PMID- 30441340
OWN - NLM
STAT- MEDLINE
DCOM- 20191030
LR  - 20200928
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2018
DP  - 2018 Jul
TI  - Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes 
      Mellitus Using Wearable Technology.
PG  - 4456-4459
LID - 10.1109/EMBC.2018.8513343 [doi]
AB  - Worldwide spending on long-term and chronic care conditions is increasing to a 
      point that requires immediate interventions and advancements to reduce the burden 
      of the healthcare cost. This research is focused on early detection of 
      prediabetes and type 2 diabetes mellitus (T2DM) using wearable technology. An 
      artificial intelligence model was developed based on adaptive-neuro fuzzy 
      interference to detect prediabetes and T2DM via individualized monitoring. The 
      key contributing factors to the proposed model include heart rate, heart rate 
      variability, breathing rate, breathing volume, and activity data (steps, cadence 
      and calories). The data was collected using an advanced wearable body vest. The 
      real-time data was combined with manual recordings of blood glucose, height, 
      weight, age and sex. The model analyzed the data alongside a clinical 
      knowledge-base. Fuzzy rules were used to establish baseline values via existing 
      interventions, clinical guidelines and protocols. The proposed model was tested 
      and validated using Kappa analysis and achieved an overall agreement of 91%.
FAU - Baig, Mirza
AU  - Baig M
FAU - Mirza, Farhaan
AU  - Mirza F
FAU - GholamHosseini, Hamid
AU  - GholamHosseini H
FAU - Gutierrez, Jairo
AU  - Gutierrez J
FAU - Ullah, Ehsan
AU  - Ullah E
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
RN  - 0 (Blood Glucose)
SB  - IM
MH  - Blood Glucose/analysis
MH  - *Decision Support Systems, Clinical
MH  - Diabetes Mellitus, Type 2/*diagnosis
MH  - Humans
MH  - Prediabetic State/*diagnosis
MH  - *Wearable Electronic Devices
EDAT- 2018/11/18 06:00
MHDA- 2019/10/31 06:00
CRDT- 2018/11/17 06:00
PHST- 2018/11/17 06:00 [entrez]
PHST- 2018/11/18 06:00 [pubmed]
PHST- 2019/10/31 06:00 [medline]
AID - 10.1109/EMBC.2018.8513343 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:4456-4459. doi: 
      10.1109/EMBC.2018.8513343.