Evidence map›Paper›PMID 24346930›Full record

ArticleJournal of medical systems2014

A collaboration tool based on SNOCAP-HET.

Martin Kohlmann, Matthias Gietzelt, Nico Jähne-Raden, Michael Marschollek, Bianying Song, Klaus-Hendrik Wolf, Reinhold Haux

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Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Martin KohlmannPeter L. Reichertz Institute for Medical Informatics, University of Braunschweig - Institute of Technology and Hannover Medical School, Braunschweig, Germany, martin.kohlmann@plri.de.
Matthias Gietzelt
Nico Jähne-Raden
Michael Marschollek
Bianying Song
Klaus-Hendrik Wolf
Reinhold Haux

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health enabling technologies and ambient assisted living are important fields in biomedical informatics. In this context, a huge variety of analysis methods are applied. Neither is a suitable structuring of these methods available, nor is an aid known for selecting appropriate methods for a given set of data specifying a context and a problem. The goal of the present paper is to present a prototype of a semantic collaboration tool which is based on the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET). This tool can be seen as a first step towards an assistance system for decision support within SNOCAP-HET. We present aspects of the selection and modeling process of our tool and discuss its benefits and appealing tasks for further research. Moreover we present a number of already planned and some unspecified upcoming steps which should optimize SNOCAP-HET in the future.

Indexed as

Home Care ServicesWireless TechnologyHumansMonitoring, AmbulatoryStatistics as TopicTelemedicineTerminology as Topic

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.