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Automatic assessment system for schizophrenia based on neurocognitive function and machine learning

An automatic assessment technology for schizophrenia, applied in medical automated diagnosis, sensors, informatics, etc., can solve the problems that affect the detection results and objective judgment, difficult to treat, and inconvenient detection of schizophrenia

Pending Publication Date: 2019-03-19
BEIJING ANDING HOSPITAL CAPITAL MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Also due to the particularity of the symptoms of schizophrenia patients, the hospital's consultation and testing environment will bring additional external pressure to the patients, which will affect the test results and objective judgment
At the same time, due to the characteristics of patients with schizophrenia, it is often difficult to receive treatment in a static state.
This all brings inconvenience to the detection of schizophrenia

Method used

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  • Automatic assessment system for schizophrenia based on neurocognitive function and machine learning
  • Automatic assessment system for schizophrenia based on neurocognitive function and machine learning
  • Automatic assessment system for schizophrenia based on neurocognitive function and machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Example 1 Schizophrenia Automatic Assessment System Based on Neurocognitive Function and Machine Learning

[0063] The present embodiment provides an automatic assessment system for schizophrenia based on neurocognitive function and machine learning, the system includes a data acquisition module 1, a feature engineering module 2, an automatic assessment module 3; a data acquisition module 1, a feature engineering module 2 , the automatic evaluation module 3 is connected in sequence;

[0064] The data collection module 1 includes a neurocognitive testing unit 11 , a cognitive score test rough score calculation unit 12 , and a cognitive score test standard score calculation unit 13 .

[0065] The feature engineering module 2 includes a feature selection fusion unit 21 , a data dimensionality reduction unit 22 , and a pattern classification design unit 23 .

[0066] The automatic evaluation module 3 includes a machine model construction unit 31 , a predictive performance ...

Embodiment 2

[0067] Embodiment 2 The workflow of the system of the present invention

[0068] (1) Measure the neuropsychological state of the individual using the neurocognitive test unit

[0069] The Chinese version of RBANS (Repeatable Battery for the Assessment of Neuropsychological Status) was used to measure the neuropsychological status of healthy subjects and patients with schizophrenia, including the following five factors: immediate memory (vocabulary learning, story retelling), visuospatial structure (figure copying, line orientation), language (picture naming, semantic fluency), attention (digit span, encoding) and delayed memory (lexical recall, word re-identification, story recall, and graphic recall). And the Stroop test, which tests the executive function of the subjects.

[0070] (2) Use the Cognitive Score Test Rough Score Calculation Unit to calculate the Cognitive Score Test Rough Score

[0071] According to the scoring criteria, calculate vocabulary learning, story re...

Embodiment 3

[0112] Embodiment 3 Evaluation effect detection of the system of the present invention

[0113] Research objects: 75 patients with schizophrenia and 50 healthy subjects. The demographic data and clinical characteristics of the study subjects are shown in Table 1.

[0114] Table 1 Demographic data and clinical characteristics of healthy control group and chronic schizophrenia group

[0115] factor

CON (N=50)

SCZ (n=75)

x 2 / t

P

Gender: Male Female)

38 / 12

53 / 22

0.43

0.512 a

age (year)

42.2±8.8

44.9±6.9

-1.89

0.061 b

Education (year)

10.9±3.1

10.9±2.6

-0.14

0.887 b

smoking (yes / no)

24 / 26

39 / 36

0.19

0.661 a

Disease course (year)

19.4±8.3

Age of onset (year)

24.9±6.7

CPZe(mg / day)

295.0±257.3

PANSS score

62.6±13.4

--Positive symptoms

12.8±4.8

-- Negative symptoms ...

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Abstract

The invention discloses an automatic assessment system for schizophrenia based on a neurocognitive function and machine learning. The system comprises a data acquisition module (1), a feature engineering module (2) and an automatic assessment module (3); the data acquisition module (1), the feature engineering module (2) and the automatic assessment module (3) are connected in sequence. The automatic assessment system can be used for screening and assessing the schizophrenia, has a significant effect on distinguishing schizophrenic and healthy people and is suitable for clinical promotion.

Description

technical field [0001] The invention belongs to the technical field of computer-aided medical treatment, and relates to an automatic assessment system for schizophrenia, in particular to an automatic assessment system for schizophrenia based on neurocognitive function and machine learning. Background technique [0002] Schizophrenia is a malignant mental illness whose etiology is not yet clearly understood. Schizophrenia involves various obstacles such as sensory disturbance, thinking disorder, emotional disorder, volitional behavior disorder and cognitive dysfunction, as well as incoordination of mental activities. The onset is usually slow or subacute in young adults. Patients generally have clear consciousness and normal intelligence, and have the characteristics of recurrent attacks, aggravation, and difficulty in curing, which brings great inconvenience and pain to patients and their families. [0003] At present, the number of people suffering from schizophrenia in ou...

Claims

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Application Information

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IPC IPC(8): A61B5/16G16H50/20G16H50/70
CPCA61B5/165G16H50/20G16H50/70A61B5/7267
Inventor 王传跃田晴杨宁波
Owner BEIJING ANDING HOSPITAL CAPITAL MEDICAL UNIV
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