Development of expert system for diabetes diagnosis (Record no. 29286)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818090833.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200707s2018 th uu m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12346111
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.IM-18-01
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Agha, Hazrat Ali
245 10 - TITLE STATEMENT
Title Development of expert system for diabetes diagnosis
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 63 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Research studies project report ;
Volume/sequential designation no. IM-18-01
500 ## - GENERAL NOTE
General note A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Research studies project report (M. Eng.) - Asian Institute of Technology, 2018
520 ## - SUMMARY, ETC.
Summary, etc. In the recent era, expert systems have been developed in large scale which have affected all sectors of human life especially in medicine. The purpose of this study is to analyze risk of diabetes in patients and predict its seriousness by using the classification techniques depending on attained medical datasets. Basically, diabetes is a chronic disease which severely affects the body's ability to use blood sugar properly. Moreover, its common symptoms may include increased thirst and urination, blurred vision, and fatigue. The scary facts about diabetes is its rapid prevalence worldwide as well as its unawareness among the people. Hence, medical practitioners suggest if diabetes could be diagnosed early, it may save lots of lives across the world. For this reason, an expert system is developed that can diagnose diabetes by considering the dataset{u2019}s basic attributes such as age, plasma glucose concentration, triceps skin fold thickness, 2-hour serum insulin, body mass index, and diastolic blood pressure. Notably, this system can predict risk of diabetes by applying decision tree and rule induction data mining techniques to achieve results. Comparatively, decision tree algorithm proved to be better in performance and accuracy than rule induction algorithm. PHP, HTML, phpMyAdmin, Tomcat, Atom IDE were used for the development and implementational purposes. Lastly, system was evaluated with both testing dataset{u2019}s instances and users.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Diabetes
General subdivision Diagnosis
-- Programmed instruction
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
General subdivision Programming
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Vatcharaporn Esichaikul,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sumanta, Guha,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Phan, Minh Dung,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Ministry of Higher Education (MoHE), Afghanistan,
Relator term Scholarship donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element AIT Fellowship ,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Research studies project report ;
Volume/sequential designation no. IM-18-01
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B06932">http://203.159.5.9/ait-thesis/detail.php?q=B06932</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 200707
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
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Koha item type 40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 61-CD-ROM
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
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CREATED CREATED : 2020-06-23
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Cost, normal purchase price
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT RSPR no.IM-18-01 30050120890693 18/08/2026 1 18/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT RSPR no.IM-18-01   18/08/2026   18/08/2026 61-CD-ROM  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT RSPR no.IM-18-01 30050120982623 18/08/2026 1 18/08/2026 20-AIT Publication 50.00
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT RSPR no.IM-18-01 30050120982615 18/08/2026 2 18/08/2026 20-AIT Publication 50.00
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