An evaluation method for determining preeclampsia risk levels during pregnancy

An evaluation method for determining preeclampsia risk levels during pregnancy | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article An evaluation method for determining preeclampsia risk levels during pregnancy Rıdvan Şahin, Meltem Şahin This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2412229/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Preeclampsia (PE), which is one of the most common complications in pregnancy and affects approximately 2% to 8% of all pregnancies, is a hypertensive disorder of gestation diagnosed with hypertension and proteinuria that usually occurs in the second trimester of pregnancy. PE is characterized by new onset of hypertension (≥140/90 mmHg) and proteinuria that develops after 20 weeks of gestation and usually resolves within 48h of fetal delivery. It can cause pain for mother and fetus as well as increase their risk of death. According to Royal College of Obstetricians and Gynaecologists, PE can be identified under three criteria: systolic blood pressure diastolic blood pressure and proteinuria. The main objective of this research is to develop an evaluation method to identify the risk degree of preeclampsia in pregnancy. When considering clinical measures as an interval rather than a single value, it is important not only to evaluate this interval but also to test the reliability of the evaluation. In order to express the uncertainty and reliability of interval data, we propose a neutrosophic interval set (NIS) model in this paper. A NIS presents the evaluation interval with regard to objects and its reliability simultaneously. In addition, in order to determine the PE risk degree, a new risk evaluation method is developed which is based on the similarity measure of NISs and considered decision maker's risk attitude. Finally, the practicability of developed method in this work are illustrated by an example of determining the PE risk degrees of 12 pregnant. The comparative analysis demonstrates that proposed evaluation approach is superior performance to that of the existing PE risk evaluation method. Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2412229","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":164041963,"identity":"15d00652-6fd0-4a20-a72d-303bd481a202","order_by":0,"name":"Rıdvan Şahin","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA00lEQVRIiWNgGAWjYNACA2YgwXwASEjIEKGcGaaFLQGkhYdILWCCxwDEIqxFt/38AeaKAms5c/aez69u1FjwMLAfProBnxazM8kMjGcM0o0te85us845BnQYT1raDbxaDgC1NBgcTtxwI3ebcQ4bUIsEjxl+LecfQ7Xcf/PMOOcfMVpuwG3hYX6c20aUlscGBxuAfjE4k2bGnNsnwcNG0C/nEx8+bPhjLWdw/PDjzznf6uT42Q8fw6sFBA5AaTYJMElIOTJg/kCK6lEwCkbBKBg5AADDnUYmC/z89wAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0001-7434-4269","institution":"Gümüşhane Üniversitesi: Gumushane Universitesi","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Rıdvan","middleName":"","lastName":"Şahin","suffix":""},{"id":164041964,"identity":"a1b7ca0f-be0c-4254-b6fa-546f766fc81e","order_by":1,"name":"Meltem Şahin","email":"","orcid":"","institution":"Gumushane University Faculty of Health Sciences: Gumushane Universitesi Saglik Bilimleri Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Meltem","middleName":"","lastName":"Şahin","suffix":""}],"badges":[],"createdAt":"2022-12-24 18:47:30","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2412229/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2412229/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":31093772,"identity":"9d204a5f-4f0e-49b5-a816-61a94a1a21d9","added_by":"auto","created_at":"2023-01-04 15:05:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":374622,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript24.12.2022.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2412229/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"An evaluation method for determining preeclampsia risk levels during pregnancy","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-2412229/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2412229/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePreeclampsia (PE), which is one of the most common complications in pregnancy and affects approximately 2% to 8% of all pregnancies, is a hypertensive disorder of gestation diagnosed with hypertension and proteinuria that usually occurs in the second trimester of pregnancy. PE is characterized by new onset of hypertension (≥140/90 mmHg) and proteinuria that develops after 20 weeks of gestation and usually resolves within 48h of fetal delivery. It can cause pain for mother and fetus as well as increase their risk of death. According to Royal College of Obstetricians and Gynaecologists, PE can be identified under three criteria: systolic blood pressure diastolic blood pressure and proteinuria. The main objective of this research is to develop an evaluation method to identify the risk degree of preeclampsia in pregnancy. When considering clinical measures as an interval rather than a single value, it is important not only to evaluate this interval but also to test the reliability of the evaluation. In order to express the uncertainty and reliability of interval data, we propose a neutrosophic interval set (NIS) model in this paper. A NIS presents the evaluation interval with regard to objects and its reliability simultaneously. 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