The issue of veterans is no longer a priority for American leaders. Veterans have long been regarded as consumables. Veterans are divorced from the society they defend. The American public does not understand the sacrifices made by Iraqi and Afghan veterans and their families. This statistic shows the obstacles that many veterans feel when they reintegrate into society. Artificial intelligence provides the possibility to identify people who are at risk of suicide more accurately and creates opportunities for people to intervene long ago. A study to be released later this month shows that the accuracy of using machine learning to predict whether someone will attempt suicide is 80% to 90%, which is much better than in the past two years. Researchers at Florida State University used anonymous electronic health records of 2 million patients in Tennessee to train an algorithm program.
From prescribing painkillers to going to the emergency room every year, a variety of factors can predict a person's life well. This is called. Partner? The application will passively collect all the words spoken by users during the day, and identify sound clues that suggest depression and other emotional changes. Compare their speeches and analyze the tone, vitality, mobility and participation of the conversation. It also uses the accelerometer of your mobile phone to calculate your activity, which is a powerful indicator of depression. This application can identify major changes in life, such as homelessness, which greatly increases the risk of self-harm.