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<Articles><Article><Journal><PublisherName></PublisherName><JournalTitle>International Journal of Preventive Medicine (Int J Prev Med)</JournalTitle><Issn>2008-7802</Issn><Volume>15</Volume><Issue>2</Issue><PubDate PubStatus="epublish"><Year>2024</Year><Month>05</Month><Day>27</Day></PubDate></Journal><title locale="en_US">Developing an intelligent prediction system for successful aging based on artificial neural networks</title><FirstPage>32</FirstPage><LastPage>40</LastPage><Language>EN</Language><AuthorList><Author><affiliation locale="en_US">Department of Health Information Management, Iran University of Medical Sciences, Tehran</affiliation></Author><Author><affiliation locale="en_US">1Department of Health Information Technology, Abadan University of Medical Sciences, Abadan</affiliation></Author></AuthorList><History><PubDate PubStatus="received"><Year>2024</Year><Month>05</Month><Day>27</Day></PubDate></History><abstract locale="en_US">&lt;p&gt;Background: Due to the growing number of disabilities in elderly, Attention to this period of life is essential to be considered. Few studies focused on the physical, mental, disabilities, and disorders affecting the quality of life in elderly people. SA1 is related to various factors influencing the elderly’s life. So, the objective of the current study is to build an intelligent system for SA prediction through ANN2 algorithms to investigate better all factors affecting the elderly life and promote them. Methods: This study was performed on 1156 SA and non‑SA cases. We applied statistical feature reduction method to obtain the best factors predicting the SA. Two models of ANNs with 5, 10, 15, and 20 neurons in hidden layers were used for model construction. Finally, the best ANN configuration was obtained for predicting the SA using sensitivity, specificity, accuracy, and cross‑entropy loss function. Results: The study showed that 25 factors correlated with SA at the statistical level of P &amp;lt; 0.05. Assessing all ANN structures resulted in FF‑BP3 algorithm having the configuration of 25‑15‑1 with accuracy‑train of 0.92, accuracy‑test of 0.86, and accuracy‑validation of 0.87 gaining the best performance over other ANN algorithms. Conclusions: Developing the CDSS for predicting SA has crucial role to effectively inform geriatrics and health care policymakers decision making.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;span class="ej-journal-name" style="box-sizing: inherit; font-style: italic; font-weight: 500; color: #3b3030; font-family: 'Fira Sans', sans-serif; font-size: 14px; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"&gt;International Journal of Preventive Medicine&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span id="ej-journal-date-volume-issue-pg" style="box-sizing: inherit; color: #3b3030; font-family: 'Fira Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"&gt;&lt;a style="box-sizing: border-box; color: #005b92; text-decoration: none; background-color: transparent; cursor: pointer; outline: 0px;" href="https://journals.lww.com/ijom/toc/2024/02290"&gt;15():10, February 2024.&lt;/a&gt;&lt;/span&gt;&lt;span style="box-sizing: inherit; color: #3b3030; font-family: 'Fira Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"&gt;&lt;span&gt; &lt;/span&gt;|&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span class="ej-journal-doi" style="box-sizing: inherit; font-style: italic; font-weight: 500; color: #3b3030; font-family: 'Fira Sans', sans-serif; font-size: 14px; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"&gt;DOI:&lt;span&gt; &lt;/span&gt;&lt;/span&gt;&lt;span style="color: #3b3030; font-family: 'Fira Sans', sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;"&gt;10.4103/ijpvm.ijpvm_47_23&lt;/span&gt;&lt;/p&gt;&lt;p&gt;Corresponding Author: Dr. Hadi Kazemi‑Arpanahi&lt;/p&gt;&lt;p&gt;E‑mail:h.kazemi@abadanums.ac.ir&lt;/p&gt;&lt;p&gt;You can also search for this author in: &lt;a title="PubMed" href="https://pubmed.ncbi.nlm.nih.gov/?term=%28Hadi+Kazemi%E2%80%91Arpanahi%5BAuthor%5D%29+AND+%28abadan+university+of+medical+sciences%5BAffiliation%5D%29"&gt;PubMed&lt;/a&gt; &lt;a title="Google Scholar" href="https://scholar.google.com/citations?user=ym_cy0QAAAAJ&amp;amp;hl=en"&gt;Google Scholar&lt;/a&gt;&lt;/p&gt;</abstract><web_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/view/2900</web_url><pdf_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/download/2900/717718741</pdf_url></Article></Articles>
