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  2. Calendar-based contraceptive methods - Wikipedia

    en.wikipedia.org/wiki/Calendar-based...

    The standard days method is also considered a calendar-based method, because when using it, a woman tracks the days of her menstrual cycle without observing her physical fertility signs. The standard days method is based on a fixed formula taking into consideration the timing of ovulation, the functional life of the sperm and the ovum, and the ...

  3. Flo (app) - Wikipedia

    en.wikipedia.org/wiki/Flo_(app)

    Flo is a health app that provides menstrual cycle and ovulation tracking as well as pregnancy tracking. [1] The application is available on iOS and Android. [2] Application's development hubs are in London, Amsterdam and Vilnius. [3] [4] Flo has over 380 million downloads worldwide and over 70 million monthly active users as of November 2024. [5]

  4. Gestational age - Wikipedia

    en.wikipedia.org/wiki/Gestational_age

    There is also considerable variability in this interval, with a 95% prediction interval of the ovulation of 9 to 20 days after menstruation even for an average woman who has a mean LMP-to-ovulation time of 14.6. [9] In a reference group representing all women, the 95% prediction interval of the LMP-to-ovulation is 8.2 to 20.5 days. [8]

  5. Ovulation - Wikipedia

    en.wikipedia.org/wiki/Ovulation

    The days in which a woman is most fertile can be calculated based on the date of the last menstrual period and the length of a typical menstrual cycle. [4] The few days surrounding ovulation (from approximately days 10 to 18 of a 28-day cycle), constitute the most fertile phase.

  6. Period-Tracking Apps Aren't The Most Foolproof Way To Track ...

    www.aol.com/lifestyle/period-tracking-apps-arent...

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  7. Clue (mobile app) - Wikipedia

    en.wikipedia.org/wiki/Clue_(mobile_app)

    The Clue mobile application calculates and predicts a user's period, fertile window, and premenstrual syndrome. It also informs users the most or least likely time for becoming pregnant and allows them to track more than 30 health categories, including sex, sleep, pain, exercise, hair, skin, digestion, emotions and energy. [13]