes R.
Publicado: (2008)

Foodborne pathogens
por: Bintsis, Thomas
Publicado: (2017)

Foodborne viruses
por: Bosch, Albert, et al.
Publicado: (2016)

Electrochemical Biosensors for Detection of Foodborne Pathogens
por: Zhang, Zhenguo, et al.
Publicado: (2019)

Foodborne Disease and the Need for Greater Foodborne Disease Surveillance in the Caribbean
por: Lee, Brendan
Publicado: (2017)

Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short-Term Memory (LSTM)
por: Feng, Lei, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_lgb2rv7hhqlhepsd7e7u4buft6