1. User Inputs Collection: Our program collects a wide range of data from the user via the website form, including age, partner’s fertility, menstrual cycle specifics, medical history, previous pregnancies or miscarriages, body weight, alcohol consumption habits, and physique. The accuracy of the result is heavily reliant on the authenticity of these inputs.
2. Initialization of Base Probability: We establish a starting point with a base fertility probability of 50%. This serves as a reference point for subsequent adjustments based on the user’s unique inputs.
3. Probability Adjustments: The core logic of our program commences with modifying this base probability. These adjustments are multifaceted:
4. Age: The probability diminishes by 0.5% for each year over 35 and an additional 1% for each year over 40.
5. Partner’s Fertility: If a partner’s fertility is reported as below average, it results in a 10% reduction in the overall probability.
6. Medical Conditions: Each reported medical condition leads to a 5% decrease in the fertility probability.
7. Previous Pregnancies and Miscarriages: The number of previous pregnancies decreases the chances by 5% each, while prior miscarriages account for a 10% reduction each.
8. Body Weight: A healthy weight range is calculated based on the user’s height and physique. If the user’s weight falls outside of this range, the fertility probability decreases by 10%.
9. Drinking Habits: If the user reports heavy drinking or moderate drinking on more than 14 days a month, the fertility probability decreases by 10%.
10. Calculation of Healthy Weight Range: A function is employed to determine the healthy weight range based on the user’s height and physique. It utilizes standard BMI (Body Mass Index) categories and adjusts the minimum and maximum healthy weight accordingly.
11. Ensuring Probability Bounds: After all adjustments, our algorithm ensures that the final fertility probability remains within the logical boundaries of 0% to 100%.
12. Monthly and Annual Probability Calculation: The algorithm converts the final fertility probability into a decimal to represent the monthly probability. The annual probability is then calculated using a statistical formula that considers the chances of getting pregnant over 12 independent months.
13. Categorization of Results: A function categorizes the probabilities into ‘Very High,’ ‘High,’ ‘Average,’ ‘Low,’ or ‘Very Low.’ This categorization helps present the probabilities in a more user-friendly format.

Please note that this algorithm is not a substitute for professional medical advice. Always consult a healthcare provider for comprehensive fertility guidance.