{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T11:03:05Z","timestamp":1791198185171,"version":"4.1.0"},"reference-count":34,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:p>Polycystic ovarian syndrome (PCOS) is a hormonal disorder found in women of reproductive age. There are different methods used for the detection of PCOS, but these methods limitedly support the integration of PCOS and mental health issues. To address these issues, in this paper we present an automated early detection and prediction model which can accurately estimate the likelihood of having PCOS and associated mental health issues. In real-life applications, we often see that people are prompted to answer in linguistic terminologies to express their well-being in response to questions asked by the clinician. To model the inherent linguistic nature of the mapping between symptoms and diagnosis of PCOS a fuzzy approach is used. Therefore, in the present study, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is evaluated for its performance. Using the local yet specific dataset collected on a spectrum of women, the Fuzzy TOPSIS is compared with the widely used support vector machines (SVM) algorithm. Both the methods are evaluated on the same dataset. An accuracy of 98.20% using the Fuzzy TOPSIS method and 94.01% using SVM was obtained. Along with the improvement in the performance and methodological contribution, the early detection and treatment of PCOS and mental health issues can together aid in taking preventive measures in advance. The psychological well-being of the women was also objectively evaluated and can be brought into the PCOS treatment protocol.<\/jats:p>","DOI":"10.3389\/fpubh.2021.789569","type":"journal-article","created":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T11:14:15Z","timestamp":1638357255000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":90,"title":["Prediction of PCOS and Mental Health Using Fuzzy Inference and SVM"],"prefix":"10.3389","volume":"9","author":[{"given":"Ashwini","family":"Kodipalli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susheela","family":"Devi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2021,11,30]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"341","DOI":"10.4103\/ijnmr.IJNMR_276_19","article-title":"Psychological experiences of adolescent girls with polycystic ovary syndrome: a qualitative study","volume":"25","author":"Ekramzadeh","year":"2020","journal-title":"Iran J Nurs Midwifery Res"},{"key":"B2","doi-asserted-by":"publisher","first-page":"11","DOI":"10.4236\/ym.2020.41002","article-title":"Polycystic ovarian syndrome and female infertility","volume":"4","author":"Naqvi","year":"2020","journal-title":"Yangtze Med"},{"key":"B3","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1056\/NEJM199509283331307","article-title":"Polycystic ovary syndrome","volume":"333","author":"Franks","year":"1995","journal-title":"N Engl J Med"},{"key":"B4","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1111\/j.1365-2265.1990.tb00857.x","article-title":"Differences in clinical and endocrine features between obese and non-obese subjects with polycystic ovary syndrome: an analysis of 263 consecutive cases","volume":"32","author":"Kiddy","year":"1990","journal-title":"Clin Endocrinol"},{"key":"B5","doi-asserted-by":"publisher","first-page":"73","DOI":"10.2217\/17455057.3.1.73","article-title":"Obesity management in women with polycystic ovary syndrome","volume":"3","author":"Lim","year":"2007","journal-title":"Women Health"},{"key":"B6","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.fertnstert.2003.10.004","article-title":"Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome","volume":"81","author":"Rotterdam","year":"2004","journal-title":"Fertil Steril."},{"key":"B7","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1093\/humrep\/det469","article-title":"The prevalence of polycystic ovary syndrome in a normal population according to the Rotterdam criteria versus revised criteria including anti-mullerian hormone","volume":"29","author":"Lauritsen","year":"2014","journal-title":"Hum Reprod"},{"key":"B8","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/j.jpag.2011.03.002","article-title":"Prevalence of polycystic ovarian syndrome in Indian adolescents","volume":"24","author":"Nidhi","year":"2011","journal-title":"J Pediatr Adolesc Gynecol"},{"key":"B9","doi-asserted-by":"publisher","first-page":"66","DOI":"10.4103\/0253-7176.150822","article-title":"Prevalence of psychiatric disorders in patients with a diagnosis of polycystic ovary syndrome in Kashmir","volume":"37","author":"Hussain","year":"2015","journal-title":"Indian J Psychol Med."},{"key":"B10","doi-asserted-by":"publisher","first-page":"681","DOI":"10.5455\/ijmsph.2016.30072015110","article-title":"Prevalence of anxiety and depression in polycystic ovarian syndrome","volume":"5","author":"Upadhyaya","year":"2016","journal-title":"Int J Med Sci Public Health"},{"key":"B11","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.fertnstert.2011.09.024","article-title":"Consensus on women's health aspects of polycystic ovary syndrome (PCOS): the Amsterdam ESHRE\/ASRM-Sponsored 3rd PCOS Consensus Workshop Group","volume":"97","author":"Fauser","year":"2012","journal-title":"Fertil Steril"},{"key":"B12","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1097\/01.ogx.0000243772.33357.84","article-title":"Polycystic ovary syndrome and mental health: a review","volume":"61","author":"Himelein","year":"2006","journal-title":"Obstet Gynecol Surv"},{"key":"B13","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1007\/s40279-014-0291-6","article-title":"Mental health and physical activity in women with polycystic ovary syndrome: a brief review","volume":"45","author":"Conte","year":"2015","journal-title":"Sports Med."},{"key":"B14","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.fertnstert.2007.11.022","article-title":"Risk of depression and other mental health disorders in women with polycystic ovary syndrome: a longitudinal study","volume":"91","author":"Kerchner","year":"2009","journal-title":"Fertil Steril"},{"key":"B15","doi-asserted-by":"publisher","first-page":"1737","DOI":"10.1001\/jama.282.18.1737","article-title":"Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study","volume":"282","author":"Spitzer","year":"1999","journal-title":"JAMA"},{"key":"B16","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1001\/archpsyc.1961.01710120031004","article-title":"An inventory for measuring depression","volume":"6","author":"Beck","year":"1961","journal-title":"Arch Gen Psychiatry"},{"key":"B17","volume-title":"ACP PIER: The Physicians' Information and Education Resource Evidence Ratings and Criteria","year":"2007"},{"key":"B18","doi-asserted-by":"publisher","first-page":"2589","DOI":"10.3390\/ijerph15112589","article-title":"Geographical prevalence of polycystic ovary syndrome as determined by region and race\/ethnicity","volume":"15","author":"Wolf","year":"2018","journal-title":"Int J Environ Res Public Health"},{"key":"B19","doi-asserted-by":"publisher","first-page":"533","DOI":"10.18502\/ijrm.v17i8.4818","article-title":"The prevalence of polycystic ovary syndrome in adolescents: a systematic review and meta-analysis","volume":"17","author":"Naz","year":"2019","journal-title":"Int J Reprod Biomed"},{"key":"B20","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1186\/1472-6874-14-51","article-title":"Physical activity and mental health in women with polycystic ovary syndrome","volume":"14","author":"Banting","year":"2014","journal-title":"BMC Women's Health"},{"key":"B21","doi-asserted-by":"publisher","first-page":"2116","DOI":"10.1210\/jc.2017-02667","article-title":"Polycystic ovary syndrome is associated with adverse mental health and neurodevelopmental outcomes","volume":"103","author":"Berni","year":"2018","journal-title":"J Clin Endocrinol Metab"},{"key":"B22","doi-asserted-by":"publisher","first-page":"239","DOI":"10.4103\/IJPSYM.IJPSYM_561_17","article-title":"Anxiety, depression, and quality of life in women with polycystic ovarian syndrome","volume":"40","author":"Chaudhari","year":"2018","journal-title":"Indian J Psychol Med"},{"key":"B23","doi-asserted-by":"publisher","first-page":"326","DOI":"10.4103\/ijem.IJEM_30_19","article-title":"Comparison of the different PCOS phenotypes based on clinical metabolic, and hormonal profile, and their response to clomiphene","volume":"23","author":"Sachdeva","year":"2020","journal-title":"Indian J Endocrinol Metab"},{"key":"B24","doi-asserted-by":"crossref","DOI":"10.1109\/TENCON.2019.8929674","article-title":"i-HOPE: detection and prediction system for Polycystic Ovary Syndrome (PCOS) using machine learning techniques","volume-title":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","author":"Denny","year":"2019"},{"key":"B25","first-page":"1","article-title":"A critical study of Polycystic Ovarian Syndrome (PCOS) classification techniques","volume":"4","author":"Vikas","year":"2018","journal-title":"Int J Comput Eng Manag."},{"key":"B26","doi-asserted-by":"publisher","first-page":"1359","DOI":"10.35940\/ijeat.C5457.029320","article-title":"Genetic clustering for polycystic ovary syndrome detection in women of reproductive age","volume":"3","author":"Anuradha","year":"2020","journal-title":"Int J Eng Adv Technol"},{"key":"B27","doi-asserted-by":"crossref","DOI":"10.1109\/ICACCCT.2014.7019318","article-title":"Automated detection of polycystic ovarian syndrome using follicle recognition","volume-title":"IEEE International Conference on Advanced Communications, Control and Computing Technologies","author":"Deshpande","year":"2014"},{"key":"B28","first-page":"16321","article-title":"Study of fuzzy logic in medical data analytics","volume":"119","author":"Mishra","year":"2018","journal-title":"Int J Pure Appl Math"},{"key":"B29","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1186\/s12911-020-01209-8","article-title":"A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development","volume":"20","author":"Ansari","year":"2020","journal-title":"BMC Med Inform Decis Mak"},{"key":"B30","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/0165-0114(85)90090-9","article-title":"Fuzzy hierarchical analysis","volume":"17","author":"Buckley","year":"1985","journal-title":"Fuzzy Sets Syst."},{"key":"B31","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/0165-0114(95)00165-4","article-title":"Fuzzy multiple criteria decision making: Recent developments","volume":"78","author":"Carlsson","year":"1996","journal-title":"Fuzzy Sets Syst"},{"key":"B32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0165-0114(97)00377-1","article-title":"Extension of the TOPSIS for group decision-making under fuzzy environment","volume":"114","author":"Chen","year":"2000","journal-title":"Fuzzy Sets Syst."},{"key":"B33","first-page":"702","article-title":"A novel framework for filtering the PCOS attributes using data mining techniques","volume":"4","author":"Meena","year":"2015","journal-title":"Int J Eng Res Technol"},{"key":"B34","first-page":"65","article-title":"Polycystic Ovarian Syndrome (PCOS) classification and featur selection by machine learning techniques","volume":"9","author":"Satish","year":"2020","journal-title":"Appl Math Comput Intelligence"}],"container-title":["Frontiers in Public Health"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2021.789569\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T11:14:23Z","timestamp":1638357263000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpubh.2021.789569\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,30]]},"references-count":34,"alternative-id":["10.3389\/fpubh.2021.789569"],"URL":"https:\/\/doi.org\/10.3389\/fpubh.2021.789569","relation":{},"ISSN":["2296-2565"],"issn-type":[{"value":"2296-2565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,30]]},"article-number":"789569"}}