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Blood Glucose Monitor: Glum

Blood Glucose Monitor: Glum

Mert KESER

Health & Fitness免费v1.2
App Store
评分

4.9

13 条评分

星级

★★★★★

最近更新

2025年6月30日

发布日期

2025年6月18日

更新内容

v1.2

Bug fixes and performance improvements.

应用信息

开发者
Mert KESER
分类
Health & Fitness
价格
免费
版本
1.2
App ID
6747291690

简介

Glucose Monitor is your personal assistant for tracking and managing blood glucose levels. With an intuitive interface and comprehensive features, the app helps you maintain better control of your diabetes and overall health. Key Features: - Easy glucose reading tracking with customizable measurement types (before meals, after meals, bedtime, etc.) - Comprehensive statistics - Doctor contacts management for quick access to healthcare professionals - Blood sugar range tables and glycemic index information - Multiple measurement units support (mg/dL, mmol/L) - Weight tracking with support for different units (kg, lbs) - A1C tracking for long-term diabetes monitoring - Medication management with photo support Whether you've just been diagnosed with diabetes or have been managing it for years, Glucose Monitor provides all the tools you need to take control of your health. The clear visualization of your glucose trends helps you make informed decisions and communicate more effectively with your healthcare providers. Download Glucose Monitor today and take the first step toward better diabetes management! The application provides a subscription service that automatically renews. At the conclusion of each billing cycle, your subscription will renew automatically, and your iTunes account will be charged accordingly. You have the option to disable auto-renewal at any time via your iTunes account settings. Please note that refunds are not available for any unused time within the subscription period. For more information, please refer to our: https://mert-keser.pages.dev/privacy & https://mert-keser.pages.dev/terms

下载量预测

专业 · 预览

预估总下载量

1K8672K
保守估计乐观估计

79

低 / 月

107

预估 / 月

169

高 / 月

基于13 条评分
假设评分率1.1%
应用年龄11 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。