CN105159965A - Grid technology based newborn defect early-warning method and system - Google Patents
Grid technology based newborn defect early-warning method and system Download PDFInfo
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Abstract
The present invention relates to a grid technology based newborn birth defect early-warning method. The method comprises the following steps of: step 1, performing grid division on a to-be-early-warned region according to latitude and longitude; step 2, removing a checkered region of which the population distribution number is smaller than a preset value; step 3, corresponding an address of a newborn with a birth defect in the checkered region to corresponding latitude and longitude points; step 4, calculating morbidity rate of the birth defect of the newborn in the checkered region; step 5, setting a morbidity rate threshold, and marking the checkered region of which the birth defect of the newborn is higher than the morbidity rate threshold; and step 6, associating the marked checkered region of which the population distribution number is larger than the preset value with a local environment factor, and implementing early warning of the birth defect of the newborn. According to the grid technology based newborn birth defect early warning method provided by the present invention, a grid technology can provide a powerful tool for disease cause researches of the birth defect, so that the method has a broad application prospect.
Description
Technical field
The present invention relates to a kind of neonate's defect method for early warning and system, be specifically related to a kind of neonate's defect method for early warning and system of technology Network Based.
Background technology
Geographic Information System (geographicinformationsystem, GIS) be for collecting earth's surface relevant information data, checking, process, integrated and analyze computer system.Along with developing rapidly of GIS, GIS is increasing in the effect of field of public health, is the useful instrument of of public health practitioner.At present, the trial of monitoring a certain disease risk factor by space distribution of a lot of different brackets is had in the world.GIS, based on geographical space, adopts geographical model analysis method, thus provides multiple space and dynamic geography information.
Inborn defect also claims congenital anomaly, refers to the exception of the aspect such as form, structure, function, metabolism, spirit, behavior that embryonic development disorder causes, comprises congenital malformation, dysnoesia, metabolic disease etc.According to the national inborn defect testing result that health ministry is issued, the total incidence of national inborn defect is 1.1%.China about has more than 20 ~ 30 ten thousand macroscopic Congenital Malformed Children births every year.Inborn defect causes white elephant to family and society, finds inborn defect and which factor, carries out preventive measure in advance, will contain that it occurs to a great extent.This is healthy to the birth improving baby, improves the health of the people and has very important significance.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of neonate's defect method for early warning and system of technology Network Based, can for inborn defect etiological study strong instrument is provided, be with a wide range of applications.
The technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of Newborn Birth-defects method for early warning based on gridding technique, comprises the following steps,
Step one, by treating that the map of prewarning area carries out stress and strain model according to warp, latitude, is divided into multiple grid spaces;
Step 2, adds up the population distribution quantity of each described grid spaces, gets rid of the grid spaces of population distribution quantity lower than preset value;
Step 3, carries out corresponding higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point by population distribution amount;
Step 4, statistics population distribution amount to be born sum and have neonate's sum of inborn defect higher than all neonates in the grid spaces of preset value, and i-th population abundance is denoted as P higher than the sum of being born of the neonate in the grid spaces of preset value
i, i-th population abundance is designated as p higher than the sum of being born of the neonate with inborn defect in the grid spaces of preset value
i, calculating population distribution amount higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value is R=p
i/ P
i;
Step 5, setting morbidity rate threshold value, single population distribution amount is contrasted higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value and morbidity rate threshold value, and the population distribution amount of Newborn Birth-defects higher than morbidity rate threshold value is marked higher than the grid spaces of preset value;
Step 6, is associated the grid spaces of labeled population distribution amount higher than preset value with local environment factor, realizes Newborn Birth-defects early warning.
On the basis of technique scheme, the present invention can also do following improvement.
Further, described in step 3, it is to have the neonatal address of inborn defect that population distribution amount carries out corresponding method higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point, generates corresponding warp, latitude point in conjunction with Baidu map API.
Further, described morbidity rate threshold value is the Newborn Birth-defects morbidity rate in the whole nation.
Further, will treat that the map of prewarning area carries out stress and strain model, the number of carrying out the grid spaces of stress and strain model is with the size treating prewarning area and treat that the precision of early warning is associated.
Further, in step 5, to Newborn Birth-defects higher than morbidity rate threshold value population distribution amount higher than preset value grid spaces adopt red green two kinds of colors mark, red expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is greater than ill threshold value, and green expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is less than or equal to ill threshold value.
The invention has the beneficial effects as follows: the present invention is a kind of based in the Newborn Birth-defects method for early warning of gridding technique, gridding technique can for inborn defect etiological study strong instrument is provided, be with a wide range of applications.It is different with traditional descriptive research.Although traditional descriptive research be positioned the space of disease, crowd, place three between distribution.But its spatial dimension is large especially, not concrete and refinement.Gridding technique is much little region a large Region dividing, can carry out the research of the cause of disease to the minimum scope in space.Especially along with the development of satellite remote sensing technology, we can obtain more accurate ground water temperature, meteorology, vegetation, soil, factory and enterprise, such as chemical plant, garbage burning factory etc.Can environmental factor being grasped by these information, providing strong support for finding the factor relevant to inborn defect.
Based on above-mentioned a kind of Newborn Birth-defects method for early warning based on gridding technique, the present invention also provides a kind of Newborn Birth-defects early warning system based on gridding technique.
Based on neonate's defect early warning system of gridding technique, comprise stress and strain model module, population limit value module, population respective modules, inborn defect morbidity rate computing module, labeling module and environmentally hazardous module,
Described stress and strain model module is used for, by treating that the map of prewarning area carries out stress and strain model according to warp, latitude, being divided into multiple grid spaces;
Described limiting module, for adding up the population distribution quantity of each described grid spaces, is got rid of the grid spaces of population distribution quantity lower than preset value;
Described population respective modules is used for population distribution amount to carry out corresponding higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point, makes the neonate with inborn defect corresponding with grid spaces;
Described inborn defect morbidity rate computing module to be born sum and have neonate's sum of inborn defect higher than all neonates in the grid spaces of preset value for adding up population distribution amount, and i-th population abundance is denoted as P higher than the sum of being born of the neonate in the grid spaces of preset value
i, i-th population abundance is designated as p higher than the sum of being born of the neonate with inborn defect in the grid spaces of preset value
i, calculating population distribution amount higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value is R=p
i/ P
i;
Described labeling module is for setting morbidity rate threshold value, and single population distribution amount is contrasted higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value and morbidity rate threshold value, and the population distribution amount of Newborn Birth-defects higher than morbidity rate threshold value is marked higher than the grid spaces of preset value;
Described environmentally hazardous module is used for the grid spaces of labeled population distribution amount higher than preset value to be associated with local environment factor, realizes Newborn Birth-defects early warning.
On the basis of technique scheme, the present invention can also do following improvement.
Further, population distribution amount is carried out corresponding method higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point is, to the neonatal address of inborn defect be had, generate corresponding warp, latitude point in conjunction with Baidu map API.
Further, described morbidity rate threshold value is the Newborn Birth-defects morbidity rate in the whole nation.
Further, will treat that the map of prewarning area carries out stress and strain model, the number of carrying out the grid spaces of stress and strain model is with the size treating prewarning area and treat that the precision of early warning is associated.
Further, to Newborn Birth-defects higher than morbidity rate threshold value population distribution amount higher than preset value grid spaces adopt red green two kinds of colors mark, red expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is greater than ill threshold value, and green expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is less than or equal to ill threshold value.
The invention has the beneficial effects as follows: Shenzhen is divided into some grids by longitude and latitude by a kind of neonate's defect early warning system based on gridding technique of the present invention; add up the Newborn Birth-defects morbidity rate of each grid and compare with national level, thus finding out the high-risk environment factor in grid.The application of gridding technique makes the impact of attenuating environment factor on inborn defect become possibility, in the level of practical operation, can improve the understanding to Spatial distribution of disease, find out the hazards of hiding at one.Network analysis is lattice by spatial division, and add up the morbidity rate in grid, thus the height of morbidity rate and geographic position, environment are combined, in the early warning of Newborn Birth-defects with have very large application prospect in intervening.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of Newborn Birth-defects method for early warning based on gridding technique of the present invention;
Fig. 2 is the structured flowchart of a kind of Newborn Birth-defects early warning system based on gridding technique of the present invention.
Embodiment
Be described principle of the present invention and feature below in conjunction with accompanying drawing, example, only for explaining the present invention, is not intended to limit scope of the present invention.
As shown in Figure 1, a kind of Newborn Birth-defects method for early warning based on gridding technique, comprises the following steps,
S1, by treating that the map of prewarning area carries out stress and strain model according to warp, latitude, is divided into multiple grid spaces;
S2, adds up the population distribution quantity of each described grid spaces, gets rid of the grid spaces of population distribution quantity lower than preset value; It is to have the neonatal address of inborn defect that population distribution amount carries out corresponding method higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point, generates corresponding warp, latitude point in conjunction with Baidu map API;
S3, carries out corresponding higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point by population distribution amount, makes the neonate with inborn defect corresponding with grid spaces;
S4, statistics population distribution amount to be born sum and have neonate's sum of inborn defect higher than all neonates in the grid spaces of preset value, and i-th population abundance is denoted as P higher than the sum of being born of the neonate in the grid spaces of preset value
i, i-th population abundance is designated as p higher than the sum of being born of the neonate with inborn defect in the grid spaces of preset value
i, calculating population distribution amount higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value is R=p
i/ P
i;
S5, setting morbidity rate threshold value, single population distribution amount is contrasted higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value and morbidity rate threshold value, and the population distribution amount of Newborn Birth-defects higher than morbidity rate threshold value is marked higher than the grid spaces of preset value; Described morbidity rate threshold value is the Newborn Birth-defects morbidity rate in the whole nation;
S6, is associated the grid spaces of labeled population distribution amount higher than preset value with local environment factor, realizes Newborn Birth-defects early warning.
In the present embodiment, for Shenzhen area, Shenzhen is positioned on the south the tropic of Cancer, east longitude 113 ° 46 ' to 114 ° 37 ', north latitude 22 ° 27 ' to 22 ° 52 ', the most the east in land is positioned at east, Nan'ao street, the southeast and rushes Hai Chaijiao, westernmost end is positioned at democracy village, Sha Jing street, the northwestward, be arranged in the Neilingding Island of the mouth of the Zhujiang River, southwestern face southernmost, be positioned at Luotian community, Song Gang street, the northwestward northernmost, totally 1996.85 sq-kms.2014, Shenzhen permanent resident population had 1077.89 ten thousand.Actual number of partitions (laterally, longitudinally) depends on the size of institute's survey region and wants the precision of research.Here Shenzhen can be divided 20*10 community, the area of each like this grid is close to 10km
2. the longitude and latitude that each grid can be corresponding certain.Collected the information of all Newborn Birth-defects in Shenzhen by health organ of Shenzhen and hospital, have the address of father and mother, defect type etc.By the address of father and mother, in conjunction with Baidu map API, find corresponding longitude and latitude can to each address, like this, all inborn defect infants are all points having longitude and latitude.Because each grid is also associated with longitude and latitude, so Newborn Birth-defects patient and grid can be mapped.Distribution due to population is not equally distributed, and the density of population in urban district is large, and the density of population in suburb is little.If universal formulation population, can cause the underpopulation of the grid had, sample size is very few, does not have practical significance, so must ensure certain sample size to calculating morbidity rate.2014, the permanent resident population of Shenzhen was 1077.89 ten thousand people, and its density of population is 5398 (people/km
2), the area of each grid is 10km
2. can be calculated, the number of each grid is 53980 people, if the demographic data of some grids is much smaller than 53980 people, does not then participate in the calculating of morbidity rate.Judge that whether the morbidity rate in single region is higher than this limit value, and represent (red expression is greater than, and green expression is less than or equal to) by color, the Newborn Birth-defects morbidity rate in the morbidity rate threshold value use whole nation.By the color of grid, select red grid, can know that the Newborn Birth-defects rate in these regions is higher than whole city's integral level.Whether actual geographic situation, industry condition, education etc. in conjunction with red grid are analyzed relevant with Newborn Birth-defects, for follow-up analytic research provides thinking and direction.With Shenzhen's data instance, respectively with multiple inborn defect and congenital heart disease for Basis, by setting above-mentioned parameter, zonule relatively occurred frequently can be obtained.
Inborn defect and deformity more and more become the major issue affecting population quality.Specifying the occurrence cause of inborn defect, is the precondition of intervening and preventing inborn defect.But very imperfect to the research of inborn defect at present, its cause of disease is also indefinite.What gain public acceptance at present causes two of inborn defect large factors to be inherent cause and environmental factor, and the former accounts for 25%, and the latter accounts for 10%.But element is the interactive result of environmental factor and inherent cause mostly, and this ratio is up to 65%.The environmental factor relevant to inborn defect mainly comprises following three major types: 1. physical factor, as noise, and X ray ultrasound wave, mobile phone radiation etc.2. chemical factor, as lead, mercury, tobacco, alcohol etc.3. biodyne, herpes simplex virus etc.So clear and definite environmental factor is on the impact of inborn defect, and take corresponding preventive measure, the generation of class origin defect will be reduced to a great extent.Although geographic grid technology as a kind of new scientific research methods and means evolution not long, but it obtains application widely at field of public health, gridding technique with its powerful spatial data management and analysis ability, for epidemiological study and control decision provide new means.By geographic grid Technology application in the CORD PARALYSIS of inborn defect, can specify which environmental factor is bring out the high risk factor of inborn defect.
The present invention is a kind of based in the Newborn Birth-defects method for early warning of gridding technique, gridding technique can for inborn defect etiological study strong instrument is provided, be with a wide range of applications.It is different with traditional descriptive research.Although traditional descriptive research be positioned the space of disease, crowd, place three between distribution.But its spatial dimension is large especially, not concrete and refinement.Gridding technique is much little region a large Region dividing, can carry out the research of the cause of disease to the minimum scope in space.Especially along with the development of satellite remote sensing technology, we can obtain more accurate ground water temperature, meteorology, vegetation, soil, factory and enterprise, such as chemical plant, garbage burning factory etc.Can environmental factor being grasped by these information, providing strong support for finding the factor relevant to inborn defect.
Based on above-mentioned a kind of Newborn Birth-defects method for early warning based on gridding technique, the present invention also provides a kind of Newborn Birth-defects early warning system based on gridding technique.
As shown in Figure 2, a kind of neonate's defect early warning system based on gridding technique, comprises stress and strain model module, population limit value module, population respective modules, inborn defect morbidity rate computing module, labeling module and environmentally hazardous module,
Described stress and strain model module is used for, by treating that the map of prewarning area carries out stress and strain model according to warp, latitude, being divided into multiple grid spaces;
Described limiting module, for adding up the population distribution quantity of each described grid spaces, is got rid of the grid spaces of population distribution quantity lower than preset value;
Described population respective modules is used for population distribution amount to carry out corresponding higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point, makes the neonate with inborn defect corresponding with grid spaces;
Described inborn defect morbidity rate computing module to be born sum and have neonate's sum of inborn defect higher than all neonates in the grid spaces of preset value for adding up population distribution amount, and i-th population abundance is denoted as P higher than the sum of being born of the neonate in the grid spaces of preset value
i, i-th population abundance is designated as p higher than the sum of being born of the neonate with inborn defect in the grid spaces of preset value
i, calculating population distribution amount higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value is R=p
i/ P
i;
Described labeling module is for setting morbidity rate threshold value, and single population distribution amount is contrasted higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value and morbidity rate threshold value, and the population distribution amount of Newborn Birth-defects higher than morbidity rate threshold value is marked higher than the grid spaces of preset value;
Described environmentally hazardous module is used for the grid spaces of labeled population distribution amount higher than preset value to be associated with local environment factor, realizes Newborn Birth-defects early warning
Shenzhen is divided into some grids by longitude and latitude by a kind of neonate's defect early warning system based on gridding technique of the present invention, adds up the Newborn Birth-defects morbidity rate of each grid and compares with national level, thus finding out the high-risk environment factor in grid.The application of gridding technique makes the impact of attenuating environment factor on inborn defect become possibility, in the level of practical operation, can improve the understanding to Spatial distribution of disease, find out the hazards of hiding at one.Network analysis is lattice by spatial division, and add up the morbidity rate in grid, thus the height of morbidity rate and geographic position, environment are combined, in the early warning of Newborn Birth-defects with have very large application prospect in intervening.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1., based on a Newborn Birth-defects method for early warning for gridding technique, it is characterized in that: comprise the following steps,
Step one, by treating that the map of prewarning area carries out stress and strain model according to warp, latitude, is divided into multiple grid spaces;
Step 2, adds up the population distribution quantity of each described grid spaces, gets rid of the grid spaces of population distribution quantity lower than preset value;
Step 3, carries out corresponding higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point by population distribution amount;
Step 4, statistics population distribution amount to be born sum and have neonate's sum of inborn defect higher than all neonates in the grid spaces of preset value, and i-th population abundance is denoted as P higher than the sum of being born of the neonate in the grid spaces of preset value
i, i-th population abundance is designated as p higher than the sum of being born of the neonate with inborn defect in the grid spaces of preset value
i, calculating population distribution amount higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value is R=p
i/ P
i;
Step 5, setting morbidity rate threshold value, single population distribution amount is contrasted higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value and morbidity rate threshold value, and the population distribution amount of Newborn Birth-defects higher than morbidity rate threshold value is marked higher than the grid spaces of preset value;
Step 6, is associated the grid spaces of labeled population distribution amount higher than preset value with local environment factor, realizes Newborn Birth-defects early warning.
2. a kind of Newborn Birth-defects method for early warning based on gridding technique according to claim 1, it is characterized in that: in step 3, population distribution amount is carried out corresponding method higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point is, to the neonatal address of inborn defect be had, generate corresponding warp, latitude point in conjunction with Baidu map API.
3. a kind of neonate's defect method for early warning based on gridding technique according to claim 1 and 2, is characterized in that: described morbidity rate threshold value is the Newborn Birth-defects morbidity rate in the whole nation.
4. a kind of neonate's defect method for early warning based on gridding technique according to claim 1 and 2, it is characterized in that: will treat that the map of prewarning area carries out stress and strain model, the number of carrying out the grid spaces of stress and strain model is with the size treating prewarning area and treat that the precision of early warning is associated.
5. a kind of neonate's defect method for early warning based on gridding technique according to claim 1 and 2, it is characterized in that: in step 5, to Newborn Birth-defects higher than morbidity rate threshold value population distribution amount higher than preset value grid spaces adopt red green two kinds of colors mark, red expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is greater than ill threshold value, and green expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is less than or equal to ill threshold value.
6. based on neonate's defect early warning system of gridding technique, it is characterized in that: comprise stress and strain model module, population limit value module, population respective modules, inborn defect morbidity rate computing module, labeling module and environmentally hazardous module,
The map in the region that described stress and strain model module is used for treating early warning carries out stress and strain model according to warp, latitude, is divided into multiple grid spaces;
Described limiting module, for adding up the population distribution quantity of each described grid spaces, is got rid of the grid spaces of population distribution quantity lower than preset value;
Described population respective modules is used for population distribution amount to carry out corresponding higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point;
Described inborn defect morbidity rate computing module to be born sum and have neonate's sum of inborn defect higher than all neonates in the grid spaces of preset value for adding up population distribution amount, and i-th population abundance is denoted as P higher than the sum of being born of the neonate in the grid spaces of preset value
i, i-th population abundance is designated as p higher than the sum of being born of the neonate with inborn defect in the grid spaces of preset value
i, calculating population distribution amount higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value is R=p
i/ P
i;
Described labeling module is for setting morbidity rate threshold value, and single population distribution amount is contrasted higher than the morbidity rate of the Newborn Birth-defects in the grid spaces of preset value and morbidity rate threshold value, and the population distribution amount of Newborn Birth-defects higher than morbidity rate threshold value is marked higher than the grid spaces of preset value;
Described environmentally hazardous module is used for the grid spaces of labeled population distribution amount higher than preset value to be associated with local environment factor, realizes Newborn Birth-defects early warning.
7. a kind of neonate's defect early warning system based on gridding technique according to claim 6, it is characterized in that: population distribution amount is carried out corresponding method higher than the neonatal address with inborn defect in the grid spaces of preset value with corresponding warp, latitude point is, to the neonatal address of inborn defect be had, generate corresponding warp, latitude point in conjunction with Baidu map API.
8. a kind of neonate's defect early warning system based on gridding technique according to claim 6 or 7, is characterized in that: described morbidity rate threshold value is the Newborn Birth-defects morbidity rate in the whole nation.
9. a kind of neonate's defect early warning system based on gridding technique according to claim 6 or 7, it is characterized in that: will treat that the map of prewarning area carries out stress and strain model, the number of carrying out the grid spaces of stress and strain model is with the size treating prewarning area and treat that the precision of early warning is associated.
10. a kind of neonate's defect early warning system based on gridding technique according to claim 6 or 7, it is characterized in that: to Newborn Birth-defects higher than morbidity rate threshold value population distribution amount higher than preset value grid spaces adopt red green two kinds of colors mark, red expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is greater than ill threshold value, and green expression treats that the morbidity rate of the Newborn Birth-defects of prewarning area is less than or equal to ill threshold value.
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| CN201510523836.4A CN105159965A (en) | 2015-08-24 | 2015-08-24 | Grid technology based newborn defect early-warning method and system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107463771A (en) * | 2017-07-14 | 2017-12-12 | 北京华搏信息技术有限公司 | A kind of method and system of case packet |
| CN108511073A (en) * | 2017-12-28 | 2018-09-07 | 王秀丽 | A kind of Newborn Birth-defects method for early warning based on grid |
| CN108597608A (en) * | 2018-04-19 | 2018-09-28 | 迟春昕 | A kind of high risk neonate early warning points-scoring system |
-
2015
- 2015-08-24 CN CN201510523836.4A patent/CN105159965A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107463771A (en) * | 2017-07-14 | 2017-12-12 | 北京华搏信息技术有限公司 | A kind of method and system of case packet |
| CN107463771B (en) * | 2017-07-14 | 2021-01-12 | 北京华搏信息技术有限公司 | Case grouping method and system |
| CN108511073A (en) * | 2017-12-28 | 2018-09-07 | 王秀丽 | A kind of Newborn Birth-defects method for early warning based on grid |
| CN108597608A (en) * | 2018-04-19 | 2018-09-28 | 迟春昕 | A kind of high risk neonate early warning points-scoring system |
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Application publication date: 20151216 |