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Record W4256348235 · doi:10.1186/s12919-018-0157-2

Abstracts from the 7th International Conference for Healthcare and Medical Students (ICHAMS)

2018· article· en· W4256348235 on OpenAlexaff

Bibliographic record

VenueBMC Proceedings · 2018
Typearticle
Languageen
FieldMedicine
TopicAdvances in Oncology and Radiotherapy
Canadian institutionsThrombosis and Atherosclerosis Research InstituteAlberta Children's HospitalWestern UniversityUniversity of TorontoUniversity Health NetworkToronto East General HospitalPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineHealth careMedical educationFamily medicinePolitical science

Abstract

fetched live from OpenAlex

MethodsThe study focused on 82 patients with normal weight and/or with abdominal obesity, ambulatory care, Caucasians, aged 16 to 49 years old, IMC>28.The patients were studied between November 2015 and May 2017 and the ratio of women to men was 3/1.Clinical and biochemical parameters were evaluated to appreciate the cardiovascular and diabetes risk profile, neurological and cardio-respiratory functional investigations were performed, as well as the psychological evaluation (DSM-IV questionnaire.The final results have been interpreted statistically and cognitive-behavioral therapy has also been applied. ResultsThe results obtained from the study cases have been divided based on the personality type.85.2% of the patients have eating disorders and 26% present moderate and high cardiovascular risk in the next 10 years, women between 30 and 49 years old being the majority.Discussion A multidisciplinary approach can change eating behavior on a long term.The maximum effectiveness on cognitive behavioral therapy (CBT) could easily be observed on the group studies centered on self-affirmation development.Metabolic profile has also been improved, due to CBT.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.241
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.048
GPT teacher head0.435
Teacher spread0.387 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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