The Science Behind
How it Works
While it sounds like magic, it is more about the science and math! Each day, your wearable tracks more than 250,000 of your health and fitness metrics. These metrics include but are not limited to: Active Energy, Body Temperature, Heart Rate, Heart Rate Variability and Sleep Data. SickPredict™ uses its revolutionary, machine-learning algorithms to analyze this data and provides you with a daily SickNumber™ to assess the likelihood of you getting sick. To learn more about the SickNumber™ risk levels, check out our FAQs.
A Few Words
About the App
SickPredict™ uses its revolutionary, machine-learning algorithms to analyze more than 250,000 of your health and fitness metrics and provides you with a daily SickNumber™.
who we are
Health Logic Global, LLC, the developers of SickPredict™ App were inspired by these challenging times to do something different. They were determined to find a more proactive manner to determine if a person was getting sick before they had a temperature and other symptoms, which meant it was far too late.
Over the past several years, many highly respected universities and research institutions such as Stanford, Harvard, MIT and Scripps conducted extensive studies to test the ability of wearables to monitor and track health metrics to predict illness. Recently, additional research studies have demonstrated very positive results in the accuracy of predicting illness from health data that is extracted from your wearable like the Apple Watch, FitBit, Garmin, Oura and more. SickPredict™ App uses this research and calculates, in real-time, your personalized SickNumber™ to help anticipate any upcoming changes in your health in advance of experiencing symptoms!
BASED ON PUBLISHED RESEARCH
wearable devices to predict illness"
even realize you’re sick."
Videos & Media
Inside South Florida report on SickPredict™
HealthCAST report on SickPredict™
NBC News recently highlighted the value of smartwatches in monitoring your health.
SickPredict™ – Success Tip #1
Our Users Love Us
“SickPredict™ came through for me. It gave me an early warning to call my doctor, instead of rushing to the ER and possibly ending up in the ICU. Thank you SickPredict™!”
Mary C. – Corning, NY
“I love SickPredict™ and I tell everyone I care about to use it.”
Steven S. – Boca Raton, FL
“This is a groundbreaking concept. Imagine the potential impact of this technology on reducing the spread of illnesses. This is exciting.”
Dr. Robert N. - Olney, IL
“When I received the standard flu shot the other day, my SickNumber™ skyrocketed within 24 hours and then after another 24 hours went back to normal. To me, it was further proof that the SickPredict™ App works!“
Cindy C. – Englewood, C
Kathy H. – Baltimore, MD
“As a physician, getting my patients to pay attention to their health is imperative and doesn’t happen as frequently as it should. The SickPredict™ App encourages its users to pay attention to their health every day.“
Dr. Mark B. – Los Angeles, CA
“This is an App that can make a difference for my patients. Imagine the far-reaching impact on public health.”
Dr. Alicia R. – Miami, FL
“Not only does SickPredict™ tell me when I’m getting sick, it shows me important health info from my Apple Watch – all in one place and in easy to read charts.”
Marilynn A. – Denver, CO
“I know it’s not foolproof, but it gives me a good indication that something may be going on with my health!”
Michael P. – Cooper City, FL
Carlos M. – Minneapolis, MN
“It’s easy to set up and use. The SickPredict™ App gives me the comfort of knowing that I’ll have some kind of warning when my health data is changing.”
Susan S. – Indianapolis, IN
“The SickPredict™ App gives me an extra layer of support when I’m trying to keep track of a serious health condition.”
Rob W. – Louisville, KY
Jess S. – Portland, ME
“All I had to do is download the app, leave it and it literally does the rest! When there’s a change in my health, SickPredict™ App automatically lets me know!”
Corin O. – Davie, FL
Most frequent questions & answers
Frequently Asked Questions
The SickPredict™ App calculates, in real-time, your personalized SickNumber™ to help anticipate any upcoming changes in your health in advance of experiencing symptoms! Your personalized SickNumber™ is based on the specific health metrics from your wearable. This process is possible because the SickPredict™ machine-learning algorithm learns more and gets more accurate the more you use it.
Yes. An iPhone 6 or newer is required.
Yes. It requires a wearable. The Apple watch has been extensively tested and works well to collect your most important biometrics. We are testing other wearables that might also work in the future.
It is highly recommended! Although it is not required to use your wearable at night or while you sleep, the results are significantly better if you consistently wear your watch during sleep because of the health and sleep data collected. SickPredict™ App’s accuracy increases significantly when using your wearable while sleeping.
You can expect to see an elevated SickNumber™ the next day, and in most cases, it will be overstated (possibly Yellow or Red). Your SickNumber™ should decrease throughout the day if there is no other underlying health issue.
It is important to consistently use your wearable to get the best results. Using your wearable while you sleep provides significantly better and more consistent results with the SickPredict™ App.
Although we have not tested every sleep app, we have successfully used Pillow and SleepWatch, both available for free on the Apple app store. We have found the new Apple Sleep app can adversely impact your SickNumber™.
Yes. Wearables will not communicate data to Apple Health if they are locked during use.
Yes. If your phone is crashing and is not consistently tracking your data with Apple Health, then it may impact your SickNumber™ and could cause it to be elevated.
You will know it is working by monitoring your daily SickNumber™ and manually entering your body temperature if/when you get an elevated risk level. It is also recommended that you closely monitor your symptoms and how you feel.
Remember, the SickNumber™ is personalized to you. You should get to know your range of SickNumbers™ and what they mean for your health. A SickNumber™ of 5.5 (Yellow) for one person may mean something different than a 5.5 (Yellow) for another person. It is best to look at our SickNumber™ in relation to your personal history. Keep in mind the body is a very sophisticated machine, and as a result, we are seeing an accuracy level of ~80+%. So, there will be times when your SickNumber™ may not be 100% accurate.
Yes. The SickPredict™ App permits users to enter their body temperature manually, and it is recommended that you do so frequently and particularly if/when receiving an elevated risk level warning. Coming soon is the ability to automatically enter body temperature via a Bluetooth enabled thermometer.
Yes. The SickPredict™ App permits users to enter their blood oxygen saturation level. It will also automatically enter this information from the new Apple Watch 6 series.
No. But this is something that we are exploring for a future version.
The ability to anticipate a pending illness is dependent on the data from your wearable. The more data you have, the better the SickPredict™ App performs. Also, the accuracy improves over time with more data.
So, if you start with no data, it will take time for the App to learn about your specific biometrics and train itself to improve over time. In this scenario, it is not uncommon to see elevated risk levels. Do not be concerned. Your SickNumber™ will adjust over time.
The good news is that most people will have historical data if they have been wearing their watch.
Coming soon, the SickPredict™ App will have the ability to communicate with symptoms tracker data and use that data to provide you with useful information.
The current version of the SickPredict™ App is designed for Apple iOS and the Apple watch (version 2 or greater). For future versions we are considering other wearables and perhaps an Android version. However, no firm plans at this time.
Right now, the only way to refresh your historical data is to delete the SickPredict™ App and reinstall it. We are looking at additional ways to do that from within the app.
There is no age restriction for use of the SickPredict™ App. However, the related medical research suggests the accuracy is less reliable for individuals under 18 years old.
We have been receiving positive feedback from physicians. In fact, two of the users who provided testimonials for the website are doctors. In addition, researchers, including groups from Stanford University, Harvard, and other notable research organizations, say that wearable data can be used to detect and even predict illness and disease. Wearing a smart watch continuously generates an enormous amount of data that can be used to help analyze, communicate and predict your health. While we are now only beginning to scratch the surface of what will likely be the standard soon, the evidence is already compelling that this is a revolutionary and useful technology for the future of personalized health.
We have seen users report a wide range of illnesses including the common cold, Covid-19, Lyme disease, migraines, seasonal flu, infections, and blood clots. Due to the sophistication and complexity of the human body, we expect to see a wide range of illnesses and know that each person will respond differently.
Always refer to your healthcare professional for advice and consultation.
Yes, one of the benefits of using the SickPredict™ App is your ability to review your historical biometric data all in one place! You can graphically see how your vital health data has changed over time. Our users tell us this is one of the most useful and well-liked features of the SickPredict™ App.