CN113679387B - Early warning system for children growth and development abnormality - Google Patents
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Abstract
The invention discloses an early warning system for children growth and development abnormality, and belongs to the technical field of medical application. An early warning system for children growth and development abnormality comprises a behavior judgment database, a language cognition database, a behavior data acquisition module and a language data acquisition module; the behavior data acquisition module comprises: the system comprises a track collection module, a data extraction module, a data screening module and a data integration module; the language data acquisition module comprises: the system comprises a language collection module, a language extraction module, a language screening module and a language integration module. According to the invention, the behavior data and the language data of the target child are analyzed through the hash function, and the behavior judgment database and the language cognition database in the prior art are compared, so that the probability of the target child suffering from the hyperkinetic syndrome and the autism is obtained. Through the big data integration to target children, and then early warning is carried out to children's growth, has improved early warning efficiency, is favorable to avoiding children to grow unusual.
Description
Technical Field
The invention relates to the technical field of medical application, in particular to an early warning system for children growth and development abnormality.
Background
As parents' scientific child-bearing knowledge increases, once a child is born, the parents observe one action, one line, of the child with a pair of alert eyes. If a child is found to be different from a peer, it is a pair to immediately find the doctor to do so. However, the development of children may be abnormal, and the development abnormality is a process of human interaction with the environment, which is not static, and if the development abnormality cannot be found and intervened early, the development abnormality will progress from the initial symptoms to the adverse direction. In view of this, we propose an early warning system for children's dysplasia.
Disclosure of Invention
1. Technical problem to be solved
The invention aims to provide an early warning system for children growth and development abnormality, which aims to solve the problems in the background technology.
2. Technical proposal
An early warning system for children growth and development abnormality comprises a behavior judgment database, a language cognition database, a behavior data acquisition module and a language data acquisition module;
the behavior data acquisition module comprises:
the track collection module is used for collecting behavior track data of the target child through the collection equipment;
the data extraction module is used for carrying out classified extraction on the activity places and the residence time of the track data;
the data screening module filters out data which are not in the activity place and within the stay time threshold value through a filter function;
the data integration module is used for outputting a judgment conclusion A according to the obtained data range in the corresponding behavior judgment database of the new data A;
the language data acquisition module comprises:
the language collection module is used for collecting language data of the target child through the recording equipment;
the language extraction module is used for extracting the language of the target child through the noise reduction equipment;
the language screening module filters out data which is not within a language duration threshold value through a filter function and records the number of languages;
and the language integration module is used for outputting a judgment conclusion B according to the obtained new data B corresponding to the data range in the language cognition database.
Preferably, the data integration module and the language integration module both perform data estimation through a hash table of hash table_probability.
A method for behavioral assessment of child growth dysplasia comprising the steps of:
s1, taking an activity place and a residence time as a TOKEN string, counting the occurrence times and word frequency of the extracted TOKEN string, establishing a hash table according to new data A, and storing the mapping from the TOKEN string ti to P (A|ti); p (A|ti) represents the probability that the child is suffering from hyperactivity when TOKEN string ti appears in the target child track information in event A;
s2, obtaining m TOKEN strings t1 and t2 … … tm according to the new data A, wherein the corresponding values in the hash table of hash table_probability are P1 and P2 … … Pm; p (A|t1, t2, t3...tm.) means that when a plurality of TOKEN strings t1, t2 … … tm are present simultaneously in the child track information, the target child is a probability of suffering from hyperactivity;
and S3, judging that the target child suffers from the hyperactivity by a compound probability formula when P (A|t1, t2, t3..) exceeds a preset threshold value.
A method for language estimation of child growth dysplasia comprising the steps of:
s1, taking language duration and language times as TOKEN strings, counting the occurrence times and word frequency of the extracted TOKEN strings, establishing a hash table according to new data B, and storing the mapping from TOKEN strings ti to P (A|ti); p (A|ti) represents the probability that the child is normal in language when TOKEN string ti appears in the track information of the target child in event B;
s2, obtaining n TOKEN strings t1 and t2 … … tn according to the new data B, wherein the corresponding values in the hash table of hash table_probability are P1 and P2 … … Pn; p (A|t1, t2, t3.....tn) indicates that multiple TOKEN strings t1, t1, are present simultaneously in the child language information at the time of t2 … … tn, the target child is the probability of normal language;
and S3, when the P (A|t1, t2, t3..) exceeds a preset threshold value, judging that the target children are normal in language, and obtaining the probability of suffering from autism through 1-P (A|t1, t2, t3..) according to the compound probability formula.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
according to the invention, the behavior data and the language data of the target child are analyzed through the hash function, and the behavior judgment database and the language cognition database in the prior art are compared, so that the probability of the target child suffering from the hyperkinetic syndrome and the autism is obtained. Through the big data integration to target children, and then early warning is carried out to children's growth, has improved early warning efficiency, is favorable to avoiding children to grow unusual.
Drawings
FIG. 1 is a schematic block diagram of a system of the present invention;
Detailed Description
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Referring to the drawings, the present invention provides a technical scheme:
an early warning system for children growth and development abnormality comprises a behavior judgment database, a language cognition database, a behavior data acquisition module and a language data acquisition module;
the behavior data acquisition module comprises:
the track collection module is used for collecting behavior track data of the target child through the collection equipment;
the data extraction module is used for carrying out classified extraction on the activity places and the residence time of the track data;
the data screening module filters out data which are not in the activity place and within the stay time threshold value through a filter function;
the data integration module is used for outputting a judgment conclusion A according to the obtained data range in the corresponding behavior judgment database of the new data A;
the language data acquisition module comprises:
the language collection module is used for collecting language data of the target child through the recording equipment;
the language extraction module is used for extracting the language of the target child through the noise reduction equipment;
the language screening module filters out data which is not within a language duration threshold value through a filter function and records the number of languages;
and the language integration module is used for outputting a judgment conclusion B according to the obtained new data B corresponding to the data range in the language cognition database.
According to the invention, the behavior data and the language data of the target child are analyzed through the hash function, and the behavior judgment database and the language cognition database in the prior art are compared, so that the probability of the target child suffering from the hyperkinetic syndrome and the autism is obtained. Through the big data integration to target children, and then early warning is carried out to children's growth, has improved early warning efficiency, is favorable to avoiding children to grow unusual.
It is noted that the data integration module and the language integration module both perform data estimation through the hash table of hash table_probability. The present invention provides for faster lookup by mapping the data value to a location in the table to access the record.
A method for behavioral assessment of child growth dysplasia comprising the steps of:
s1, taking an activity place and a residence time as a TOKEN string, counting the occurrence times and word frequency of the extracted TOKEN string, establishing a hash table according to new data A, and storing the mapping from the TOKEN string ti to P (A|ti); p (A|ti) represents the probability that the child is suffering from hyperactivity when TOKEN string ti appears in the target child track information in event A;
s2, obtaining m TOKEN strings t1 and t2 … … tm according to the new data A, wherein the corresponding values in the hash table of hash table_probability are P1 and P2 … … Pm; p (A|t1, t2, t3...tm.) means that when a plurality of TOKEN strings t1, t2 … … tm are present simultaneously in the child track information, the target child is a probability of suffering from hyperactivity;
and S3, judging that the target child suffers from the hyperactivity by a compound probability formula when P (A|t1, t2, t3..) exceeds a preset threshold value.
A method for language estimation of child growth dysplasia comprising the steps of:
s1, taking language duration and language times as TOKEN strings, counting the occurrence times and word frequency of the extracted TOKEN strings, establishing a hash table according to new data B, and storing the mapping from TOKEN strings ti to P (A|ti); p (A|ti) represents the probability that the child is normal in language when TOKEN string ti appears in the track information of the target child in event B;
s2, obtaining n TOKEN strings t1 and t2 … … tn according to the new data B, wherein the corresponding values in the hash table of hash table_probability are P1 and P2 … … Pn; p (A|t1, t2, t3.....tn) indicates that multiple TOKEN strings t1, t1, are present simultaneously in the child language information at the time of t2 … … tn, the target child is the probability of normal language;
and S3, when the P (A|t1, t2, t3..) exceeds a preset threshold value, judging that the target children are normal in language, and obtaining the probability of suffering from autism through 1-P (A|t1, t2, t3..) according to the compound probability formula.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (2)
1. An early warning system for children growth and development abnormality comprises a behavior judgment database and a language cognition database, and is characterized by further comprising a behavior data acquisition module and a language data acquisition module;
the behavior data acquisition module comprises:
the track collection module is used for collecting behavior track data of the target child through the collection equipment;
the data extraction module is used for carrying out classified extraction on the activity places and the residence time of the track data;
the data screening module filters out data which are not in the activity place and within the stay time threshold value through a filter function;
the data integration module is used for outputting a judgment conclusion A according to the obtained data range in the corresponding behavior judgment database of the new data A;
the language data acquisition module comprises:
the language collection module is used for collecting language data of the target child through the recording equipment;
the language extraction module is used for extracting the language of the target child through the noise reduction equipment;
the language screening module filters out data which is not within a language duration threshold value through a filter function and records the number of languages;
the language integration module is used for outputting a judgment conclusion B according to the obtained new data B corresponding to the data range in the language cognition database;
a method for estimating the behavior of a child in growth dysplasia comprising the steps of:
s1, taking an activity place and a residence time as a TOKEN string, counting the occurrence times and word frequency of the extracted TOKEN string, establishing a hash table according to new data A, and storing the mapping from the TOKEN string ti to P (A|ti); p (A|ti) represents the probability that the child is suffering from hyperactivity when TOKEN string ti appears in the target child track information in event A;
s2, obtaining m TOKEN strings t1 and t2 … … tm according to the new data A, wherein the corresponding values in the hash table of hash table_probability are P1 and P2 … … Pm; p (A|t1, t2, t3...tm.) means that when a plurality of TOKEN strings t1, t2 … … tm are present simultaneously in the child track information, the target child is a probability of suffering from hyperactivity;
s3, judging that the target child suffers from the hyperactivity by a compound probability formula when P (A|t1, t2, t3..) exceeds a preset threshold;
a method for language estimation of childhood growth dysplasia comprising the steps of:
s1, taking language duration and language times as TOKEN strings, counting the occurrence times and word frequency of the extracted TOKEN strings, establishing a hash table according to new data B, and storing the mapping from TOKEN strings ti to P (A|ti); p (A|ti) represents the probability that the child is normal in language when TOKEN string ti appears in the track information of the target child in event B;
s2, obtaining n TOKEN strings t1 and t2 … … tn according to the new data B, wherein the corresponding values in the hash table of hash table_probability are P1 and P2 … … Pn; p (A|t1, t2, t3.....tn) indicates that multiple TOKEN strings t1, t1, are present simultaneously in the child language information at the time of t2 … … tn, the target child is the probability of normal language;
and S3, when the P (A|t1, t2, t3..) exceeds a preset threshold value, judging that the target children are normal in language, and obtaining the probability of suffering from autism through 1-P (A|t1, t2, t3..) according to the compound probability formula.
2. The early warning system for child growth and development abnormality according to claim 1, wherein the data integration module and the language integration module perform data estimation through a hash table of hash table_probability.
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| KR20210094743A (en) * | 2020-01-22 | 2021-07-30 | 윤치연 | Method And Apparatus based big data for Early Detection of Developmental Disability and Delay |
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| KR20180088302A (en) * | 2017-01-26 | 2018-08-03 | (주)로보케어 | Method and system for screening of attention deficit hyperactivity disorder by robot |
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