Synthetic Polycystic Ovary Syndrome Dataset

Dataset Features:

• Patient File No.: Unique identifier for each patient.
• PCOS (Y/N): Whether the patient has PCOS (Yes, No).
• Age (yrs): Age of the individual (in years).
• Weight (Kg): Weight of the individual (in kilograms).
• Height (Cm): Height of the individual (in centimeters).
• BMI: Body Mass Index, calculated from weight and height.
• Blood Group: Blood group of the individual.
• Pulse rate (bpm): Pulse rate in beats per minute.
• RR (breaths/min): Respiratory rate in breaths per minute.
• Hb (g/dl): Hemoglobin level in grams per deciliter.
• Cycle (R/I): Regular (R) or Irregular (I) menstrual cycle.
• Cycle length (days): Length of menstrual cycle in days.
• Marriage Status (Yrs): Duration of marriage in years.
• Pregnant (Y/N): Whether the individual has been pregnant (Yes, No).
• Number of Abortions: Total number of abortions.
• I beta-HCG (mIU/mL): Beta-Human Chorionic Gonadotropin level (first test).
• II beta-HCG (mIU/mL): Beta-Human Chorionic Gonadotropin level (second test).
• FSH (mIU/mL): Follicle Stimulating Hormone level (mIU/mL).
• LH (mIU/mL): Luteinizing Hormone level (mIU/mL).
• FSH/LH: Ratio of Follicle Stimulating Hormone to Luteinizing Hormone.
• Hip (inch): Hip circumference in inches.
• Waist (inch): Waist circumference in inches.
• Waist:Hip Ratio: Ratio of waist circumference to hip circumference.
• TSH (mIU/L): Thyroid Stimulating Hormone level (mIU/L).
• PRL (ng/mL): Prolactin hormone level (ng/mL).
• Vit D3 (ng/mL): Vitamin D3 level (ng/mL).
• PRG (ng/mL): Progesterone level (ng/mL).
• RBS (mg/dl): Random blood sugar level (mg/dl).
• Weight gain (Y/N): Whether the individual has experienced weight gain (Yes, No).
• Hair growth (Y/N): Whether the individual has experienced hair growth (Yes, No).
• Skin darkening (Y/N): Whether the individual has experienced skin darkening (Yes, No).
• Hair loss (Y/N): Whether the individual has experienced hair loss (Yes, No).
• Pimples (Y/N): Whether the individual has pimples (Yes, No).
• Fast food (Y/N): Whether the individual consumes fast food regularly (Yes, No).
• Regular Exercise (Y/N): Whether the individual exercises regularly (Yes, No).
• BP Systolic (mmHg): Systolic blood pressure (mmHg).
• BP Diastolic (mmHg): Diastolic blood pressure (mmHg).
• Follicle No. (L): Number of follicles in the left ovary.
• Follicle No. (R): Number of follicles in the right ovary.
• Avg. F size (L) (mm): Average follicle size in the left ovary (mm).
• Avg. F size (R) (mm): Average follicle size in the right ovary (mm).
• Endometrium (mm): Endometrial thickness in millimetres.

Usage:

• PCOS Diagnosis and Analysis: Explore the relationship between lifestyle, medical history, and PCOS, and build classification models for PCOS diagnosis.
• Health Risk Assessment: Assess the health risks associated with PCOS and identify contributing factors such as weight, BMI, hormonal levels, and lifestyle choices.
• Predictive Modeling: Develop models that predict the likelihood of PCOS based on individual factors.
• Healthcare Research: Investigate patterns and trends in PCOS and its contributing factors, such as obesity, insulin resistance, and hormonal imbalances.
• Public Health Policy: Analyze trends and guide interventions to improve the management and prevention of PCOS and related health conditions.

Distribution:

Coverage:

License:

Who Can Use It:

• Data Science Learners: Ideal for practising data cleaning, manipulation, and building classification models.
• Healthcare Professionals and Researchers: Useful for studying PCOS and its contributing factors, as well as improving the diagnosis and treatment of the syndrome.
• Medical Analysts: For developing models to predict PCOS and assess health risks associated with the condition.
• Public Health Officials: To analyze trends and make data-driven decisions regarding public health policies and interventions for managing PCOS.