A prediction model for poly-cystic ovary syndrome problem using computational intelligence
*Dhiraj PandeyCorresponding authordhip2@yahoo.co.inDepartment of Information TechnologyJSS Academy of Technical Education, NoidaNoida, Uttar Pradesh, 201301, IndiaView full profile → , Kavita PandeyKavita.pandey@jiit.ac.inDepartment of Computer Science Engineering & ITJaypee Institute of Information Technology NoidaNoida, Uttar Pradesh, 201301, IndiaView full profile → , Budesh Kanwerbudesh82@gmail.comDepartment of Computer Science EngineeringPoornima Institute of Engineering and TechnologyJaipur, Rajasthan, 302022, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 11 Aug 2023
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1414
- Pages:
- 553–563
Abstract
Keywords
Subject Classifications
References
[1] E. M. Rodriguez, D. Thomas, A. Druet, M. Vlajic-Wheeler, K. J. Lane, and S. Mahalingaiah, “Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health App: Virtual Tool Functionality Assessment,” JMIR Form. Res., vol. 4, no. 5, p. e15094 (2020).
[2] K. Meena, M. Manimekalai, and S. Rethinavalli, “Correlation of Artificial Neural Network Classification and NFRS attribute Filtering algorithm for PCOS data,” Int. J. Res. Eng. Technol, vol. 4, no. 3, pp. 519–524 (2015).
[3] F. Tabassum, C. Jyoti, H. H. Sinha, K. Dhar, and M. S. Akhtar, “Impact of polycystic ovary syndrome on quality of life of women in correlation to age, basal metabolic index, education and marriage,” PLoS One, vol. 16, no. 3, p. e0247486 (2021).
[4] A. K. Srivastava, D. Pandey, and A. Agarwal, “Extractive multi-document text summarization using dolphin swarm optimization approach,” Multimed. Tools Appl., vol. 80, no. 7 (2021), doi: 10.1007/s11042-020-10176-1.
[5] N. K. Rathore, D. Pandey, R. I. Doewes, and A. Bhatt, “A Novel Security Technique Based on Controlled Pixel Based Encryption of Image Blocks for Sharing a Secret Image,” Wirel. Pers. Commun., vol. 121, no. 1 (2021) doi: 10.1007/s11277-021-08630-w.
[6] A. E. Joham, H. J. Teede, S. Ranasinha, S. Zoungas, and J. Boyle, “Prevalence of infertility and use of fertility treatment in women with polycystic ovary syndrome: data from a large community-based cohort study,” J. women’s Heal., vol. 24, no. 4, pp. 299-307 (2015).
[7] N. A. Dhayat et al., “Urinary steroid profiling in women hints at a diagnostic signature of the polycystic ovary syndrome: A pilot study considering neglected steroid metabolites,” PLoS One, vol. 13, no. 10, p. e0203903 (2018).
[8] A. Bachelot, “Polycystic ovarian syndrome: clinical and biological diagnosis,” Médecine la Reprod., vol. 19, no. 3, pp. 214-220 (2017).
[9] H. F. Escobar-Morreale, “Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment,” Nat. Rev. Endocrinol., vol. 14, no. 5, pp. 270-284 (2018).
[10] M. J. Lawrence, M. G. Eramian, R. A. Pierson, and E. Neufeld, “Computer assisted detection of polycystic ovary morphology in ultrasound images,” in Fourth Canadian Conference on Computer and Robot Vision (CRV’07), pp. 105-112, (2007).
[11] D. A. Dumesic, S. E. Oberfield, E. Stener-Victorin, J. C. Marshall, J. S. Laven, and R. S. Legro, “Scientific statement on the diagnostic criteria, epidemiology, pathophysiology, and molecular genetics of polycystic ovary syndrome,” Endocr. Rev., vol. 36, no. 5, pp. 487-525 (2015).
[12] M. Brower, K. Brennan, M. Pall, and R. Azziz, “The severity of menstrual dysfunction as a predictor of insulin resistance in PCOS,” J. Clin. Endocrinol. \& Metab., vol. 98, no. 12, pp. E1967-E1971 (2013).
[13] S. Franks, “Polycystic ovary syndrome,” N. Engl. J. Med., vol. 333, no. 13, pp. 853-861 (1995).
[14] R. J. Norman, D. Dewailly, R. S. Legro, and T. E. Hickey, “Polycystic ovary syndrome,” Lancet, vol. 370, no. 9588, pp. 685-697 (2007).
[15] A. Denny, A. Raj, A. Ashok, C. M. Ram, and R. George, “i-hope: Detection and prediction system for polycystic ovary syndrome (pcos) using machine learning techniques,” in TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 673-678 (2019).
[16] S. Bharati, P. Podder, and M. R. H. Mondal, “Diagnosis of polycystic ovary syndrome using machine learning algorithms,” in 2020 IEEE Region 10 Symposium (TENSYMP), pp. 1486-1489 (2020).
[17] S. Farzana, Gayathri Harikumar, S. Shankaranarayanan & N. Vikram, “Study on the impact of service quality on the customer satisfaction due to e-banking services of public sectors banks in Chennai,” Journal of Statistics and Management Systems, vol.25,no.5, pp.1205-1213 (2022).
[18] Ben Ebo Attom & Afzalur Rahman, “Empirical study of the relationship between working capital policies and firm financial performance (Profitability and market value)-Evidence from the manufacturing firms listed on the Ghana stock exchange (GSE),” Journal of Statistics and Management Systems, vol. 25, no.4, pp.983-1000 (2022).
[19] Kuan-Min Wang, “The contagion effect of COVID-19 on stock markets,” Journal of Statistics and Management Systems, vol. 25, no.6, pp.1379-1398 (2022).
[20] Talha Akbar Kamal, Shagufta Naaz, Rajeev Singh Bhandari, Hitendra Shukl & Rehan Khan, “Impact of trade openness and inflation on FDI in India: ARDL Approach,” Journal of Statistics and Management Systems, vol.25, no. 5, pp.1103-1113 (2022).
[21] H. Bhardwaj, M.M. Jamal, “Effect of using Internet of Things for personalized advertisements on consumer buying behaviour,” Journal of Statistics and Management Systems, vol. 25, no. 2, pp.1135-1146 (2022).
