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Record W2977713413 · doi:10.15406/ijmboa.2019.04.00101

Diagnosis and follow-up of a Plasmodium vivax malaria case through the Sysmex XT-1800i® hematology analyzer

2019· article· en· W2977713413 on OpenAlexaff
Adrián Fallas-Mora, Ivannia Cordero-Montero, María Fernanda Sánchez-Barahona, Lizbeth Alfaro-Arroyo, Gabriela Cruz-Chavarría, Lorely Blanco-Chaves, Andrea Rodriguez-Díaz

Bibliographic record

VenueInternational Journal of Molecular Biology Open Access · 2019
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsCanadian Society of Microbiologists
Fundersnot available
KeywordsHematology analyzerPlasmodium vivaxMalariaMedicineInternal medicineHematologyVivax malariaPathologyPlasmodium falciparum

Abstract

fetched live from OpenAlex

Malaria is one of the most important parasitic diseases in the world. It is caused by parasites of the genus Plasmodium sp., which enter humans through the bite of mosquitoes of the genus Anopheles. Automated hematology analyzers based on flow cytometry have been widely used to aid in the diagnosis of malaria, based on the existence of alterations in the scatter plots that suggest the presence of parasites of the genus Plasmodium. The case of a 55-year-old male patient is presented, worker from a Costa Rican rural zone, correlating the alterations in channel DIFF and WBC/BASO of the Sysmex XT-1800i® hematological analyzer with what was found in the thick drop. The objective of this case report is to demonstrate the utility of hematological analyzers in the detection of relapses, reinfections and follow-up in patients diagnosed with malaria.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.397
Teacher spread0.370 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2019
Admission routes1
Has abstractyes

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