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Dementia Care : Literature Survey and Design

2024· article· en· W4398163864 on OpenAlexaff
Neha Jadhav, NA Jayapriya, S Keerthana, P Nikhitha, Nithya Santhoshini N

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicIoT and Edge/Fog Computing
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsDementiaComputer scienceUploadXMLWorld Wide WebHuman–computer interactionMultimediaMedicine

Abstract

fetched live from OpenAlex

The proposed system is geared towards supporting individuals grappling with dementia by introducing a virtual memory application that facilitates the storage and retrieval of memories as memory loss advances. The primary objective is to enhance the lifestyle for both patients with dementia and their caregivers, addressing the isolating and frustrating nature of dementia. Accessible through an application, the system enables users, including patients and their guardians, to effortlessly store and retrieve memories. Each patient is assigned a unique QR code, which, when scanned, provides essential details, including medical condition, personal information, and contact details for guardians. The system is comprised of three main modules. New patients can register on the system by completing a form that collects necessary details. The provided information is then verified and uploaded to the MySQL database. The front end is developed using HTML, CSS, and XML, while the back-end is implemented in Java. By providing an intuitive platform for memory storage, dementia stage analysis, and educational resources, the proposed system aims to alleviate stress and improves interaction between patients and their caregivers. This initiative aligns with research indicating that cognitive stimulation activities may potentially slow the progression of dementia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.249
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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