Using a Relational Database to Index Infectious Disease Information

被引:1
|
作者
Brown, Jay A. [1 ]
机构
[1] Natl Lib Med, Specialized Informat Serv, Bethesda, MD 20892 USA
关键词
decision support; relational database; infectious diseases; public health informatics; early detection; differential diagnosis; indexing information; knowledge mapping; PUBLIC-HEALTH MANAGEMENT; BIOLOGICAL WEAPON; COMPUTER-PROGRAM; BIOTERRORISM; DIAGNOSIS; FEVER; PATIENT; ANTHRAX; GIDEON;
D O I
10.3390/ijerph7052177
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mapping medical knowledge into a relational database became possible with the availability of personal computers and user-friendly database software in the early 1990s. To create a database of medical knowledge, the domain expert works like a mapmaker to first outline the domain and then add the details, starting with the most prominent features. The resulting "intelligent database" can support the decisions of healthcare professionals. The intelligent database described in this article contains profiles of 275 infectious diseases. Users can query the database for all diseases matching one or more specific criteria (symptom, endemic region of the world, or epidemiological factor). Epidemiological factors include sources (patients, water, soil, or animals), routes of entry, and insect vectors. Medical and public health professionals could use such a database as a decision-support software tool.
引用
收藏
页码:2177 / 2190
页数:14
相关论文
共 50 条
  • [1] Indexing infectious disease information into a relational database for useful queries on the World Wide Web
    Brown, J.
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2010, 14 : E273 - E273
  • [2] Indexing Infectious Disease Information with an Intelligent Database
    Brown, J.
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2008, 12 : E190 - E191
  • [3] Infectious disease infection index information system
    Jang, Beakcheol
    Lee, Miran
    Kim, Myeong Hwi
    Kim, Hyun Jung
    Yoo, Hoon
    Kim, Jong Wook
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2019,
  • [4] USING A RELATIONAL DATABASE AS AN INDEX TO A DISTRIBUTED OBJECT DATABASE IN ENGINEERING DESIGN SYSTEMS
    HARDWICK, M
    SAMARAS, G
    [J]. SECOND INTERNATIONAL CONFERENCE ON DATA AND KNOWLEDGE SYSTEMS FOR MANUFACTURING AND ENGINEERING, 1989, : 4 - 11
  • [5] INDEX SELECTION IN A DISTRIBUTED RELATIONAL DATABASE
    BARCUCCI, E
    CHIUDERI, A
    PINZANI, R
    VERRI, MC
    [J]. COMPUTERS AND ARTIFICIAL INTELLIGENCE, 1991, 10 (04): : 381 - 397
  • [6] Relational Database Index Selection Algorithm
    Boronski, Radoslaw
    Bocewicz, Grzegorz
    [J]. COMPUTER NETWORKS, CN 2014, 2014, 431 : 338 - 347
  • [7] The Relational Database and the Concept of the Information System
    Grier, David Alan
    [J]. IEEE ANNALS OF THE HISTORY OF COMPUTING, 2012, 34 (04) : 9 - 17
  • [8] A relational database for storing clinical information
    Mercando, AD
    [J]. PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 1996, 19 (07): : 1112 - 1116
  • [9] An Innovative Approach to Manage Heterogeneous Information Using Relational Database Systems
    Sabo, Cosmin
    Pop, Petrica C.
    Valean, Honoriu
    Danciulescu, Daniela
    [J]. INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016), 2017, 557 : 1 - 10
  • [10] An Intelligent System For Information Extraction From Relational Database Using HMM
    Sangeeth, N.
    Rejimoan, R.
    [J]. 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND IMPLEMENTATIONS (ICSCTI), 2015,