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Evolution of Home Hemodialysis Monitoring Systems

2003· article· en· W2117111893 on OpenAlexvenueno aff
José A. Díaz-Buxó, Christian Schlaeper, Denise VanValkenburgh

Bibliographic record

VenueHemodialysis International · 2003
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsHemodialysisMedicineHome hemodialysisRemote patient monitoringMedical emergencyHome dialysisData transmissionTransmission (telecommunications)Telephone lineTelecommunicationsIntensive care medicineComputer scienceTelephone networkComputer networkSurgeryNursing

Abstract

fetched live from OpenAlex

Systems for monitoring hemodialysis patients at home have evolved during the past 30 years. They consist of hardware and software to record dialysis events from the home hemodialysis machine and transmit them to a server, which in turn sends the data to a remote central monitoring center. Most of the parameters monitored are related to machine function and events. At present, the only commonly monitored patient vital functions are pulse and blood pressure. The early systems used direct telephone lines and modem for telecommunication. The use of Internet links reduces the cost of the service and provides fast and safe transmission of the data. The actual value of these monitoring systems, the need for additional monitoring options, indications for specific groups of patients dialyzing at home, and acceptance by patients, physicians, and regulators will require further evaluation.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.263
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2003
Admission routes1
Has abstractyes

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