CN109473170A - Schizoid system is diagnosed using cognition index - Google Patents
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- 230000019771 cognition Effects 0.000 title claims abstract description 26
- 238000003745 diagnosis Methods 0.000 claims abstract description 18
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
Schizoid system is diagnosed using cognition index the invention discloses a kind of, which includes doctor terminal equipment, Central Analyzer.The system is then transmitted to Central Analyzer using the cognition index of doctor terminal equipment acquisition subject, and Central Analyzer, which is used, carries out schizoid diagnosis according to the diagnostic model of cognition index building.Using system of the invention, 86% diagnosis accuracy may be implemented, be suitable for clinical promotion and application.
Description
Technical field
The invention belongs to area of medical diagnostics, are related to a kind of schizoid diagnostic system, and in particular to a kind of utilization
It recognizes index and diagnoses schizoid system.
Background technique
Schizophrenia is that one group of cause of disease is unknown, with person between twenty and fifty be it is common, clinically with thinking, consciousness, mental handicape and
Uncoordinated, various obstacles such as mood and behavior mainly show.The disease course of disease is delayed more, recurrent exerbation, and the course of disease is relatively long
Patient largely all there is the decline of cerebration and the defect that social function is different degrees of so as to personal, family and society
Serious burden can be brought.It is calculated with Disability adjusted life years, mental disease ranks first in the ranking that China's disease is always born.
It is calculated according to WHO, a quarter that will be risen to China's disease to the year two thousand twenty mental disease burden and always bear.
In the clinical position of psychiatric department, schizoid diagnosis relies primarily on clinical symptomatology, lacks objective effective
Biological diagnosis index.Thus it is desirable that diagnosis and screening early stage schizoid objective indicator can be found.
With the development of molecular biology, people gradually pay attention to gene genetic to schizoid influence, right in recent years
Mankind's complex disease proposes the concept of interior phenotype (endophenotype), and Gottesman is defined as follows interior phenotype: 1.
Interior phenotype is existed jointly with disease, 2. in phenotype be independently of morbid state (no matter disease whether be in acute stage can
Show), 3. interior phenotype has heredity, and 4. interior phenotype and disease isolate, and 5. the specificity of interior phenotype is (i.e. patient's
The frequency occurred in biology relatives is higher than normal person).The research of internal phenotype can overcome the heredity of schizophreniac different
Matter, to the attention of the research of phenotype in schizophrenia due to its superiority by more and more researchers.Interior phenotype conduct
Bridge between clinical symptoms and genotype is the tool of research and discovery nerve modulation mechanism.Therefore, interior phenotype is for understanding
It the neuromechanism of mental disease and is of great significance to its early warning and diagnosis and treatment.Interior phenotype as it is a kind of between genotype and
Intermediate phenotype between clinical symptoms, it is intuitive not as clinical symptoms performance, it needs to detect by certain methods, at present
Cognitive function has certain stability with schizophreniac and family members to be thought to schizoid interior phenotype research
And hereditability, it can be used as phenotype in schizoid candidate.
Summary of the invention
The present invention provides diagnosing schizoid system using cognition index, the system comprises Central Analyzer 1,
The Central Analyzer 1 diagnoses schizophrenia using assessment models, and the assessment models are the cognition indexs according to measurement
Building is returned using polynary Logitic.
Further, the Central Analyzer 1 includes preprocessing module 11, diagnostic module 12.
Further, the cognition index includes information processing rate, pays attention to alertness, working memory, vocabulary learning, reasoning
With Resolving probiems, MCCB total score.
Further, the calculation formula of the assessment models are as follows:
Logit (P)=- 0.339+ (- 1.144) * information processing rate+(- 1.832) * pays attention to alertness+(- 0.232) *
Working memory+(- 0.440) * vocabulary learning+(- 0.099) * reasoning and Resolving probiems+(0.015) * MCCB total score.
Further, system of the invention further includes doctor terminal equipment 2, the doctor terminal equipment 2 and the center point
Parser 3 connects.
Further, the doctor terminal equipment 2 includes that the doctor terminal equipment 2 is adopted including login module 21, sound
Collection module 22 is manually entered information module 23, result display module 24.
Further, the doctor terminal equipment 2 includes desktop computer, laptop.
Further, the workflow of system of the invention is as follows:
(1) mentioned-above cognition index is measured using MCCB;
(2) the cognition index that step (1) is collected is transferred to Central Analyzer via doctor terminal equipment;
(3) Central Analyzer carries out schizoid diagnosis using mentioned-above assessment models;
(4) if Logit (P) < 0.333, judge that the subject does not suffer from schizophrenia or judges that the subject suffers from
There is schizoid risk small, judges that the subject should with schizophrenia or judgement if Logit (P) >=0.333
Subject is big with schizoid risk, and the above results are returned to doctor terminal equipment.
Further, the workflow of system of the invention is as follows:
(1) the cognition index of MCCB measurements determination subject is utilized;
(2) doctor logs in doctor terminal equipment by login module, using sound acquisition module or is manually entered information
Module acquires the cognition index collected through step (1);
(3) index will be recognized and is transferred to the pretreatment that preprocessing module carries out data;
(4) cognition index after pretreatment is transferred to diagnostic module and is assessed;
(5) if Logit (P) < 0.333, judge that the subject does not suffer from schizophrenia or judges that the subject suffers from
There is schizoid risk small, judges that the subject should with schizophrenia or judgement if Logit (P) >=0.333
Subject is big with schizoid risk;
(6) result of step (5) display module is returned the result to show.
The present invention also provides application of the mentioned-above system in diagnosis schizophrenia.
The function of the preprocessing module of the invention is will to recognize each variable of index to be normalized, and is converted into Z
Distribution, mean value 0, variance 1.
The function of the diagnostic module of the invention is to carry out schizoid diagnosis using the assessment models of building.
Data prediction before returning building diagnostic model and analysis using polynary Logitic, for art technology
It is routine techniques for personnel, according to pretreatment parameter provided by the present application and the diagnostic model of building, any one meter
The function that calculation machine programming personnel can readily be programmed to realize preprocessing module and diagnostic module.
" diagnosing " both as described herein includes whether suffering from schizoid judgement to subject, also includes to subject
Judgement with schizoid risk size.
The advantages of the present invention:
Schizoid system is diagnosed using cognition index the present invention provides a kind of, the system is for schizophrenia
Diagnosis accuracy be up to 86%, can be widely applied to clinic, realize the automation of schizophrenia assessment.
Detailed description of the invention
Fig. 1 shows the structural schematic diagram that schizoid system is diagnosed using cognition index of the invention;
Wherein, 1: Central Analyzer;11: preprocessing module;12: diagnostic module;2: doctor terminal equipment;21: logging in mould
Block;22: sound acquisition module;23: being manually entered information module;24: result display module;
Fig. 2 shows that diagnostic model of the invention distinguishes the ROC curve of schizophreniac and Healthy People.
Specific embodiment
The present invention is described in detail with experiment with reference to embodiments.
Embodiment 1 is based on cognition index and diagnoses schizoid system
It present embodiments provides a kind of utilize and recognizes the schizoid system of index diagnosis, which includes central analysis
Device 1, doctor terminal equipment 2.Central Analyzer 1 is connect with doctor terminal equipment 2.Central Analyzer 1 include preprocessing module 11,
Diagnostic module 12;Doctor terminal equipment 2 includes login module 21, sound acquisition module 22, is manually entered information module 23, result
Display module 24.System structure diagram is as shown in Figure 1.
The building of the diagnostic model of the invention of embodiment 2 and diagnosis effect evaluation
1, research object
This research is included in go to a doctor and (containing outpatient service, is hospitalized and suffers from the first episode schizophrenia that hospital meets diagnostic criteria
Person), enter 43 patients of group altogether.
Inclusion criteria: 1. meeting ICD-10 schizophrenia diagnosis standard, and 2 cure mainly and above Psycs diagnosis
Unanimously;2. First episode, without systematic treating;Total score > 60 point Positive and Negative Symptoms 3. (PANSS);4. journey of receiving an education
Spend >=6 years (graduating from primary school);5. the age 22-28 years old;6. can complete independently quiz content, obtain I or family members or guardian,
Or legal representative book and informed consent form.
Exclusion criteria: 1. merge brain organic psychosis, emotionality squeezes other mentally disturbeds such as refreshing obstacle;2. suffering from tight
Weight physical disease or the disease that may interfere with assessment;3. having drug abuse or pharmacological dependence history person in past 1 year;4. making before selected
Used antipsychotics, antidepressants, curtain thread, which stablize medicine, resists insane carbuncle medicine and Benzodiazepine etc. may interfere with the medicine of assessment
Object;5. there is serious conamen person;6. gestation or breast feeding women;7. the sense of hearing, visually impaired person.
Healthy control group totally 51, it is all from local community volunteer, the age 18-35 years old, education level >=6 year were (small
Learn graduation), previously listless history of disease, can cooperate completion to test.
2, process
All patients and healthy control group complete the acquisition and neuro-cognitive assessment of general information, wherein starting spirit point
Disease group is split before carrying out neuropsychological test, the conformability that its mental symptom completes test to it is assessed, so as to guarantee it
It can complete a whole set of neuropsychological test.
3, neuro-cognitive is assessed
Cognitive appraisal tool used by this research is Chinese edition cognition of schizophrenia battery of tests common recognition version
(MCCB).US National mental hygiene research institute (NIMH) started in 2003 improve cognition of schizophrenia measurement with
The plan for the treatment of establishes the standardized cognition of schizophrenia battery of tests one by Consensus of experts and clinical trial
Common recognition version, reflects schizoid cognitive function from a variety of different dimensions comprehensively.MCCB includes 7 cognitive domains: at information
It manages speed, pay attention to alertness, working memory, vocabulary learning, visual learning, reasoning and Resolving probiems, social recognition.Wherein, believe
Ceasing processing speed includes digit-symbol test, classification tri- fluency test-animal naming, trail making test A subtests, pays attention to police
Feel property aspect uses ongoing operation test-pairing, in terms of working memory using Webster test of memory third edition spatial extent and
Alphanumeric sequence, vocabulary learning use Thelma Hopkins verbal learning test revised edition, and visual learning uses simple visual learning
Revised edition is test, reasoning and Resolving probiems are test using the labyrinth NAB, and social recognition is test using Emotional intelligence quotient management.
All cognitions, which check and examine score and are all made of the mode of computerization, to be carried out, to avoid human factor influence.Cognition is checked and examined
It is completed by two professional psychological assessments teacher, psychological assessment teacher is before being checked and examined by system, one-week consistency
Training.
4, model is constructed
It is normalized firstly, MCCB is recognized each variable, is converted into Z distribution, mean value 0, variance 1.It calculates
MCCB recognizes each variable effect value Cohen ' s d, and the variable of d >=0.8 is included in building model.Including information processing rate, pay attention to
Alertness, working memory, vocabulary learning, reasoning and Resolving probiems, MCCB total score.
It brings Multivariate logistic regression analysis into, establishes Combining diagnosis model, calculation formula are as follows:
Logit (P)=- 0.339+ (- 1.144) * information processing rate+(- 1.832) * pays attention to alertness+(- 0.232) *
Working memory+(- 0.440) * vocabulary learning+(- 0.099) * reasoning and Resolving probiems+(0.015) * MCCB total score.
It is analyzed through ROC curve, P value description value is 0.333, this model is good to schizoid diagnosis effect, specific to tie
Fruit is as shown in table 1 and Fig. 2.
1 diagnosis effect of table statistics
The explanation of above-described embodiment is only intended to understand method and its core concept of the invention.It should be pointed out that for this
For the those of ordinary skill in field, without departing from the principle of the present invention, several improvement can also be carried out to the present invention
And modification, these improvement and modification will also be fallen into the protection scope of the claims in the present invention.
Claims (8)
1. a kind of diagnose schizoid system using cognition index, which is characterized in that the system comprises Central Analyzers
(1), for the Central Analyzer (1) using assessment models to diagnose schizophrenia, the assessment models are measured according to MCCB
Cognition index using polynary Logitic return building.
2. system according to claim 1, which is characterized in that the Central Analyzer (1) include preprocessing module (11),
Diagnostic module (12).
3. system according to claim 1 or 2, which is characterized in that the cognition index includes information processing rate, pays attention to
Alertness, working memory, vocabulary learning, reasoning and Resolving probiems, MCCB total score.
4. system according to claim 3, which is characterized in that the calculation formula of the assessment models is as follows:
Logit (P)=- 0.339+ (- 1.144) * information processing rate+(- 1.832) * pays attention to alertness+(- 0.232) * work
Memory+(- 0.440) * vocabulary learning+(- 0.099) * reasoning and Resolving probiems+(0.015) * MCCB total score.
5. system described in any one of -4 according to claim 1, which is characterized in that the system comprises doctor terminal equipment
(2), the doctor terminal equipment (2) connect with the Central Analyzer (1).
6. system according to claim 5, which is characterized in that the doctor terminal equipment (2) include login module (21),
Sound acquisition module (22) is manually entered information module (23), result display module (24).
7. system according to claim 5 or 6, which is characterized in that the doctor terminal equipment (2) includes desk-top calculating
Machine, laptop.
8. the system according to any one of claim 5-7, which is characterized in that the workflow of the system is as follows:
(1) cognition index described in claim 1 is measured using MCCB;
(2) the cognition index that step (1) is collected is transferred to Central Analyzer via doctor terminal equipment;
(3) Central Analyzer carries out schizoid diagnosis using assessment models as claimed in claim 2;
(4) if Logit (P) < 0.333, judge that the subject does not suffer from schizophrenia or judges the subject with essence
The risk of refreshing Split disease is small, and the subject is judged if Logit (P) >=0.333 with schizophrenia or judges that this is tested
Person is big with schizoid risk, and the above results are returned to doctor terminal equipment.
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Citations (4)
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US20040167380A1 (en) * | 2003-02-24 | 2004-08-26 | Ely Simon | Standardized medical cognitive assessment tool |
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CN106073706A (en) * | 2016-06-01 | 2016-11-09 | 中国科学院软件研究所 | A kind of customized information towards Mini-mental Status Examination and audio data analysis method and system |
CN106355010A (en) * | 2016-08-30 | 2017-01-25 | 深圳市臻络科技有限公司 | Self-service cognition evaluation apparatus and method |
-
2018
- 2018-10-26 CN CN201811260279.1A patent/CN109473170A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040167380A1 (en) * | 2003-02-24 | 2004-08-26 | Ely Simon | Standardized medical cognitive assessment tool |
CN104881591A (en) * | 2015-06-25 | 2015-09-02 | 贾建平 | Cognitive disorder data processing method and system |
CN106073706A (en) * | 2016-06-01 | 2016-11-09 | 中国科学院软件研究所 | A kind of customized information towards Mini-mental Status Examination and audio data analysis method and system |
CN106355010A (en) * | 2016-08-30 | 2017-01-25 | 深圳市臻络科技有限公司 | Self-service cognition evaluation apparatus and method |
Non-Patent Citations (1)
Title |
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肖垚南 等: "稳定期精神分裂症患者精神症状、认知功能", 《四川精神卫生》 * |
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Application publication date: 20190315 |