CN110276929A - A kind of intelligent remote mentally disturbed's risk early warning system based on mobile intelligent terminal - Google Patents
A kind of intelligent remote mentally disturbed's risk early warning system based on mobile intelligent terminal Download PDFInfo
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- CN110276929A CN110276929A CN201910540924.3A CN201910540924A CN110276929A CN 110276929 A CN110276929 A CN 110276929A CN 201910540924 A CN201910540924 A CN 201910540924A CN 110276929 A CN110276929 A CN 110276929A
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- display terminal
- portable movable
- movable display
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
Abstract
The present invention provide it is a kind of may be implemented remote danger mentally disturbed assessment system include control database server, photographic device, speech-sound intelligent identification module, artificial touch screen recording module, physiological parameter acquisition module, wireless communication module, control database server, Portable movable display terminal；Portable movable display terminal respectively with, photographic device, speech-sound intelligent identification module, artificial touch screen recording module, the connection of physiological parameter acquisition module；Portable movable display terminal is connect by wireless communication module with control database server；Portable movable display terminal response user inputs the assessment of risks information for obtaining intelligent mentally disturbed and is sent to control database server；The present invention can provide innovation risk assessment mode to mental hygiene system, intelligently evaluate its Hazard rank.
Description
Technical field
This application involves psychiatric evaluation fields more particularly to a kind of intelligent remote spirit barrier based on mobile intelligent terminal
The person's of hindering risk early warning system.
Background technique
For the division of labor of clear each department, instructs each department to be classified severe mental disturbances person and manage, national health health committee member
" job specification (version in 2018) is treated in severe mental disturbances management " can have been put into effect, has been endangered wherein having formulated to severe mental disturbances person
The grade scale of dangerous assessment: " 0 grade: without any behavior met in 1-5 grades following；1 grade: oral threat is shouted, but is not had
Break behavior；2 grades: breaking behavior, limitation is stayed at home, and for property, can be prevented by advising；3 grades: behavior is obviously broken, regardless of
Occasion cannot receive to advise and stop for property；4 grades: lasting breaks behavior, regardless of occasion, for property or people, no
It can receive to advise and stop, including feel sorrow for oneself, commit suiside；5 grades: armed any act of violence for people, or the row such as set on fire, explode
For, no matter at home or public arena." according to this file, the Hazard rank of severe mental disturbances person is that relevant departments adopt
With the deciding factor of which kind of management and control measures, grade difference is directly affected with the anti-frequency, intervening measure, crisis management, responsibility portion
Door (3 grades or more of mentally disturbed is public security organ's tubulation object) etc., divides so that each department realizes severe mental disturbances person
Grade management.In practice, needs tissue professional spirit section doctor to go down to the grass-roots units and carry out large-scale risk assessment, but currently due to me
State's mental hygiene shortage of resources, specialist is gone down to the grass-roots units, and difficult, assessment cycle is too long, and single evaluation number is excessive, and spiritual
Symptom has sudden, changeability, and evaluation interval overlong time cannot reflect patient's real hazard.Existing risk assessment
Mode is not able to satisfy the control demand to risk mentally disturbed, it is therefore necessary to improve.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of intelligent remote mentally disturbed danger based on mobile intelligent terminal
Dangerous early warning system, including control database server, photographic device, speech-sound intelligent identification module, data acquire intelligent movable
Terminal, wireless communication module, Portable movable display terminal；
Portable movable display terminal is whole with photographic device, speech-sound intelligent identification module, data acquisition intelligent movable respectively
End connection；
The data acquisition mobile intelligent terminal is the smart phone that heartbeat sensor and iris sensor is arranged；
Portable movable display terminal is connect by wireless communication module with control database server；
Portable movable display terminal response user inputs the assessment of risks information for obtaining intelligent mentally disturbed and sends
To control database server；
Assessment of risks information includes oral threat information, and information is broken in interior, and information is broken or can not dissuaded from regardless of occasion,
For people's information, armed violence information；
Portable movable display terminal generates mentally disturbed's Hazard rank according to assessment of risks information.
Further, mentally disturbed's risk assessment is divided into 6 grades, and the meaning of each grade is,
0 grade: without any behavior met in 1-5 grades following；
1 grade: oral threat shouts, but does not break behavior；
2 grades: breaking behavior, limitation is stayed at home, and for property, can be prevented by advising；
3 grades: obviously breaking behavior, regardless of occasion, for property, cannot receive to advise and stop；
4 grades: lasting breaks behavior, regardless of occasion, for property or people, cannot receive to advise and stop, including self inflicted injury,
Suicide；
5 grades: armed any act of violence for people, or the behaviors such as set on fire, explode, no matter at home or public field
It closes.
Further, the Portable movable display terminal obtains mentally disturbed's Hazard rank using following steps
Step 1: according to different brackets, extracting feature and be respectively as follows: oral threat, and interior is broken, and breaks regardless of occasion or nothing
Method is dissuaded from or can not be dissuaded from, and for people, armed violence (including set on fire, explode), each feature is scored by 0 or 1, meets feature note
1 point, no this feature remembers 0 point.Then have classification as follows:
Selection obvious characteristic is control group, and graded features are as follows:
Respectively with x0,x1,x2,x3,x4,x5LV0, LV1, LV2, LV3, LV4, LV5 are represented, comparison matrix is established are as follows:
The feature each column and x of target object0-x5It is respectively compared the matrix that rear value obtains target sequence Y:
Step 2: normalization:
X (1)=[Y X] is enabled,
Enable X (1)=[Y X]=[X0X]=[X0 X1 X2 X3 X4 X5 X6],
It is normalized line by line, formula is as follows:
It is calculated one by one by above-mentioned formula
Each new x after normalizing outijNew matrix X (2) is formed,
Step 3: matrix X (2) difference sequence Δ, Δ are asked using following formulamaxAnd Δmin
Enable Δij=| xi0-xij|, i=0,1 ..., 4；J=1,2 ..., 6,
Step 4: grey relational grade coefficient matrix ξ is asked using following formula
β is empirical coefficient, is taken
0.5；Step 5: sequence X and the grey relational grade matrix of target sequence Y are compared in calculating,
Following formula is used to compare the grey relational grade matrix of sequence X and target sequence Y for R, r0jFor Y and x0-x5Phase
Pass degree,
Step 6: grade is chosen
After finding out j value, j-1 is the Hazard rank (as shown in the table) of target column.
Mentally disturbed's risk assessment grade
The beneficial effects of the invention are as follows
1. the present invention realizes human-computer interaction, the speech-sound intelligent identification module of artificial intelligence by artificial intelligence interactive system
Intelligent sound identification and semantic understanding can be achieved, particular keywords and complicated sentence can be interpreted, there is voice interface essence
Standard, response quickly, feature easy to use.
2. wireless data channel of the present invention is ZigBee module, which is CC2530 integrated circuit.Data acquisition
Mobile intelligent terminal and photographic device detection data can automatic storage and uploads.Mobile display terminal is that IPAD etc. is portable
Tablet computer, alarm module can be flash alarm.
Intelligent flashing warner can be ATC51 series monolithic and constitute small-sized Microcomputer Detecting System, and input circuit uses
Photoisolator, so that CPU and external circuit realization are completely isolated.Input is normally opened passive input mode again, which adopts
Passive contact mode is exported with interior buzzer sound equipment and panel instruction flashing and rear terminal, realizes tri-state alarm.
The single-chip microcontroller of intelligent flashing warner is connect by bluetooth with portable mobile termianl.
3. follow-up personnel visit when visiting patient, passes through speech-sound intelligent identification module and the input of artificial touch screen recording module is suffered from
Person's state, system use assessment algorithm, and control database server realizes 0-5 grades of classifications to patient risk's property, if intelligence grading 3
Grade or more it is capable of automatic alarm, and video be connected to Psycs' remote guide.
4. Psycs can be by video call system direct access inquiry guardian and observation mentally disturbed's situation, and can
Control data is consulted, the ordinary circumstance of patient is understood, and transfer live physiological parameter, instructs its risk assessment and intervention stratege
Formulation.
5. voice input, artificial touch screen typing, photographic device, each module of physiological parameter acquisition data information according to assessment
As a result filed, if assessment result and consistent in the past, Portable movable display terminal display Current therapeutic rehabilitation scheme；If
Assessment result risk in the past it is inconsistent, then Hazard rank automatically updates, and adjusts its therapeutic scheme, and in portable shifting
Dynamic display terminal prompt, all data are uploaded to data consolidation server by network, and Hazard rank is periodically changed name
Single upload is to managing database server.
Detailed description of the invention
Fig. 1 is one embodiment of the invention connection relationship diagram.
Specific embodiment
The present invention as shown in Figure 1 provides a kind of system that remote danger mentally disturbed assessment may be implemented
Database server is managed, photographic device, speech-sound intelligent identification module, artificial touch screen recording module, data acquire intelligent movable
Terminal, wireless communication module, control database server, Portable movable display terminal；
In an embodiment of the present invention, speech-sound intelligent identification module is the intelligent sound with microphone and voice recognition chip
Case, artificial touch screen recording module are touch display screen, and it is blood pressure sensor that data, which acquire mobile intelligent terminal,.It is real in the present invention one
Apply the small love touch screen speaker of millet that intelligent sound box in example is millet company.
Portable movable display terminal respectively with, photographic device, speech-sound intelligent identification module, artificial touch screen recording module,
Data acquire mobile intelligent terminal connection；
The data acquisition mobile intelligent terminal is the smart phone that heartbeat sensor and iris sensor is arranged；
In an embodiment of the present invention using the Galaxy S9 of Samsung configuration iris sensor and heartbeat sensor；
Portable movable display terminal by data acquire mobile intelligent terminal obtain personnel to be assessed heartbeat message and
Iris information.
Portable movable display terminal is connect by wireless communication module with control database server；
Portable movable display terminal response user inputs the assessment of risks information for obtaining intelligent mentally disturbed and sends
To control database server；
Assessment of risks information includes oral threat information, and information is broken in interior, and information is broken or cannot dissuaded from regardless of occasion,
For people's information, armed violence information.Portable movable display terminal generates mentally disturbed's danger according to assessment of risks information
Property grade.
The present invention portable can manage follow-up personnel for mentally disturbeds such as the anti-personnel of essence, community grid person, local police station people's police
It uses, makes risk assessment normalization, mobilism, and control database server can be connected, moreover it is possible to direct line professional spirit
Section doctor carries out assessment guidance.
The algorithm of evaluation process of the present invention is described in detail below.
Step 1: problem is classified
It is provided according to disease control office, national health health committee " job specification (version in 2018) is treated in severe mental disturbances management ",
Mentally disturbed's risk assessment is divided into 6 grades, is respectively as follows:
0 grade: without any behavior met in 1-5 grades following；
1 grade: oral threat shouts, but does not break behavior；
2 grades: breaking behavior, limitation is stayed at home, and for property, can be prevented by advising；
3 grades: obviously breaking behavior, regardless of occasion, for property, cannot receive to advise and stop；
4 grades: lasting breaks behavior, regardless of occasion, for property or people, cannot receive to advise and stop, including self inflicted injury,
Suicide；
5 grades: armed any act of violence for people, or the behaviors such as set on fire, explode, no matter at home or public field
It closes.
Accordingly, it according to different brackets, extracts feature and is respectively as follows: oral threat, interior is broken, and is broken regardless of occasion or can not
It dissuades from, for people, armed violence (including set on fire, explode), each feature is scored by 0 or 1, is met feature and is remembered 1 point, without this feature
0 point of note.Then have classification as follows:
Selection obvious characteristic is control group, and graded features are as follows:
Respectively with x0,x1,x2,x3,x4,x5LV0, LV1, LV2, LV3, LV4, LV5 are represented, comparison matrix is established are as follows:
The feature each column and x of target object0-x5It is respectively compared the matrix that rear value obtains target sequence Y:
Step 2: normalization:
X (1)=[Y X] is enabled,
It enables
X (1)=[Y X]=[X0X]=[X0 X1 X2 X3 X4 X5 X6],
It is normalized line by line, formula is as follows:
One by one by above-mentioned formula
Calculate each new x after normalizingijNew matrix X (2) is formed,
Step 3: matrix X (2) difference sequence Δ, Δ are asked using following formulamaxAnd Δmin
Enable Δij=| xi0-xij|, i=0,1 ..., 4；J=1,2 ..., 6,
Step 4: grey relational grade coefficient matrix ξ is asked using following formula
β is empirical coefficient, is taken
0.5；Step 5: sequence X and the grey relational grade matrix of target sequence Y are compared in calculating,
Following formula is used to compare the grey relational grade matrix of sequence X and target sequence Y for R, r0jFor Y and x0-x5Phase
Pass degree,
Step 6: grade is chosen
After finding out j value, corresponding grade is exactly the Hazard rank of target column.
Mentally disturbed's risk assessment grade
The present invention have the function of advantage following prominent and: the present invention can provide innovation risk to mental hygiene system and comment
Estimate mode, the basic physiologies parameter value such as intelligently evaluate its Hazard rank, and blood pressure, pulse can be acquired, be easy to understand patient from
Body health status and whether be in a bad mood excitement phenomena such as, alleviate the burden that guardian send patient to go to hospital.It can long-range connecting line tube
Database is controlled, the follow-up efficiency and information that each department control follow-up personnel can be improved feed back order of accuarcy, and long-distance video line
Professional spirit section doctor, the control that the professional and mentally disturbed of follow-up can be improved is scientific, and reduces spiritual medical treatment money
The consumption in source.
Claims (3)
1. a kind of intelligent remote mentally disturbed's risk early warning system based on mobile intelligent terminal, including control database clothes
Business device, photographic device, speech-sound intelligent identification module, data acquisition mobile intelligent terminal, wireless communication module, Portable movable are aobvious
Show terminal；
Portable movable display terminal connects with photographic device, speech-sound intelligent identification module, data acquisition mobile intelligent terminal respectively
It connects；
The data acquisition mobile intelligent terminal is the smart phone that heartbeat sensor and iris sensor is arranged；
Portable movable display terminal is connect by wireless communication module with control database server；
Portable movable display terminal response user inputs the assessment of risks information for obtaining intelligent mentally disturbed and is sent to pipe
Control database server；
Assessment of risks information includes oral threat information, and information is broken in interior, and information is broken or can not dissuaded from regardless of occasion, for
People's information, armed violence information；
Portable movable display terminal generates mentally disturbed's Hazard rank according to assessment of risks information.
2. a kind of intelligent remote mentally disturbed's risk early warning system based on mobile intelligent terminal as described in claim 1
System, which is characterized in that mentally disturbed's risk assessment is divided into 6 grades, and the meaning of each grade is,
0 grade: without any behavior met in 1-5 grades following；
1 grade: oral threat shouts, but does not break behavior；
2 grades: breaking behavior, limitation is stayed at home, and for property, can be prevented by advising；
3 grades: obviously breaking behavior, regardless of occasion, for property, cannot receive to advise and stop；
4 grades: lasting breaks behavior, regardless of occasion, for property or people, cannot receive to advise and stop, including feel sorrow for oneself, certainly
It kills；
5 grades: armed any act of violence for people, or the behaviors such as set on fire, explode, no matter at home or public arena.
3. a kind of intelligent remote mentally disturbed's risk early warning system based on mobile intelligent terminal as described in claim 1
System, which is characterized in that
The Portable movable display terminal obtains mentally disturbed's Hazard rank using following steps
Step1: it according to different brackets, extracts feature and is respectively as follows: oral threat, interior is broken, and is broken or can not be advised regardless of occasion
Only, for people, armed violence, each feature is scored by 0 or 1, is met feature and is remembered 1 point, no this feature remembers 0 point, then has classification such as
Under:
Selection obvious characteristic is control group, and graded features are as follows:
Respectively with x0,x1,x2,x3,x4,x5LV0, LV1, LV2, LV3, LV4, LV5 are represented, comparison matrix is established are as follows:
The feature each column and x of target object0-x5It is respectively compared the matrix that rear value obtains target sequence Y:
Step2: normalization:
X (1)=[Y X] is enabled, then is had:
Enable X (1)=[Y X]=[X0X]=[X0 X1 X2 X3 X4 X5 X6],
Then have:
It is normalized line by line, formula is as follows:
Normalizing is calculated one by one by above-mentioned formula
Each new x after changeijNew matrix X (2) is formed,
Step3: matrix X (2) difference sequence Δ, Δ are asked using following formulamaxAnd Δmin
Enable Δij=| xi0-xij|, i=0,1 ..., 4；J=1,2 ..., 6,
Step4: grey relational grade coefficient matrix ξ is asked using following formula
β is empirical coefficient, takes 0.5；
Step5: sequence X and the grey relational grade matrix of target sequence Y are compared in calculating,
Following formula is used to compare the grey relational grade matrix of sequence X and target sequence Y for R, r0jFor Y and x0-x5Related journey
Degree,
Step6: grade is chosen
After finding out j value, j-1 is the Hazard rank of target column.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111369763A (en) * | 2020-04-09 | 2020-07-03 | 西南政法大学 | Attack prevention system for mental disorder patient |
| CN111466928A (en) * | 2020-04-09 | 2020-07-31 | 西南政法大学 | Mental disorder patient carry-on early warning system based on risk level judgment |
| CN111481215A (en) * | 2020-04-09 | 2020-08-04 | 西南政法大学 | Mental disorder patient remote early warning system based on risk level judgment |
| CN111481214A (en) * | 2020-04-09 | 2020-08-04 | 西南政法大学 | Mental disorder patient risk level judgment method |
| CN111481182A (en) * | 2020-04-09 | 2020-08-04 | 西南政法大学 | System for judging risk level of mental disorder patient |
| CN112515673A (en) * | 2020-11-30 | 2021-03-19 | 重庆工程职业技术学院 | Psychological crisis intervention auxiliary system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104796485A (en) * | 2015-04-30 | 2015-07-22 | 深圳市全球锁安防系统工程有限公司 | Cloud good health service platform of elderly people and big data processing method |
| CN204731823U (en) * | 2015-06-03 | 2015-10-28 | 那峙雄 | A kind of system of behavioral guidance |
| US20160140320A1 (en) * | 2012-08-16 | 2016-05-19 | Ginger.io, Inc. | Method for providing therapy to an individual |
| CN109394203A (en) * | 2017-08-18 | 2019-03-01 | 广州市惠爱医院 | The monitoring of phrenoblabia convalescence mood and interference method |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| CN109841282A (en) * | 2018-12-10 | 2019-06-04 | 广东省中医院 | A kind of Chinese medicine health control cloud system and its building method based on cloud computing |
| CN109887611A (en) * | 2019-02-13 | 2019-06-14 | 北京大学第三医院（北京大学第三临床医学院） | A kind of medical management system and mobile terminal |
-
2019
- 2019-06-21 CN CN201910540924.3A patent/CN110276929A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160140320A1 (en) * | 2012-08-16 | 2016-05-19 | Ginger.io, Inc. | Method for providing therapy to an individual |
| CN104796485A (en) * | 2015-04-30 | 2015-07-22 | 深圳市全球锁安防系统工程有限公司 | Cloud good health service platform of elderly people and big data processing method |
| CN204731823U (en) * | 2015-06-03 | 2015-10-28 | 那峙雄 | A kind of system of behavioral guidance |
| CN109394203A (en) * | 2017-08-18 | 2019-03-01 | 广州市惠爱医院 | The monitoring of phrenoblabia convalescence mood and interference method |
| CN109841282A (en) * | 2018-12-10 | 2019-06-04 | 广东省中医院 | A kind of Chinese medicine health control cloud system and its building method based on cloud computing |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| CN109887611A (en) * | 2019-02-13 | 2019-06-14 | 北京大学第三医院（北京大学第三临床医学院） | A kind of medical management system and mobile terminal |
Non-Patent Citations (1)
| Title |
|---|
| 杨林泉: "《系统工程方法与应用》", 31 December 2018 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111369763A (en) * | 2020-04-09 | 2020-07-03 | 西南政法大学 | Attack prevention system for mental disorder patient |
| CN111466928A (en) * | 2020-04-09 | 2020-07-31 | 西南政法大学 | Mental disorder patient carry-on early warning system based on risk level judgment |
| CN111481215A (en) * | 2020-04-09 | 2020-08-04 | 西南政法大学 | Mental disorder patient remote early warning system based on risk level judgment |
| CN111481214A (en) * | 2020-04-09 | 2020-08-04 | 西南政法大学 | Mental disorder patient risk level judgment method |
| CN111481182A (en) * | 2020-04-09 | 2020-08-04 | 西南政法大学 | System for judging risk level of mental disorder patient |
| CN111481214B (en) * | 2020-04-09 | 2023-03-24 | 西南政法大学 | Mental disorder patient risk level judgment method |
| CN111466928B (en) * | 2020-04-09 | 2023-03-24 | 西南政法大学 | Mental disorder patient carry-on early warning system based on risk level judgment |
| CN111481182B (en) * | 2020-04-09 | 2023-05-09 | 西南政法大学 | Mental disorder patient risk level judging system |
| CN111481215B (en) * | 2020-04-09 | 2023-05-23 | 西南政法大学 | Mental disorder patient remote early warning system based on risk level judgment |
| CN112515673A (en) * | 2020-11-30 | 2021-03-19 | 重庆工程职业技术学院 | Psychological crisis intervention auxiliary system |
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Application publication date: 20190924 |