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Record W4247881513 · doi:10.33915/etd.1099

Secure telemedicine system for home health care

2000· dissertation· en· W4247881513 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicSoftware Engineering and Design Patterns
Canadian institutionsnot available
FundersCanada Excellence Research Chairs, Government of Canada
KeywordsTelemedicineScalabilityComputer scienceJavaHealth careSoftwareArchitectureWorld Wide WebWeb applicationMultimediaComputer securityDatabaseOperating system

Abstract

fetched live from OpenAlex

This thesis describes a low-cost telemedicine system that provides home based patient care by linking patients with skilled nurses at the home care agency. The system employs compact vital signs sensors and a two-way real-time video conference over telephone lines. It stores the patient's medical records, still images and enforces clinical pathways during the televisits. Physicians, paramedics, and nurses can then have access to these records from anywhere, securely, through a Web browser.;This document discusses the underlying technologies, the features implemented in the prototype, and the methodologies used in developing the software. The prototype uses the Enterprise Java Bean [EJB] architecture and emphasizes security and scalability. Preliminary experience of its use is presented. A performance analysis of the system's behavior if it were scaled up has also been done.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.783
Threshold uncertainty score0.607

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 communication0.0000.000
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 head0.012
GPT teacher head0.318
Teacher spread0.307 · 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

Quick stats

Citations2
Published2000
Admission routes1
Has abstractyes

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