Abstract
This study investigated Polycystic Ovary Syndrome (PCOD) treatment strategies by analyzing data from 156 patients. The Patient data has been collected from Nangal, Punjab. The collected data included patient demographics (age and gender), cause (if known), and a range of symptoms. Statistical analysis explored relationships between age, gender, and the reported symptoms. The findings from the statistical analysis served as the foundation for proposing a groundbreaking approach to PCOD treatment – tailoring interventions based on the unique symptom profile of each patient. Based on these findings, the study proposes a novel approach to PCOD treatment – tailoring interventions based on the specific symptom profile of each patient. This personalized approach has the potential to improve treatment efficacy and patient outcomes. This research represents a significant step towards individualizing PCOD treatment. By analyzing patient data and proposing a symptom-based treatment, the study has the potential to revolutionize the management of this complex condition.
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