CN109473170A - Schizoid system is diagnosed using cognition index - Google Patents

Schizoid system is diagnosed using cognition index Download PDF

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Publication number
CN109473170A
CN109473170A CN201811260279.1A CN201811260279A CN109473170A CN 109473170 A CN109473170 A CN 109473170A CN 201811260279 A CN201811260279 A CN 201811260279A CN 109473170 A CN109473170 A CN 109473170A
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China
Prior art keywords
terminal equipment
schizoid
doctor terminal
module
cognition
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CN201811260279.1A
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薄奇静
毛珍
田晴
王传跃
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Beijing Anding Hospital
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Beijing Anding Hospital
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

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

Schizoid system is diagnosed using cognition index
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.
CN201811260279.1A 2018-10-26 2018-10-26 Schizoid system is diagnosed using cognition index Pending CN109473170A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
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

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Application publication date: 20190315