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Identifying and Predicting Cognitive Decline Using Multi-Modal Sensor Data and Machine Learning Approach
Aparna Joshi, Jun Ha Chang, Guillermo Basulto-Elias, Shauna Hallmark, Matthew Rizzo, Anuj Sharma. Research square, 2025-06-18
Topic: Brain imaging, connectivity and assessment
Our results demonstrate that the multi-modal classifier achieved strong classification performance (accuracy = 68.64%; precision = 73.97%; F1-score=74.48%), with the highest recall (76.39%) from a model incorporating demographics and driving features, and prediction performance (accuracy = 70.48%; precision = 71.88%; F1-score = 74.80%, recall = 77.97%).
Key findings
- Our results demonstrate that the multi-modal classifier achieved strong classification performance (accuracy = 68.64%; precision = 73.97%; F1-score=74.48%), with the highest recall (76.39%) from a model incorporating demographics and driving features, and prediction performance (accuracy = 70.48%; precision = 71.88%; F1-score = 74.80%, recall = 77.97%).
Study details
- Participants118
- Effect size68.64%; 73.97%; 74.48%
- Evidence strengthLow
How this study scored 16/100
Preprint — not yet peer-reviewed. It scored 33 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for study design and randomised / blinded because the record does not state it. We have no data on times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 20 of the 60 points we could judge it on, which is 33 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 2 / 10 | Tier 4 — not a peer-reviewed journal (Research square) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| 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| Peer-review validation | 4 / 10 | Preprint — not yet peer-reviewed. Hosted on a preprint server. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 2 / 4 | 118 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40585273) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 20 / 60 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 20 of the 60 points we could judge it on is 33 out of 100. |
| Total | 33 / 100 | Capped to 16 because this is not a peer-reviewed article. |
What each of these 20 components measures, and what this score is not →
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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
Joshi, A., Chang, J. H., Basulto-Elias, G., Hallmark, S., Rizzo, M., & Sharma, A. (2025). Identifying and Predicting Cognitive Decline Using Multi-Modal Sensor Data and Machine Learning Approach. Research square. https://doi.org/10.21203/rs.3.rs-6735622/v1
Vancouver
Joshi A, Chang JH, Basulto-Elias G, Hallmark S, Rizzo M, Sharma A. Identifying and Predicting Cognitive Decline Using Multi-Modal Sensor Data and Machine Learning Approach. Research square. 2025. doi:10.21203/rs.3.rs-6735622/v1. PMID: 40585273.
BibTeX
@article{joshi2025-40585273,
author = {Joshi, Aparna and Chang, Jun Ha and Basulto-Elias, Guillermo and Hallmark, Shauna and Rizzo, Matthew and Sharma, Anuj},
title = {{Identifying and Predicting Cognitive Decline Using Multi-Modal Sensor Data and Machine Learning Approach}},
journal = {Research square},
year = {2025},
doi = {10.21203/rs.3.rs-6735622/v1},
pmid = {40585273},
url = {https://doi.org/10.21203/rs.3.rs-6735622/v1}
}