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Record W3120820657 · doi:10.33088/jmk.v7i2.235

PENGARUH TEKNIK PERNAFASAN BUTEYKO TERHADAP PENURUNAN FREKUENSI KEKAMBUHAN ASMA PADA PASIEN PENDERITA ASMA

2018· article· en· W3120820657 on OpenAlexaff
Irfah Baroroh

Bibliographic record

VenueJURNAL MEDIA KESEHATAN · 2018
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsAsthmaMedicineCommunity health centerBreathingInternal medicinePediatricsFamily medicineAnesthesia

Abstract

fetched live from OpenAlex

Asthma is a disease that is very close to the community and has an ever-increasing population. The prevalence of asthma in Indonesia is 3.5 % . Prevalence of asthma in Bengkulu, especially Rejang Lebong in 2012 amount 1.606 people. Higher data in Kampung Delima Working Area Health Center are 182 peoples and theres 53 people (29,12%) feels recurrence. This study aimed to determine the effect of buteyko breathing techniques to decrease the frequency of recurrence of asthma in asthmatics in Kampung Delima Working Area Health Center. This study was pre Experimental design using one group pre and post test. Populations of this study are 182 people. The samples were taken with accidental sampling technique which amounts to 30 people. The distribution of the average frequency of recurrence of asthma before being given Buteyko breathing technique is 3.40 and the average frequency after the Buteyko breathing technique given is 2.07 . Based on the analysis of test data is obtained , which means there is the influence of the Buteyko breathing technique to decrease the frequency of recurrence of asthma in the Work Area Kampung Delima health center (p=0,000).

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.035
GPT teacher head0.303
Teacher spread0.268 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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