Menstrual Cycle Predication 1.5.1

Alongkorn Khantawong – Freeware – iOS
out of 3 votes

The application provides an intuitive way to track your menstrual cycle with confidence. By simply inputting the date of your last menstrual period, it accurately predicts the dates of future cycles, allowing users to stay informed about their reproductive health.

Designed for ease of use, this app offers a straightforward interface that makes cycle tracking accessible for everyone. It not only helps in understanding personal patterns but also serves as a reliable reminder for upcoming menstrual periods.

Users are encouraged to provide feedback and share their experiences, contributing to the ongoing improvement of the application.

Overview

Menstrual Cycle Predication is a Freeware software in the category Home & Hobby developed by Alongkorn Khantawong.

The latest version of Menstrual Cycle Predication is 1.5.1, released on 01/06/2025. It was initially added to our database on 01/06/2025.

Menstrual Cycle Predication runs on the following operating systems: iOS.

Users of Menstrual Cycle Predication gave it a rating of 4 out of 5 stars.

Pros

User-friendly interface allowing easy navigation and accessibility
Provides accurate predictions of menstrual cycles based on data input
Incorporates features for tracking symptoms, moods, and other health parameters
Offers reminders for upcoming periods, ovulation days, and fertile windows
Data privacy measures ensure personal health information is secure
Supports multiple languages for a diverse user base
May include educational resources about menstrual health and reproductive wellness

Cons

Limited functionality for users with irregular cycles or hormonal imbalances
Dependency on regular input of personal data for accuracy
Potential for inaccuracies if data is not consistently logged
Availability may be restricted to certain platforms or devices
Could require a subscription fee for advanced features or ad-free experience
Lack of integration with other health tracking apps may limit usability
Some users may find the prediction algorithms overly simplistic or not personalized enough

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