Schizophrenia Auxiliary Diagnosis System Based on Data Mining Technology View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-05

AUTHORS

Xiaohong Wang, Na Zhao, Peng Ouyang, Jiayi Lin, Jian Hu

ABSTRACT

In order to use digital medical technology to develop and design an auxiliary diagnosis system for schizophrenia to assist doctors at all levels to diagnose and predict the cure of patients, improve the accuracy of diagnosis of symptoms, find complications in advance, and reduce the risk of disease, the application of Bayesian network in auxiliary diagnosis system of schizophrenia is studied, and an auxiliary diagnosis system of schizophrenia is designed. Based on data mining technology, knowledge information can be found from patient data and used to diagnose the nature of patients. The demand analysis of auxiliary diagnosis system is briefly introduced, and an auxiliary diagnosis system for schizophrenia based on Bayesian network is designed. More... »

PAGES

125

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10916-019-1214-8

DOI

http://dx.doi.org/10.1007/s10916-019-1214-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113043622

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30919125


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Harbin Medical University", 
          "id": "https://www.grid.ac/institutes/grid.412596.d", 
          "name": [
            "Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xiaohong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Harbin Medical University", 
          "id": "https://www.grid.ac/institutes/grid.412596.d", 
          "name": [
            "Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Na", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "School of Management, Harbin Institute of Technology, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ouyang", 
        "givenName": "Peng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Beijing Electro-Mechanical Engineering Institute, 100074, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Jiayi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Harbin Medical University", 
          "id": "https://www.grid.ac/institutes/grid.412596.d", 
          "name": [
            "Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, 150001, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hu", 
        "givenName": "Jian", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.archoralbio.2015.10.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012916667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.saa.2014.12.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024596209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envres.2016.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037754273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/echo.13238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049045708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jns.2015.08.369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049169636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/echo.13355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051638613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajh/hpv146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059382723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/europace/euw318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079383450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/id.0000000000000597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085376361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/id.0000000000000597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085376361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circep.116.004508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085466448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circep.116.004508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085466448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circep.116.004508", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085466448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.19082/5395", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092123148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.schres.2018.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100426560"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-05", 
    "datePublishedReg": "2019-05-01", 
    "description": "In order to use digital medical technology to develop and design an auxiliary diagnosis system for schizophrenia to assist doctors at all levels to diagnose and predict the cure of patients, improve the accuracy of diagnosis of symptoms, find complications in advance, and reduce the risk of disease, the application of Bayesian network in auxiliary diagnosis system of schizophrenia is studied, and an auxiliary diagnosis system of schizophrenia is designed. Based on data mining technology, knowledge information can be found from patient data and used to diagnose the nature of patients. The demand analysis of auxiliary diagnosis system is briefly introduced, and an auxiliary diagnosis system for schizophrenia based on Bayesian network is designed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10916-019-1214-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1088158", 
        "issn": [
          "0148-5598", 
          "1573-689X"
        ], 
        "name": "Journal of Medical Systems", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "43"
      }
    ], 
    "name": "Schizophrenia Auxiliary Diagnosis System Based on Data Mining Technology", 
    "pagination": "125", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "505b947669dd21e9db8d097372b9ede44f604f875bde3290fb085afaa29b226e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30919125"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7806056"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10916-019-1214-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113043622"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10916-019-1214-8", 
      "https://app.dimensions.ai/details/publication/pub.1113043622"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:37", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000370_0000000370/records_46779_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10916-019-1214-8"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10916-019-1214-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10916-019-1214-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10916-019-1214-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10916-019-1214-8'


 

This table displays all metadata directly associated to this object as RDF triples.

133 TRIPLES      21 PREDICATES      41 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10916-019-1214-8 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Na1eb577a866347bbaf66ec922ccc5fc1
4 schema:citation https://doi.org/10.1016/j.archoralbio.2015.10.020
5 https://doi.org/10.1016/j.envres.2016.04.011
6 https://doi.org/10.1016/j.jns.2015.08.369
7 https://doi.org/10.1016/j.saa.2014.12.114
8 https://doi.org/10.1016/j.schres.2018.01.002
9 https://doi.org/10.1093/ajh/hpv146
10 https://doi.org/10.1093/europace/euw318
11 https://doi.org/10.1097/id.0000000000000597
12 https://doi.org/10.1111/echo.13238
13 https://doi.org/10.1111/echo.13355
14 https://doi.org/10.1161/circep.116.004508
15 https://doi.org/10.19082/5395
16 schema:datePublished 2019-05
17 schema:datePublishedReg 2019-05-01
18 schema:description In order to use digital medical technology to develop and design an auxiliary diagnosis system for schizophrenia to assist doctors at all levels to diagnose and predict the cure of patients, improve the accuracy of diagnosis of symptoms, find complications in advance, and reduce the risk of disease, the application of Bayesian network in auxiliary diagnosis system of schizophrenia is studied, and an auxiliary diagnosis system of schizophrenia is designed. Based on data mining technology, knowledge information can be found from patient data and used to diagnose the nature of patients. The demand analysis of auxiliary diagnosis system is briefly introduced, and an auxiliary diagnosis system for schizophrenia based on Bayesian network is designed.
19 schema:genre research_article
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N0559629e4e3c4898922f09612c72cb65
23 Nc869bd462c6f4a19b7047953de9d0b2a
24 sg:journal.1088158
25 schema:name Schizophrenia Auxiliary Diagnosis System Based on Data Mining Technology
26 schema:pagination 125
27 schema:productId N4308413354274defba3f14c4bfda7997
28 N46c6c4e71abb4e979a6be52b0dcb80e5
29 N67ba79c0d2004962addb4beea5bab729
30 N79acee93558b4b7496f43b78a095d3b0
31 Nff74b2326bb94dcfa29edcbe6347552d
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113043622
33 https://doi.org/10.1007/s10916-019-1214-8
34 schema:sdDatePublished 2019-04-11T13:37
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N55004a43602241aaa34df4de688ce57e
37 schema:url https://link.springer.com/10.1007%2Fs10916-019-1214-8
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N0559629e4e3c4898922f09612c72cb65 schema:volumeNumber 43
42 rdf:type schema:PublicationVolume
43 N16f7d8e817324d35b068d5ef43a7aaa2 rdf:first N1e918386267c4bfe8740a88a334b8498
44 rdf:rest rdf:nil
45 N1e918386267c4bfe8740a88a334b8498 schema:affiliation https://www.grid.ac/institutes/grid.412596.d
46 schema:familyName Hu
47 schema:givenName Jian
48 rdf:type schema:Person
49 N2077656cdb65441faec365c02af8badb rdf:first N29156bea930d4a53b7196908586819c4
50 rdf:rest Nb28e4535b39049f293b705daa6ecf3cb
51 N29156bea930d4a53b7196908586819c4 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
52 schema:familyName Ouyang
53 schema:givenName Peng
54 rdf:type schema:Person
55 N4308413354274defba3f14c4bfda7997 schema:name doi
56 schema:value 10.1007/s10916-019-1214-8
57 rdf:type schema:PropertyValue
58 N46c6c4e71abb4e979a6be52b0dcb80e5 schema:name nlm_unique_id
59 schema:value 7806056
60 rdf:type schema:PropertyValue
61 N4b9b4d4b586e466586c0d2e2ab65985b rdf:first N9809c63e8293408aa6dd8d11a4482b3b
62 rdf:rest N2077656cdb65441faec365c02af8badb
63 N5158f76c1c244096b447e060c72751af schema:name Beijing Electro-Mechanical Engineering Institute, 100074, Beijing, China
64 rdf:type schema:Organization
65 N55004a43602241aaa34df4de688ce57e schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N67ba79c0d2004962addb4beea5bab729 schema:name dimensions_id
68 schema:value pub.1113043622
69 rdf:type schema:PropertyValue
70 N79acee93558b4b7496f43b78a095d3b0 schema:name readcube_id
71 schema:value 505b947669dd21e9db8d097372b9ede44f604f875bde3290fb085afaa29b226e
72 rdf:type schema:PropertyValue
73 N9809c63e8293408aa6dd8d11a4482b3b schema:affiliation https://www.grid.ac/institutes/grid.412596.d
74 schema:familyName Zhao
75 schema:givenName Na
76 rdf:type schema:Person
77 Na1eb577a866347bbaf66ec922ccc5fc1 rdf:first Naf26b4c5ae5b47978d0a98c950b17ddd
78 rdf:rest N4b9b4d4b586e466586c0d2e2ab65985b
79 Naf26b4c5ae5b47978d0a98c950b17ddd schema:affiliation https://www.grid.ac/institutes/grid.412596.d
80 schema:familyName Wang
81 schema:givenName Xiaohong
82 rdf:type schema:Person
83 Nb28e4535b39049f293b705daa6ecf3cb rdf:first Nd20ec2b31e954972a7d1081c45f1d124
84 rdf:rest N16f7d8e817324d35b068d5ef43a7aaa2
85 Nc869bd462c6f4a19b7047953de9d0b2a schema:issueNumber 5
86 rdf:type schema:PublicationIssue
87 Nd20ec2b31e954972a7d1081c45f1d124 schema:affiliation N5158f76c1c244096b447e060c72751af
88 schema:familyName Lin
89 schema:givenName Jiayi
90 rdf:type schema:Person
91 Nff74b2326bb94dcfa29edcbe6347552d schema:name pubmed_id
92 schema:value 30919125
93 rdf:type schema:PropertyValue
94 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
95 schema:name Information and Computing Sciences
96 rdf:type schema:DefinedTerm
97 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
98 schema:name Information Systems
99 rdf:type schema:DefinedTerm
100 sg:journal.1088158 schema:issn 0148-5598
101 1573-689X
102 schema:name Journal of Medical Systems
103 rdf:type schema:Periodical
104 https://doi.org/10.1016/j.archoralbio.2015.10.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012916667
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/j.envres.2016.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037754273
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/j.jns.2015.08.369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049169636
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.saa.2014.12.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024596209
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.schres.2018.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100426560
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1093/ajh/hpv146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059382723
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1093/europace/euw318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079383450
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1097/id.0000000000000597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085376361
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1111/echo.13238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049045708
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1111/echo.13355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051638613
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1161/circep.116.004508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085466448
125 rdf:type schema:CreativeWork
126 https://doi.org/10.19082/5395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092123148
127 rdf:type schema:CreativeWork
128 https://www.grid.ac/institutes/grid.19373.3f schema:alternateName Harbin Institute of Technology
129 schema:name School of Management, Harbin Institute of Technology, 150001, Harbin, China
130 rdf:type schema:Organization
131 https://www.grid.ac/institutes/grid.412596.d schema:alternateName First Affiliated Hospital of Harbin Medical University
132 schema:name Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, 150001, Harbin, China
133 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...