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Record W2021235085 · doi:10.4103/0019-5359.31159

Information and communication technology developments in asthma management: A systematic review

2007· review· en· W2021235085 on OpenAlexaff
Venkata R. Duvvuri

Bibliographic record

VenueIndian Journal of Medical Sciences · 2007
Typereview
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsYork University
Fundersnot available
KeywordsInformation and Communications TechnologyMedicineAsthmaICTSAsthma managementKey (lock)Knowledge managementProcess (computing)Information technologyComputer scienceWorld Wide WebImmunology

Abstract

fetched live from OpenAlex

This review aims to explain the progress of information and communication technology (ICT) applications in asthma management. Appropriate literature was printed out from the bibliographic databases and library source using relevant key phrases of ICT and asthma. The ICT developments from simple to complex modules to augment the conventional methods of asthma care with a caution of excessive reliance upon technology were discussed. However, it should be noted ICTs are for maximizing the human clinician's own ability to receive and process information as well as providing unique opportunities for patients, physicians, pharmacists and researchers.

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)0.038
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.432
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0380.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
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 head0.114
GPT teacher head0.517
Teacher spread0.403 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations15
Published2007
Admission routes1
Has abstractyes

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