PMID- 36064113
OWN - NLM
STAT- MEDLINE
DCOM- 20221013
LR  - 20221114
IS  - 1532-0480 (Electronic)
IS  - 1532-0464 (Linking)
VI  - 134
DP  - 2022 Oct
TI  - Studying the association of diabetes and healthcare cost on distributed data from 
      the Maastricht Study and Statistics Netherlands using a privacy-preserving 
      federated learning infrastructure.
PG  - 104194
LID - S1532-0464(22)00199-X [pii]
LID - 10.1016/j.jbi.2022.104194 [doi]
AB  - The mining of personal data collected by multiple organizations remains 
      challenging in the presence of technical barriers, privacy concerns, and legal 
      and/or organizational restrictions. While a number of privacy-preserving and data 
      mining frameworks have recently emerged, much remains to show their practical 
      utility. In this study, we implement and utilize a secure infrastructure using 
      data from Statistics Netherlands and the Maastricht Study to learn the 
      association between Type 2 Diabetes Mellitus (T2DM) and healthcare expenses 
      considering the impact of lifestyle, physical activities, and complications of 
      T2DM. Through experiments using real-world distributed personal data, we present 
      the feasibility and effectiveness of the secure infrastructure for practical use 
      cases of linking and analyzing vertically partitioned data across multiple 
      organizations. We discovered that individuals diagnosed with T2DM had 
      significantly higher expenses than those with prediabetes, while participants 
      with prediabetes spent more than those without T2DM in all the included 
      healthcare categories to different degrees. We further discuss a joint effort 
      from technical, ethical-legal, and domain-specific experts that is highly valued 
      for applying such a secure infrastructure to real-life use cases to protect data 
      privacy.
CI  - Copyright (c) 2022 The Author(s). Published by Elsevier Inc. All rights reserved.
FAU - Sun, Chang
AU  - Sun C
AD  - Institute of Data Science, Faculty of Science and Engineering, Maastricht 
      University, Maastricht, The Netherlands. Electronic address: 
      chang.sun@maastrichtuniversity.nl.
FAU - van Soest, Johan
AU  - van Soest J
AD  - Brightlands Institute of Smart Society, Faculty of Science and Engineering, 
      Maastricht University, Heerlen, The Netherlands.
FAU - Koster, Annemarie
AU  - Koster A
AD  - Department of Social Medicine, Faculty of Health, Medicine and Life Sciences, 
      Maastricht University, Maastricht, The Netherlands; Care and Public Health 
      Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht 
      University, Maastricht, The Netherlands.
FAU - Eussen, Simone J P M
AU  - Eussen SJPM
AD  - School for Cardiovascular Diseases, Faculty of Health, Medicine and Life 
      Sciences, Maastricht University, Maastricht, The Netherlands; Department of 
      Epidemiology, Faculty of Health, Medicine and Life Sciences, Maastricht 
      University, Maastricht, The Netherlands.
FAU - Schram, Miranda T
AU  - Schram MT
AD  - School for Cardiovascular Diseases, Faculty of Health, Medicine and Life 
      Sciences, Maastricht University, Maastricht, The Netherlands; Department of 
      Internal Medicine, Maastricht University Medical Centre+, Maastricht, The 
      Netherlands; School for Mental Health and Neuroscience, Faculty of Health, 
      Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; 
      Maastricht Heart & Vascular Center, Maastricht University Medical Center+, 
      Maastricht, The Netherlands.
FAU - Stehouwer, Coen D A
AU  - Stehouwer CDA
AD  - School for Cardiovascular Diseases, Faculty of Health, Medicine and Life 
      Sciences, Maastricht University, Maastricht, The Netherlands; Department of 
      Internal Medicine, Maastricht University Medical Centre+, Maastricht, The 
      Netherlands.
FAU - Dagnelie, Pieter C
AU  - Dagnelie PC
AD  - School for Cardiovascular Diseases, Faculty of Health, Medicine and Life 
      Sciences, Maastricht University, Maastricht, The Netherlands; Department of 
      Internal Medicine, Maastricht University Medical Centre+, Maastricht, The 
      Netherlands.
FAU - Dumontier, Michel
AU  - Dumontier M
AD  - Institute of Data Science, Faculty of Science and Engineering, Maastricht 
      University, Maastricht, The Netherlands.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220905
PL  - United States
TA  - J Biomed Inform
JT  - Journal of biomedical informatics
JID - 100970413
SB  - IM
MH  - *Diabetes Mellitus, Type 2/therapy
MH  - Health Care Costs
MH  - Humans
MH  - Netherlands
MH  - *Prediabetic State
MH  - Privacy
OTO - NOTNLM
OT  - Distributed data
OT  - Federated learning
OT  - Healthcare cost
OT  - Privacy-preserving data mining
OT  - Type 2 diabetes
OT  - Vertically partitioned data
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2022/09/06 06:00
MHDA- 2022/10/14 06:00
CRDT- 2022/09/05 19:26
PHST- 2022/06/25 00:00 [received]
PHST- 2022/08/26 00:00 [revised]
PHST- 2022/08/29 00:00 [accepted]
PHST- 2022/09/06 06:00 [pubmed]
PHST- 2022/10/14 06:00 [medline]
PHST- 2022/09/05 19:26 [entrez]
AID - S1532-0464(22)00199-X [pii]
AID - 10.1016/j.jbi.2022.104194 [doi]
PST - ppublish
SO  - J Biomed Inform. 2022 Oct;134:104194. doi: 10.1016/j.jbi.2022.104194. Epub 2022 
      Sep 5.