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Record W2401993747 · doi:10.3233/978-1-58603-979-0-478

Telehealth-based Framework for Supporting the Treatment of Obstructive Sleep Apnea

2009· article· en· W2401993747 on OpenAlexaff
Mila Kwiatkowska, Andrew Idzikowski, Les Matthews

Bibliographic record

VenueStudies in health technology and informatics · 2009
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsTelehealthObstructive sleep apneaSleep (system call)TelemedicineSleep apneaMedicineComputer scienceIntensive care medicineInternal medicineHealth care

Abstract

fetched live from OpenAlex

We describe an application of a computer-based system and telehealth approach for support of the continuous positive airway pressure (CPAP) treatment for obstructive sleep apnea (OSA). A conceptual framework is introduced that has four major components: patients' education and communication, measurement of patients' adherence, CPAP unit test, and CPAP treatment evaluation. The measurement and evaluation processes are based on a fuzzy logic approach and they use a set of predefined fuzzy rules. The rules are utilized for the calculation of patient's adherence and treatment effectiveness using patients' records, self-reported adherence data, and automatically downloaded data from the CPAP machines. Further, we discuss the need for a telehealth support system for OSA patients in the rural communities and small cities of British Columbia.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.049
GPT teacher head0.413
Teacher spread0.365 · 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 designTheoretical or conceptual
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

Citations5
Published2009
Admission routes1
Has abstractyes

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