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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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| منشور في: |
2025
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| 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 |