PMID- 37841702
OWN - NLM
STAT- MEDLINE
DCOM- 20231023
LR  - 20231103
IS  - 2296-2565 (Electronic)
IS  - 2296-2565 (Linking)
VI  - 11
DP  - 2023
TI  - IoT in medical diagnosis: detecting excretory functional disorders for Older 
      adults via bathroom activity change using unobtrusive IoT technology.
PG  - 1161943
LID - 10.3389/fpubh.2023.1161943 [doi]
LID - 1161943
AB  - The Internet of Things (IoT) and Artificial Intelligence (AI) are promising 
      technologies that can help make the health system more efficient, which 
      concurrently can be particularly useful to help maintain a high quality of life 
      for older adults, especially in light of healthcare staff shortage. Many health 
      issues are challenging to manage both by healthcare staff and policymakers. They 
      have a negative impact on older adults and their families and are an economic 
      burden to societies around the world. This situation is particularly critical for 
      older adults, a population highly vulnerable to diseases that needs more 
      consideration and care. It is, therefore, crucial to improve diagnostic and 
      management as well as proposed prevention strategies to enhance the health and 
      quality of life of older adults. In this study, we focus on detecting symptoms in 
      early stages of diseases to prevent the deterioration of older adults' health and 
      avoid complications. We focus on digestive and urinary system disorders [mainly 
      the Urinary Tract Infection (UTI) and the Irritable Bowel Syndrome (IBS)] that 
      are known to affect older adult populations and that are detrimental to their 
      health and quality of life. Our proposed approach relies on unobtrusive IoT and 
      change point detections algorithms to help follow older adults' health status 
      daily. The approach monitors long-term behavior changes and detects possible 
      changes in older adults' behavior suggesting early onsets or symptoms of IBS and 
      UTI. We validated our approach with medical staff reports and IoT data collected 
      in the residence of 16 different older adults during periods ranging from several 
      months to a few years. Results are showing that our proposed approach can detect 
      changes associated to symptoms of UTI and IBS, which were confirmed with 
      observations and testimonies from the medical staff.
CI  - Copyright (c) 2023 Abdulrazak, Mostafa Ahmed, Aloulou, Mokhtari and Blanchet.
FAU - Abdulrazak, Bessam
AU  - Abdulrazak B
AD  - AMI-Lab, Universite de Sherbrooke, Sherbrooke, QC, Canada.
FAU - Mostafa Ahmed, Hassan
AU  - Mostafa Ahmed H
AD  - AMI-Lab, Universite de Sherbrooke, Sherbrooke, QC, Canada.
FAU - Aloulou, Hamdi
AU  - Aloulou H
AD  - ReDCAD, Centre de Recherche en Numerique de Sfax, Sakiet Ezzit, Tunisia.
FAU - Mokhtari, Mounir
AU  - Mokhtari M
AD  - Institute Mine-Telecom, Paris, France.
FAU - Blanchet, F Guillaume
AU  - Blanchet FG
AD  - Departement de biologie, Faculte des sciences, Universite de Sherbrooke, 
      Sherbrooke, QC, Canada.
AD  - Departement de mathematiques, Faculte des sciences, Universite de Sherbrooke, 
      Sherbrooke, QC, Canada.
AD  - Departement des sciences de la sante communautaire, Faculte de medecine et des 
      sciences de la sante, Universite de Sherbrooke, Sherbrooke, QC, Canada.
LA  - eng
PT  - Journal Article
DEP - 20230929
PL  - Switzerland
TA  - Front Public Health
JT  - Frontiers in public health
JID - 101616579
SB  - IM
MH  - Humans
MH  - Aged
MH  - *Internet of Things
MH  - Artificial Intelligence
MH  - *Irritable Bowel Syndrome
MH  - Quality of Life
MH  - Toilet Facilities
PMC - PMC10574436
OTO - NOTNLM
OT  - Internet of Things
OT  - early detection
OT  - excretory functional disorders
OT  - irritable bowel syndrome
OT  - older adults
OT  - urinary tract infection
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2023/10/16 06:48
MHDA- 2023/10/23 01:18
PMCR- 2023/09/29
CRDT- 2023/10/16 04:39
PHST- 2023/04/03 00:00 [received]
PHST- 2023/07/28 00:00 [accepted]
PHST- 2023/10/23 01:18 [medline]
PHST- 2023/10/16 06:48 [pubmed]
PHST- 2023/10/16 04:39 [entrez]
PHST- 2023/09/29 00:00 [pmc-release]
AID - 10.3389/fpubh.2023.1161943 [doi]
PST - epublish
SO  - Front Public Health. 2023 Sep 29;11:1161943. doi: 10.3389/fpubh.2023.1161943. 
      eCollection 2023.