SickPredict‪™‬ 17+

Health Logic Global

    • 4,0 • 1 Bewertung
    • Gratis
    • In-App-Käufe möglich

Beschreibung

Requires an Apple watch and iPhone.

Experience the future of personalized health! Based on tested scientific research and data from your Apple watch, the SickPredict™ App calculates, in real-time, your personalized SickNumber™ to help anticipate any upcoming changes in your health up to 72 hours in advance of experiencing any symptoms! Your personalized SickNumber™ is based on the specific health metrics gathered from your Apple watch.

Key features:
1. Anticipates changes in your health up to 72 hours before you show symptoms! Research-tested, we can now predict oncoming illness with reasonable accuracy. Keep in mind, it is not perfect, but the scientific results have been conclusive in using certain data collected by your Apple watch to proactively identify potential changes in your health.
2. Track your health changes over time. Use this app to calculate your daily SickNumber™ and track your history. This app uses machine learning algorithms to track changes in your SickNumber™ over time.
3. Receive periodic alerts. The SickPredict™ app sends you daily notifications of your SickNumber™ and changes in your risk level.

How It Works
Over the past several years, research studies have been conducted involving more than 100,000 people wearing smart watches and the results were very positive, showing strong levels of accuracy in the ability to predict illness from health data that was recorded by the wearables.

This app integrates with Apple Health and uses a multitude of data that is provided by your wearable everyday such as Active Energy, Body Temperature, Heart Rate, Heart Rate Variability, Oxygen Saturation, Resting Energy, Steps, Resting Heart Rate, Sleep Data and more. The SickPredict™ App calculates, in real-time, your personalized SickNumber™.

The daily SickNumber™ ranges from 1-10 to help anticipate any upcoming changes in your health.

Here are the SickNumber™ risk levels:
o Low risk is 1-4
o Medium risk is 5-7
o Elevated risk is 8-10

Suggestions/Comments
• Although it is not required to use your wearable at night, it is highly recommended. The results are significantly better if you consistently wear your watch at night and consistently throughout the day.
• Remember, do not rely on the SickPredict™ App for medical advice or diagnosis. The App is not a replacement or substitute for professional medical care. Use the App for informational, general wellbeing purposes only. Always consult your health professionals if you have any health concerns.

Subscriptions
Payment will be charged to the credit card connected to your iTunes account after your trial period ends and when your subscription starts. Subscriptions automatically renew unless auto-renew is turned off at least 24 hours before the end of the trial period or current subscription period.

The subscription options for the Basic Access subscription include either a $3.99/month monthly fee or $28.99/ year annual fee. Both include a free 1 week trial. Manage your subscription by going to your Account Settings on your iPhone.

Additional Information: Visit www.SickPredictApp.com
Terms of Use: Visit https://sickpredictapp.com/terms-of-use/

Neuheiten

Version 2.20

Performance, accuracy improvements and bug fixes.

Bewertungen und Rezensionen

4,0 von 5
1 Bewertung

1 Bewertung

PJ_USA ,

Very useful app, but basic features for free would be great

The sick predict app is very useful and helpful. I like how accurately it predicts how likely you are to get sick . However, I wish that basic features like the sick number display was free.

App-Datenschutz

Der Entwickler, Health Logic Global, hat darauf hingewiesen, dass die Datenschutzrichtlinien der App den unten stehenden Umgang mit Daten einschließen können. Weitere Informationen findest du in den Datenschutzrichtlinien des Entwicklers.

Daten, die zum Tracking deiner Person verwendet werden

Die folgenden Daten werden möglicherweise verwendet, um dich über Apps und Websites anderer Unternehmen hinweg zu verfolgen:

  • Kennungen

Mit dir verknüpfte Daten

Die folgenden Daten werden möglicherweise erfasst und mit deiner Identität verknüpft:

  • Gekaufte Artikel
  • Kennungen

Die Datenschutzpraktiken können zum Beispiel je nach den von dir verwendeten Funktionen oder deinem Alter variieren. Weitere Infos

Das gefällt dir vielleicht auch

Wellth Gesundheits-Tracker
Medizin
Symptomtagebuch゜
Gesundheit und Fitness
My Pain Diary & Symptom Tracker: Gold Edition
Medizin
Talli Health & Symptom Tracker
Medizin
MyPHD
Gesundheit und Fitness
Sense Relief
Medizin