Method and related device for predicting suicide risk of bipolar disorder based on magnetic resonance imaging

Abstract

The method for predicting the suicide risk of bipolar disorder based on magnetic resonance images and related devices provided by the present invention, the method includes: acquiring image data of a characteristic brain region of the subject to be tested; the image data includes biological characteristic indicators; the characteristic brain region represents biological characteristics The corresponding brain region when there is a difference between the index and the preset biometric index; the biometric index represents the fluctuation intensity of the functional activity of the brain area in the resting state; input the image data into the trained suicide risk prediction model, and determine the The risk assessment value corresponding to the biometric index; when the risk assessment value is greater than the preset pre-threshold, it is determined that the subject to be tested has a suicide risk. The invention can avoid the uncertainty and misdiagnosis rate caused by relying on professional knowledge and subjective judgment of doctors, and can provide theoretical support for patients' diagnosis.

Description

technical field [0001] The present invention relates to the technical field of functional magnetic resonance imaging, in particular to a method for predicting suicide risk of bipolar disorder based on magnetic resonance imaging and a related device. Background technique [0002] With the development of economy, sanitation and medical treatment, the average life expectancy of people all over the world has been extended. But at the same time, due to many factors such as increased competitive pressure, the incidence of mental illness is increasing year by year worldwide, and it has become one of the main causes of death. [0003] For some recurrent mental illnesses with high suicide risk, such as bipolar disorder, inappropriate treatment and poor predictability often lead to frequent occurrence of adverse events such as suicide. [0004] At present, many clinical scoring scales are used to identify symptoms of bipolar disorder to help early identification of bipolar disorder. ...

AI Technical Summary

Problems solved by technology

[0003] For some recurrent mental illnesses with high suicide risk, such as bipolar disorder, inappropriate treatment and poor predictability often lead to frequent occurrence of adverse events such as suicide

[0004] At present, many clinical scoring scales are used to identify symptoms of bipolar disorder to help early identification of bipolar disorder. Although this method has some utility, it still lacks enough specificity to reduce the uncertainty of diagnosis. Relying heavily on the professional knowledge and experience judgment of doctors, it is impossible to predict the suicidal tendency of patients with bipolar disorder and intervene early

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