Get help now — free helplines

You can call any of these for free. You do not need a diagnosis, an appointment, or a crisis to call — questions and plain exhaustion are reasons enough.

  • Alzheimer's Association 24/7 Helpline 800-272-3900 24 hours a day, 365 days a year Free, confidential support and information for people with dementia, caregivers, families and the public. Master's-level clinicians. Also Spanish.
  • 988 Suicide & Crisis Lifeline 988 24/7 Call or text 988, or chat at 988lifeline.org. For anyone in emotional distress or a mental-health crisis, including caregivers.
  • Alzheimer's Foundation of America (AFA) Helpline 866-232-8484 9:00 am - 9:00 pm ET, seven days a week Licensed social workers providing support, info and referrals. Also text message and web chat. Text: 646-586-5283

In a medical emergency, call 911. More numbers, and what each line does, on the help page.

This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 29 out of 100. Digital health tools

Topic: Risk, prevention and care in population studies

The global increase in the elderly population, which is expected to reach 2.1 billion by 2050, has highlighted the need for reliable monitoring systems to assist elderly individuals, especially those with dementia. More than 55 million people world

Key findings

Why it matters

This describes a smart RFID-driven system using machine learning to monitor and localize dementia patients. It addresses patient tracking and safety, not treating, curing or preventing Alzheimer's disease.

Study details

How this study scored 29/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 0 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 1 of 7; Citations per year 0 of 5; Impact for its field and year 1 of 6; Cited by studies here 0 of 6; Still being cited 0 of 4; Senior author's track record 1 of 4; Institution's track record left out, no data; Multi-centre collaboration 0 of 3; Indexed in PubMed 1 of 2; Free to read 2 of 2. 28 of the 97 points it could be judged on, which is 29 of 100. Total 29 of 100.28 of the 97 points we could judge = 29 of 100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on institution's track record, so that was left out: it earned 28 of the 97 points we could judge it on, which is 29 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (International Journal of Technology)
Journal's citation record 0 / 4 International Journal of Technology: journal h-index 38 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 1 / 7 Cited 2 times (OpenAlex, 2026-10-10)
Citations per year 0 / 5 0.7 citations a year over 3 year(s) since 2025
Impact for its field and year 1 / 6 Cited 0.9× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 0 / 4 Cited 2 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 1 / 4 Last-listed author Mohamed Nasor: h-index 14 (OpenAlex, whole career)
Institution's track record — / 3 No institution listed in OpenAlex — left out of this score
Multi-centre collaboration 0 / 3 OpenAlex lists 0 institution(s) in 0 countries — scores zero (affiliation lists can be incomplete)
Indexed in PubMed 1 / 2 Not in PubMed, but has a DOI
Free to read 2 / 2 Free to read
Points 28 / 97 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 28 of the 97 points we could judge it on is 29 out of 100.
Total 29 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Raad, W., Deriche, M. A., Rais, R. N. B., Ammar, K., & Nasor, M. (2025). A Smart RFID-Driven System for Dementia Patient Tracking: A Machine Learning Approach for Monitoring and Localization. International Journal of Technology. https://doi.org/10.14716/ijtech.v16i6.7791

Vancouver

Raad W, Deriche MA, Rais RNB, Ammar K, Nasor M. A Smart RFID-Driven System for Dementia Patient Tracking: A Machine Learning Approach for Monitoring and Localization. International Journal of Technology. 2025. doi:10.14716/ijtech.v16i6.7791.

BibTeX

@article{raad2025-291de376,
  author  = {Raad, Wasim and Deriche, Mohamed A. and Rais, Rao Naveed Bin and Ammar, Khalid and Nasor, Mohamed},
  title   = {{A Smart RFID-Driven System for Dementia Patient Tracking: A Machine Learning Approach for Monitoring and Localization}},
  journal = {International Journal of Technology},
  year    = {2025},
  doi     = {10.14716/ijtech.v16i6.7791},
  url     = {https://doi.org/10.14716/ijtech.v16i6.7791}
}

Related studies in Digital health tools

Similar studies

More on Digital health tools

See all studies in Digital health tools →