Further Perspectives on Predictive Modeling for Diabetes Subtypes Classification in India

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Published in:Journal of diabetology Vol. 16; no. 4; pp. 387 - 388
Main Authors: Venkatesan, Ulagamadesan, Amutha, Anandakumar, Mappillairaju, Bagavandas, Mohan, Viswanathan
Format: Journal Article
Language:English
Published: India Wolters Kluwer - Medknow 01.10.2025
Edition:3
Subjects:
Commentary
ISSN:2543-3288, 2078-7685
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Author Venkatesan, Ulagamadesan
Amutha, Anandakumar
Mappillairaju, Bagavandas
Mohan, Viswanathan
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  givenname: Anandakumar
  surname: Amutha
  fullname: Amutha, Anandakumar
  organization: Madras Diabetes Research Foundation
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  givenname: Bagavandas
  surname: Mappillairaju
  fullname: Mappillairaju, Bagavandas
  organization: SRM Institute of Science and Technology
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  givenname: Viswanathan
  surname: Mohan
  fullname: Mohan, Viswanathan
  organization: Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation
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Cites_doi 10.6065/apem.2018.23.3.126
10.1136/bmjopen-2015-009088
10.4103/2224-3151.206547
10.1007/s11892-024-01546-2
10.1177/1932296816645121
10.1016/j.jclinepi.2019.02.016
10.4103/jod.jod_233_24
10.1186/s12874-017-0442-1
10.1177/096228029900800102
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Praveen (CIT0007-20251030) 2016; 5
Titmuss (CIT0009-20251030) 2024; 24
Bhardwaj (CIT0001-20251030) 2025; 16
Kalra (CIT0008-20251030) 2018; 23
Shields (CIT0006-20251030) 2015; 5
Madley-Dowd (CIT0004-20251030) 2019; 110
Praveen (CIT0010-20251030) 2016; 10
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  start-page: 126
  year: 2018
  ident: CIT0008-20251030
  article-title: Childhood diabetes in India
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  doi: 10.6065/apem.2018.23.3.126
– volume: 16
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  year: 2025
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  article-title: Letter to editor: Predictive modeling for diabetes subtype classification in India: A machine learning approach
  publication-title: J Diabetol
– volume: 5
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  year: 2015
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  article-title: Can clinical features be used to differentiate type 1 from type 2 diabetes? A systematic review of the literature
  publication-title: BMJ Open
  doi: 10.1136/bmjopen-2015-009088
– volume: 5
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  year: 2016
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  article-title: Childhood obesity and type 2 diabetes in India
  publication-title: WHO South-East Asia J Public Health
  doi: 10.4103/2224-3151.206547
– volume: 24
  start-page: 183
  year: 2024
  ident: CIT0009-20251030
  article-title: Youth-onset type 2 diabetes: An overview of pathophysiology, prognosis, prevention and management
  publication-title: Curr Diab Rep
  doi: 10.1007/s11892-024-01546-2
– volume: 10
  start-page: 1034
  year: 2016
  ident: CIT0010-20251030
  article-title: Registry of youth onset diabetes in India (YDR): Rationale, recruitment, and current status
  publication-title: J Diabetes Sci Technol
  doi: 10.1177/1932296816645121
– volume: 110
  start-page: 63
  year: 2019
  ident: CIT0004-20251030
  article-title: The proportion of missing data should not be used to guide decisions on multiple imputation
  publication-title: J Clin Epidemiol
  doi: 10.1016/j.jclinepi.2019.02.016
– volume: 16
  start-page: 165
  year: 2025
  ident: CIT0002-20251030
  article-title: Predictive modeling for diabetes subtype classification in India: A machine learning approach
  publication-title: J Diabetol
  doi: 10.4103/jod.jod_233_24
– volume: 17
  start-page: 162
  year: 2017
  ident: CIT0003-20251030
  article-title: When and how should multiple imputation be used for handling missing data in randomised clinical trials – A practical guide with flowcharts
  publication-title: BMC Med Res Methodol
  doi: 10.1186/s12874-017-0442-1
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  year: 1999
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  article-title: Multiple imputation: A primer
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Title Further Perspectives on Predictive Modeling for Diabetes Subtypes Classification in India
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