For some years now, we've had access to advanced weather models enabling us to have accurate forecasts of the weather around us, all the more so with the advent of artificial intelligence (AI). But never before have we had accurate forecasts of our own emotional weather and psychic health. This is no longer true. At OpenSynaps, thanks to theartificial intelligence, machine learning and data mininga unique algorithm that predicts the evolution of our mood over the course of a week. This algorithm also gives the various correlations or relationships that make up this prediction.
All available in an easy-to-use, harmonious interface. Test it on https://app.opensynaps.com/ia
Why use artificial intelligence in mental health?
Artificial intelligence has a reputation for being cold and unemotional. To some extent, this is true. But artificial intelligence also enables us to do things we couldn't before. Or that we could, but at great cost. L'artificial intelligence makes it possible to democratize certain aspects for as many people as possible. And this also applies to mental health.
But be carefulartificial intelligence should not replace human contact and warmth. That's why we've created an artificial intelligence that works in synergy without replacing this all-important human contact.
How does AI prediction for mental health work?
At OpenSynaps, we already had a personal diary with a number of customizable pages allowing the user to enter information such as emotional state, sleep quality and diet. We already knew in which direction we wanted to go, so we made a point of classifying the data, which is essential for making the best use of the data. machine learning and data mining efficient.
To make an effective prediction, two things are important. The algorithm used and the amount of data. As far as algorithms are concerned, we use several depending on the amount of data available.
- Linear regression when we have little data. This is very efficient, but only allows us to find simple correlations between different elements.
- The Machine Learning algorithm Random Forest which works with decision trees. This is very effective on large amounts of data, and enables advanced correlations to be found.
- The regression algorithm Gaussian Linear Regressor which delivers even better results than the algorithm with decision trees, but requires even more data.
How machine learning works
To begin with, these machine learning algorithms calculate correlations between different personal elements such as emotional state, diet and sleep quality. At this stage, we take the opportunity to add real elements that could influence the user, such as temperature, lunar phase or luminosity. Correlations enable us to recover the relationships between the various elements. For example, sleep quality is related to lunar phase. Once these correlations (relationships) have been found, it's easy to make predictions. Because we know that when the lunar phase is high, sleep quality drops. It's just a matter of finding these correlations and finding yourself in the right place. thousands of data. All in a timeframe short enough to make it democratizable on a large scale.
And thanks to the use of artificial intelligence and these machine learning of the latest generations.
The importance of simplicity in machine learning and artificial intelligence
As mentioned above, artificial intelligence is often frowned upon as cold and inhuman, especially in the social and medical fields, where warmth and welcome are part of any successful process.
For this reason, it is really important to offer a simple and fun experience of the machine learning and theartificial intelligence. On OpenSynaps, we use procedural artificial intelligence to generate hypnosis sessions, LLM artificial intelligence (Large Language Model) for our AI psychologist, as well as Machine Learning and Data Mining algorithms to produce our predictions and correlations. And yet, it all remains extremely simple for end-users. They don't see all the complexity behind it, just the results displayed in a simple, playful interface. An interface that could even be described as childlike. Big buttons, lots of colors, maybe even too many!
But it does humanize artificial intelligence and democratize machine learning. Because although these are complex technologies, the result is simple.
Artificial intelligence: the Ferrari or the city minivan?
An image I like to use is a comparison with a car. Everyone dreams of a Ferrari, but you're often better off in a VW bus. Why is that? Quite simply because a Ferrari is hard to drive, hard on the shocks, consumes a lot of fuel, has little space and we're constantly afraid of damaging it. The VW bus consumes little fuel, is easy to park and allows us to travel quite comfortably.
And it's exactly the same for mental health. We don't want to be in a Ferrari. We're not interested in going fast and getting noticed. We want to be comfortable, warm and pressure-free.
On OpenSynaps, that's what we tried to achieve. Hiding a Ferrari engine in a VW bus. Because psychological health is all about warmth, comfort and relaxation. What the Ferrari, understanding the complexity and coldness of artificial intelligence, doesn't match.
In conclusion: Artificial intelligence in mental health
L'artificial intelligence makes impossible things possible for psychologists, psychotherapists and mental health professionals. And yet, with its aura of coldness and complexity and the fear of the Great Replacement, it is frightening.
At OpenSynapsInstead, we propose to use artificial intelligence to democratize access to psychological health for all. Thanks to our procedural artificial intelligence for generating hypnosis sessions, our LLM (GPT) AI psychologist artificial intelligence and now our advanced machine learning on user data, we are able to offer an unprecedented service, online, completely autonomously, all the time.
All wrapped up in a simple, fun way.
Test it all on https://app.opensynaps.com/ia
