Prognosis of diabetes disease using data mining classification techniques : (Record no. 94344)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818174706.0
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fixed length control field 170109s2014 th uu|m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12177313
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.IM-14-02
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pradhan, Shreya
245 10 - TITLE STATEMENT
Title Prognosis of diabetes disease using data mining classification techniques :
Remainder of title a case study of Phra Pok Klao Chanthaburi Hospital
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. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 32 p. :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Research studies project report ;
Volume/sequential designation no. IM-14-02
500 ## - GENERAL NOTE
General note A research submitted in partial fulfi llment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology
520 ## - SUMMARY, ETC.
Summary, etc. Data mining techniques are resu lts of a long processing of anal ysis, prediction, research and platform based development. Modern medical institutes and techniques deal with huge amount of information stored in medical databases. The effective practice in medical mining is achieved through improved medical diagnosis using automatic analysis techniques from patient{u2019}s details and case history stored in medical records. Diabetes (Diabetes mellitus) is a chronic diseas e with 382 million people affected with this disease. There are three type of Diabetes namely T ype 1, Type 2 and Gestational. The datasets for this study consisted of 4,104 diabetes patients (bot h IPD and OPD) from the Phra Pok Klao Chanthaburi Hospital of Thailand between the periods of 2009 to 2013. The main purpose of this study is to analyze risk of diabetes in patients and predict death risk using classification techniques of data mi ning depending upon many factors and obtained medical datasets. This study also aims at discovering role of da ta mining tools and techniques for massive medical data evaluation that provides po werful assessment for medical decision making. The comparisons of the different classifiers and visualization through different decision tree techniques have been applied. The results of the stu dy determined some crucial finding s for the purpose of prognosis of diabetes disease. Type 2 diab etes was common among the patients with various complications (respiratory organs, abdominal or gans, heart, blood cells, skin a nd urinal organs) leading to death, DM risk and long span duration of the dis ease. Diabetes Mellitus (DM) risk tended to be higher in patients with age of 31 to 60 and 61 to 100 on basi s of HbA1c test results and classification. Some factors like age, HbA1c test, comp lications, type of diabetes, drug type illustrated high significance effect in predicting DM risk and death risk due to diabetes suffering. However, no significance of DM risk based on gender was found.Therefore, the significance of the medical analys is depended on the dataset obtained that consisted of diabetic patient{u2019}s diagnosis hist ory and the chosen classification model namely Naïve Bayes classifier along w ith decision trees generated by CHAID and Random tree.
502 ## - DISSERTATION NOTE
Dissertation note Research Studies Project Report (M.Sc.) - Asian Institute of Technology, 2014
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Diabetes
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medicine
General subdivision Data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medicine
Form subdivision Databases
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sumanta, Guha,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Raphael Duboz,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Chutiporn Anutariya,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology 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-14-01
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B01450">http://203.159.5.9/ait-thesis/detail.php?q=B01450</a>
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT RSPR no.IM-14-02 30050120315378 18/08/2026 1 18/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT RSPR no.IM-14-02 30050120315345 18/08/2026 2 18/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026     AIT RSPR no.IM-14-02 30050120403570 18/08/2026 1 18/08/2026 40-Archives
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