# Proactive Illness-Prediction Apps This App Tracks Signs of Illness Before Symptoms Appear By Rahul Kalvapalle | Published 2016-08-23 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/signs-of-illness References: [itunes.apple](https://itunes.apple.com/us/app/achu-sick-prediction-for-fitbit/id1122223057?mt=8) & [datapult](http://www.datapult.ca/) Achu is an innovative new smartphone app, developed by Toronto-based app developer Datapult, that is designed to make it easier for users to take advantage of the latest and greatest [illness-tracking technology](https://www.trendhunter.com/trends/aipowered-healthcare-platform) to be alerted when their body is displaying the first signs of illness, allowing them to take preventative and remedial measures. The Achu app works in conjunction with data drawn from the [Fitbit](https://www.trendhunter.com/trends/luffu) fitness monitor. By taking into account the users' sleep patterns, heart rate and activity patterns, the app is able to pick up on even subtle signs of illness before a user starts displaying outward symptoms. This predictive app is a great way for users to enhance their productivity by making use of [fitness-tracking data](https://www.trendhunter.com/trends/health-tracking1) to take proactive steps towards warding off illness. ## Trend Insights (Trend Hunter) - Score: 3.3/10 - Popularity: 31% | Activity: 61% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America, Europe ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [Mobile](https://www.trendhunter.com/mobile) ## Key Themes ### Key Themes Behind This Trend - **Proactive Illness-prediction:** Using health data to predict and prevent illness before symptoms appear. - **Wearable Integration:** Integrating data from wearables like Fitbit to monitor and track health. - **Predictive Healthcare:** Predicting and preventing illness based on user health data. ### Where This Applies - **Healthcare:** Incorporating proactive illness-prediction technology into patient care for improved health outcomes. - **Wearable Technology:** Developing wearable devices that integrate with data-driven health apps for predictive healthcare. - **App Development:** Creating predictive health apps that leverage user data from wearables like Fitbit to promote preventative healthcare. ## Related on Trend Hunter - [COVID-Monitoring Health Apps](https://www.trendhunter.com/trends/visible.md) - [AI Family Care Apps](https://www.trendhunter.com/trends/luffu.md) - [Holistic AI Health Apps](https://www.trendhunter.com/trends/medikarma.md) - [AI-Powered Gut Health Apps](https://www.trendhunter.com/trends/ayble.md) - [Wellness-Tracking Cannabis Apps](https://www.trendhunter.com/trends/cannabis-app.md) - [Data-Driven Everyday Health Apps](https://www.trendhunter.com/trends/bloom-health-app.md) - [Chronic Condition Management Tools](https://www.trendhunter.com/trends/human-health.md) - [Vitamin Deficiency-Identifying Apps](https://www.trendhunter.com/trends/vitaminico.md) - [Goal-Oriented Health Apps](https://www.trendhunter.com/trends/bright-app.md)