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Record W2996539953 · doi:10.37160/bmi.v13i1.82

SEFT MENURUNKAN TEKANAN DARAH PADA LANSIA HIPERTENSI

2017· article· id· W2996539953 on OpenAlexaff
Gita Nur Fitri, Lilis Lismayanti, Nina Pamela Sari

Bibliographic record

VenueMedia Informasi · 2017
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

The aim of research is to determine the effect of SEFT therapy to the decrease of the blood pressure in the elderly, particularly in the region of Tawang UPTD Puskesmas Tasikmalaya. The method employed was analytic quasi-experimental with pre-test and post-test two group design to analyze the results of experiments after the intervention. The population of all elderly patients between the ages of 60-74 years old who have essential hypertension in the Work Area UPTD Tawang Puskesmas Tasikmalaya are people. Total sample are 15 elderly men and women. Data were collection through digital sphygmomanometer and guide books SEFT therapy. Data analysis consisted of univariate and bivariate using dependent and independent T test. The results of the study showed that there was no difference in systolic blood pressure before and after therapy SEFT on a group of elderly men and a group of elderly women with p value 0.385, but no difference in diastolic blood pressure after treatment SEFT on a group of elderly men and a group of elderly women with p value 0.035. To obtain the optimum result, particulary to the participants with risk factor, they had better implement SEFT earlier before it has been done to its hypertention.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.302
Teacher spread0.266 · 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 designNot applicable
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

Citations1
Published2017
Admission routes1
Has abstractyes

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