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Record W2791066151 · doi:10.19070/2332-2977-1700035

Resolution of Some Burn Complications by Homeopathic Medicines

2017· article· en· W2791066151 on OpenAlexaboutno aff
Swami Shraddhamayananda

Bibliographic record

VenueInternational Journal of Clinical Dermatology & Research · 2017
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHomeopathic medicineHomeopathyMedicineTraditional medicineBurn outResolution (logic)Alternative medicineComputer sciencePathologyArtificial intelligence

Abstract

fetched live from OpenAlex

Burn injuries often lead to contracture, hypertrophic changes and hypopigmentation, which not only cause serious disfigurement and functional impairment but are also associated with social isolation, psychosis and depression. This is largely because most of the patients particularly of developing countries could not afford the cost of the conventional sophisticated treatment schedule. Thus in this study I opted to test the efficacy of one homeopathic medicine, which is of extremely low cost, so that general population may follow this new treatment if found effective. The medicine Graphites was selected by me based on my previous experience on treatment of burn cases. This single medicine was used to treat 100 post-burn scar cases with proper case taking, consent and the Vancouver Scar Scale (VSS) scoring, During follow up of the patients, 84 patients showed significant improvement of VSS scoring followed by cure of most of the cases, while only 16 cases did not show any significant change after treatment. Thus my appeal to those patients who remain untreated due to want of money, should follow this simple treatment protocol, and I also assure them that this medicine has got no side effect.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.092
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.322
GPT teacher head0.604
Teacher spread0.282 · 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
Published2017
Admission routes1
Has abstractyes

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