Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Polycystic Ovary Syndrome Prediction [ML]
PaperId: :  22057
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-22057
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Chavan Ganesh BabanSVPM COE Malegoan Bk
Gonte Akanksha VijaySVPM COE Malegoan Bk
Hole Swaranjali ShivajiSVPM COE Malegoan Bk
Khande Dnyaneshwari VikasSVPM COE Malegoan Bk
Khande Dnyaneshwari VikasSVPM COE Malegoan Bk

Abstract

Information Technology Engineering
PCOS, women's health, male hormones, infertility, early detection, machine learning, feature selection, Gaussian Naive Bayes (GNB), accuracy, prolactin (PRL), blood pressure, thyroid-stimulating hormone (TSH), pregnancy, miscarriage, intervention
Polycystic Ovary Syndrome (PCOS) is a significant health risk for women during their reproductive years. The disorder is characterized mainly by higher levels of male hormones and androgens, which cause the formation of fluid-filled follicles in the ovaries, preventing regular egg release. PCOS can result in difficulties such as miscarriage, infertility, and pregnancy troubles. According to the most recent information, about 31.3% of women in Asia have PCOS, and sadly, 69% to 70% of these instances go misdiagnosed. Recognizing the critical need for research to enable early detection and intervention to prevent serious PCOS effects, our primary research objective is to develop a predictive model for PCOS implementing advanced machine learning techniques. To establish our predictive models, we use a collection of clinical and physical information from women. We provide a novel feature selection method based on an optimized chi-squared (CS-PCOS) mechanism to improve accuracy and efficacy. The Gaussian Naive Bayes (GNB) method emerges as the top-performing model, overcoming other machine learning models and state-of-the-art studies, due to the novel CS-PCOS feature selection technique. GNB provides exceptional results with 100% accuracy, precision, recall, and F1-scores while requiring only 0.002 seconds of calculating time. Our results highlight the importance of various dataset features such as , waist-hip ratio , prolactin (PRL), systolic and diastolic blood pressure, thyroid-stimulating hormone (TSH), relative risk of breaths (RR-breaths), and pregnancy in PCOS prediction. Using the GNB algorithm and these critical criteria, our work intends to aid the medical community in early PCOS detection, thereby reducing miscarriage occurrences and enabling earlier management for women suffering from this disorder.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas. "Polycystic Ovary Syndrome Prediction [ML]" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 735-742
MLA Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas. "Polycystic Ovary Syndrome Prediction [ML]." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 735-742.
APA Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, & Khande Dnyaneshwari Vikas. (2023). Polycystic Ovary Syndrome Prediction [ML]. International Journal Of Advance Research And Innovative Ideas In Education, 9(6), 735-742.
Chicago Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas. "Polycystic Ovary Syndrome Prediction [ML]." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 6 (2023) : 735-742.
Oxford Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas. 'Polycystic Ovary Syndrome Prediction [ML]', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, 2023, p. 735-742. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Polycystic_Ovary_Syndrome_Prediction__ML__ijariie22057.pdf (Accessed : ).
Harvard Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas. (2023) 'Polycystic Ovary Syndrome Prediction [ML]', International Journal Of Advance Research And Innovative Ideas In Education, 9(6), pp. 735-742IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Polycystic_Ovary_Syndrome_Prediction__ML__ijariie22057.pdf (Accessed : )
IEEE Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas, "Polycystic Ovary Syndrome Prediction [ML]," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, pp. 735-742, Nov-Dec 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Polycystic_Ovary_Syndrome_Prediction__ML__ijariie22057.pdf [Accessed : ].
Turabian Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas. "Polycystic Ovary Syndrome Prediction [ML]." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 ().
Vancouver Chavan Ganesh Baban, Gonte Akanksha Vijay, Hole Swaranjali Shivaji, Khande Dnyaneshwari Vikas, and Khande Dnyaneshwari Vikas. Polycystic Ovary Syndrome Prediction [ML]. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(6) : 735-742. Available from: https://ijariie.com/AdminUploadPdf/Polycystic_Ovary_Syndrome_Prediction__ML__ijariie22057.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Assessing the Impact of Comprehensive Chromosome Screening in Preimplantation Genetic Testing for Aneuploidy: A Meta-Analytical ReviewBiotechnologyAnindita Kundu Download
Expansion of biosimilars in indian pharmaceutical marketBiotechnologyVadi Aryan Download
Advanced Doctorate of Philosophy Seven Months Diploma in Bio-Eco-Bio cum Bio-Eco-Bio Biotechnological Bio-Eco-Bio Plant Sciences cum Advanced & Applied Bio Plant Sciences (Bio-Eco-Bio Edible Herbal) With Second PreceedingBiogeosciences Amit Rastogi Download
Polycystic Ovary Syndrome Prediction [ML]Information Technology EngineeringChavan Ganesh Baban Download
Role of Nutrition in Chronic Kidney DiseaseFood science and NutraceuticalMs. Tanvi Sunil Ballal Download
Understanding of Valoctocogene Roxaparvovec (Roctavian) as a Breakthrough Gene Therapy for Hemophilia Type Alife Sciences Sanaullah Safi Download
Overview of artificial intelligence and NanoroboticsPharmacyKakade Swati babasaheb Download
Studies on Extraction of Flavonoids from Leaves of Artocarpus heterophyllusBiotechnologyAnsh Aggarwal Download
NANOMEDICINES IN NANOTECHNOLOGYPharmacyMohammad Shoab Shaikh Diler Download
A Study of Pseudomonas Bio Control Strains for Environmental Bio Control Inoculants ApplicationsBIOTECHNOLOGYDr. Sudhir Kumar Mishra Download
A Study of Genomics and Metabolic Reconstructions with Pseudomonas from Biotechnology BiotechnologyDr. Sudhir Kumar Mishra Download
A Study of Creation of Tailor-Made Synthetic Properties Pseudomonas Putida in Bacterial HostBIOTECHNOLOGYDr. Sudhir Kumar Mishra Download
A Study of Recent Advances in Systems Biology of Pseudomonas in BiotechnologyBiotechnologyDr. Sudhir Kumar Mishra Download
A Study of Pseudomonas Putida of Core Carbon and Energy Metabolism in BiotechnologyBIOTECHNOLOGYDr. Sudhir Kumar Mishra Download
Recent Developments on Bio Products and Bioprocess Intensification in Biopharmaceutical ManufacturingChemical Engineering and Bio TechnologySahithi P B (Research Scholar) Download
12