ALGORITHM OF DIAGNOSTICS OF LEAF-SHAPED PUSTULESl IN DOG
Bibliographic record
Abstract
The data on the stages of the diagnostic process in a leaf-shaped pustules in dogs is presented, which includes a set of researches (history, clinical research, main, additional diagnostic and differential criteria, decision of the final diagnosis). The primary elements of the diagnostic algorithm are the analysis of anamnestic data on dermatologically diseased dogs, the differentiation of clinical signs of diseases and laboratory diagnosis, which is aimed at carrying out cytological and histological studies to detect acantholytic cells and establish a final diagnosis. The research was carried out on dogs with skin diseases that belonged to residents of Kharkiv and Kirovograd in the period 2017-2018 of the year.On the basis of their own research based on diagnostic tests of dogs with skin diseases, and the analysis of literary sources, an algorithm for diagnosis was developed. leafy pumice in dogs. The primary stage of the diagnosis was based on anamnestic data, a characteristic clinical picture and laboratory diagnostic results. The main diagnostic criteria are: skin itching, skin lesions: pustules that quickly go into erosion and crusty, especially on the paws and head, chronic relapsing flow, the presence of skin diseases in animals by genetic lines (parent-mother), rock predisposition (akita, chow -chau, finnish spits, english cocker spaniels, taxis, cola, sheltie, newfoundland). Compulsory laboratory tests: cytological (strokes, non-degenerative pustules, non-degenerative neutrophils, eosinophils and acantolytic keratinocytes), histological examination of skin biopsies (intraperitoneal and subcortical pustules containing neutrophils, eosinophils and acantolytic keratinocytes), and clinical blood test. Leaf-shaped vagina in dogs is differentiated from the following diseases: sarcopthosis, demodicosis, dirofilariosis, superficial pyoderma, dermatophytosis, subcortical pustular dermatitis, drug dermatitis, dermatomyositis, zinc-dependent dermatosis, skin epithelotropic lymphoma, hepatotoxic syndrome, allergic flea dermatitis. The algorithm of diagnosis of leafy pustules in dogs is developed, which includes the main modern stages of diagnostic research: analysis of anamnestic data on dermatologically diseased dogs, differentiation of clinical signs of diseases and laboratory diagnostics, which is aimed at conducting cytological and histological studies to detect abnormal cells and establish a final diagnosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".