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Record W2025902170 · doi:10.1258/135763306777978489

Health and lifestyle management via interactive TV in patients with severe chronic cardiovascular diseases

2006· article· en· W2025902170 on OpenAlexaff
George E. Karagiannis, Vasileios G. Stamatopoulos, George Roussos, Takis Kotis, Michael Α. Gatzoulis

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2006
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsBrampton Civic Hospital
Fundersnot available
KeywordsUsabilityMedicineSession (web analytics)Blood pressureOxygen saturationPhysical therapyHeart diseaseMedical emergencyEmergency medicineMultimediaInternal medicineComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

A pilot trial of an interactive TV system took place at the Royal Brompton Hospital, involving nine hospitalized and 12 non-hospitalized patients with adult congenital heart disease. Following a short training session, patients took their measurements (blood pressure, ECG measurement, oxygen saturation, bodyweight) and submitted their data through the interactive TV system. The majority perceived the system as useful, efficient and appropriate for use with their condition (67%), and they were satisfied with the usability of the system (71%). They considered that the information provided by the system was easy to understand and they liked using the system (62%). Overall, most patients (20) were satisfied with the system. The majority of the participants did not feel that the system affected their relationship with their doctor.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.004
GPT teacher head0.258
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations8
Published2006
Admission routes1
Has abstractyes

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