An iterative plot of the Cubic chaotic map.

<div><p>Within the healthcare sector, the application of machine learning is gaining prominence, notably enhancing the efficiency and precision of diagnostic procedures. This study focuses on this key area of diabetes prediction and aims to develop an innovative prediction method. Using...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Wan-Hua Zhang (21601139) (author)
مؤلفون آخرون: Zi-Xun Zhang (17149963) (author)
منشور في: 2025
الموضوعات:
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_version_ 1852019048924053504
author Wan-Hua Zhang (21601139)
author2 Zi-Xun Zhang (17149963)
author2_role author
author_facet Wan-Hua Zhang (21601139)
Zi-Xun Zhang (17149963)
author_role author
dc.creator.none.fl_str_mv Wan-Hua Zhang (21601139)
Zi-Xun Zhang (17149963)
dc.date.none.fl_str_mv 2025-06-25T17:30:38Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0324759.g004
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/An_iterative_plot_of_the_Cubic_chaotic_map_/29404601
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biotechnology
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> within
experimental results showed
data set published
6 %, showing
innovative prediction method
assist medical professionals
bp hybrid algorithm
bp algorithm performed
bp neural network
machine learning algorithms
machine learning
algorithm performance
neural networks
network performance
medical field
bp classifier
multilayer algorithms
evaluated algorithms
diabetes prediction
traditional backpropagation
threshold initialization
superior performance
paper constructs
notably enhancing
key area
healthcare sector
health status
gaining prominence
early intervention
diagnostic procedures
best among
dc.title.none.fl_str_mv An iterative plot of the Cubic chaotic map.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <div><p>Within the healthcare sector, the application of machine learning is gaining prominence, notably enhancing the efficiency and precision of diagnostic procedures. This study focuses on this key area of diabetes prediction and aims to develop an innovative prediction method. Using the data set published by Kare, this paper constructs and compares various intelligent systems based on multilayer algorithms, and specifically introduces improved reptile search algorithm (IRSA) to optimize the weight and threshold initialization of traditional backpropagation (BP) neural networks. This improvement aims to improve the network performance and accuracy in diabetes detection. In the study, the IRSA-BP hybrid algorithm and many other machine learning algorithms were used for diabetes prediction, and the algorithm performance was comprehensively evaluated using multiple classification metrics. The experimental results showed that the IRSA-BP algorithm performed the best among all the evaluated algorithms, with an accuracy of up to 83.6%, showing its superior performance in diabetes prediction. Therefore, the IRSA-BP classifier has an important potential for application in the medical field. It can assist medical professionals to identify diabetes risk earlier and assess the condition more accurately, thus improving diagnostic efficiency and accuracy. This is important for early intervention and treatment of patients with diabetes and to improve their health status and quality of life.</p></div>
eu_rights_str_mv openAccess
id Manara_2e2bb18896f3c2cf9dcb3d89ae698241
identifier_str_mv 10.1371/journal.pone.0324759.g004
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/29404601
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling An iterative plot of the Cubic chaotic map.Wan-Hua Zhang (21601139)Zi-Xun Zhang (17149963)BiotechnologyScience PolicySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedxlink "> withinexperimental results showeddata set published6 %, showinginnovative prediction methodassist medical professionalsbp hybrid algorithmbp algorithm performedbp neural networkmachine learning algorithmsmachine learningalgorithm performanceneural networksnetwork performancemedical fieldbp classifiermultilayer algorithmsevaluated algorithmsdiabetes predictiontraditional backpropagationthreshold initializationsuperior performancepaper constructsnotably enhancingkey areahealthcare sectorhealth statusgaining prominenceearly interventiondiagnostic proceduresbest among<div><p>Within the healthcare sector, the application of machine learning is gaining prominence, notably enhancing the efficiency and precision of diagnostic procedures. This study focuses on this key area of diabetes prediction and aims to develop an innovative prediction method. Using the data set published by Kare, this paper constructs and compares various intelligent systems based on multilayer algorithms, and specifically introduces improved reptile search algorithm (IRSA) to optimize the weight and threshold initialization of traditional backpropagation (BP) neural networks. This improvement aims to improve the network performance and accuracy in diabetes detection. In the study, the IRSA-BP hybrid algorithm and many other machine learning algorithms were used for diabetes prediction, and the algorithm performance was comprehensively evaluated using multiple classification metrics. The experimental results showed that the IRSA-BP algorithm performed the best among all the evaluated algorithms, with an accuracy of up to 83.6%, showing its superior performance in diabetes prediction. Therefore, the IRSA-BP classifier has an important potential for application in the medical field. It can assist medical professionals to identify diabetes risk earlier and assess the condition more accurately, thus improving diagnostic efficiency and accuracy. This is important for early intervention and treatment of patients with diabetes and to improve their health status and quality of life.</p></div>2025-06-25T17:30:38ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0324759.g004https://figshare.com/articles/figure/An_iterative_plot_of_the_Cubic_chaotic_map_/29404601CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294046012025-06-25T17:30:38Z
spellingShingle An iterative plot of the Cubic chaotic map.
Wan-Hua Zhang (21601139)
Biotechnology
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> within
experimental results showed
data set published
6 %, showing
innovative prediction method
assist medical professionals
bp hybrid algorithm
bp algorithm performed
bp neural network
machine learning algorithms
machine learning
algorithm performance
neural networks
network performance
medical field
bp classifier
multilayer algorithms
evaluated algorithms
diabetes prediction
traditional backpropagation
threshold initialization
superior performance
paper constructs
notably enhancing
key area
healthcare sector
health status
gaining prominence
early intervention
diagnostic procedures
best among
status_str publishedVersion
title An iterative plot of the Cubic chaotic map.
title_full An iterative plot of the Cubic chaotic map.
title_fullStr An iterative plot of the Cubic chaotic map.
title_full_unstemmed An iterative plot of the Cubic chaotic map.
title_short An iterative plot of the Cubic chaotic map.
title_sort An iterative plot of the Cubic chaotic map.
topic Biotechnology
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> within
experimental results showed
data set published
6 %, showing
innovative prediction method
assist medical professionals
bp hybrid algorithm
bp algorithm performed
bp neural network
machine learning algorithms
machine learning
algorithm performance
neural networks
network performance
medical field
bp classifier
multilayer algorithms
evaluated algorithms
diabetes prediction
traditional backpropagation
threshold initialization
superior performance
paper constructs
notably enhancing
key area
healthcare sector
health status
gaining prominence
early intervention
diagnostic procedures
best among