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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Paper Title
MACHINE LEARNING APPROACHES ON POLYCYSTIC OVARY SYNDROME
Authors
Nigar Javed Tamboli, Prerna Pravin Agarwal, Pradnya Sanjay Dudhawade, Payal Kailas Hajare
Keywords
Predictive modeling, Model Training, Diagnosis, Machine Learning.
Abstract
Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting reproductive-aged women worldwide. It is characterized by a complex interplay of hormonal imbalances, metabolic dysfunction, and ovarian abnormalities. Early detection and diagnosis of PCOS are crucial for timely intervention and management of the condition. This abstract presents an overview of various approaches and advancements in PCOS detection, highlighting both traditional and emerging methods. The traditional diagnostic criteria for PCOS include the Rotterdam criteria, which require the presence of at least two out of three features: irregular menstrual cycles, clinical or biochemical signs of hyperandrogenism, and polycystic ovaries observed on ultrasound. However, these criteria have limitations, and newer diagnostic strategies are being explored.
IJCRT's Publication Details
Unique Identification Number - IJCRT2311412
Paper ID - 246536
Page Number(s) - d520-d526
Pubished in - Volume 11 | Issue 11 | November 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Nigar Javed Tamboli, Prerna Pravin Agarwal, Pradnya Sanjay Dudhawade, Payal Kailas Hajare, "MACHINE LEARNING APPROACHES ON POLYCYSTIC OVARY SYNDROME", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.d520-d526, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311412.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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