Source: ATYUN AI platform
New research shows that human speech patterns may reveal a person's risk of suffering from mental illness-related. This finding may be early diagnosis of the patient.
Determine which young people will suffer from mental illness, this could be a guessing game to mental health specialists. However, new technology can analyze speech patterns of the human being into the public's attention in the future, to identify those who are at risk of mental illness will be as easy as talking to a human.
Mental illness may be caused by mental health conditions, such as schizophrenia. It and depression and bipolar disorder as a mental illness belong. Although there are some known risk factors, such as family members suffering from mental illness, but mental health experts are not sure which would be at high risk of suffering from mental illness.
In recent years, researchers have turned to the target computer algorithms, mental health experts to help analyze language at high risk in order to find clues from their speech. This week, researchers reported in a small study that speech patterns may help reveal which people may be suffering from mental illness. Researchers from Mount Sinai School of Medicine, New York State Psychiatric Institute, University of California at Los Angeles (UCLA) and other institutions used a computer algorithm to study 93 speech patterns of young people at risk. Computer analysis of the recorded interview conducted a few years ago.
Words are coded so that the algorithm can determine which words are inappropriate. Therefore, this program can identify a person may be what problems will arise in the course of conversation. The researchers say that the algorithm can identify which patients suffering from mental illness, the accuracy rate of 83%. The team used this program in the second group of subjects, and found that its accuracy rate of 79%. The program can also distinguish between healthy people and patients with psychotic episodes, accuracy was 72%. Cheryl Corcoran is an associate professor of psychiatry at Mount Sinai School of Medicine and is a member of the study. She said: "If people tend to lose conversation clues, they seem more likely to suffer from mental illness."
Corcoran believes that computers can more skillfully than most to analyze language researchers.
She said: "When the topic of change, they found a computer model allows for more detailed analysis of the language to develop better techniques to identify those who will suffer from mental illness is very important..." Currently, mental health experts can be determined by observing the current symptoms of someone who may be suffering from mental illness, but many people at risk of mental illness will not develop into a complete mental disease. Kirkland said: "Those who suffer from mental illness risk factors, only about 20% of people suffering from a mental illness and I hope we can use this method to screen those who seem to have a mental illness at risk, so we do. We can evaluate them and provide treatment. "
This switched ATYUN artificial intelligence media platforms, the original link: artificial intelligence algorithms to predict schizophrenia
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