Article in Sensors (Basel, Switzerland), 2018. 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.
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
10 authors.
Himar FabeloInstitute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017 Las Palmas, Spain. hfabelo@iuma.ulpgc.es.ORCID 0000-0002-9794-490X
Samuel OrtegaInstitute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017 Las Palmas, Spain. sortega@iuma.ulpgc.es.ORCID 0000-0002-7519-954X
Elizabeth CasseldenWessex Neurological Centre, University Hospital Southampton, Tremona Road, Southampton SO16 6YD, UK. lizziecasselden@doctors.net.uk.
Jane LohWessex Neurological Centre, University Hospital Southampton, Tremona Road, Southampton SO16 6YD, UK. janeloh@nhs.net.
Harry BulstrodeDepartment of Neurosurgery, Addenbrookes Hospital and University of Cambridge, Cambridge CB2 0QQ, UK. hb252@cam.ac.uk.
Ardalan ZolnourianWessex Neurological Centre, University Hospital Southampton, Tremona Road, Southampton SO16 6YD, UK. ardalan.zolnourian@uhs.nhs.uk.
Paul GrundyWessex Neurological Centre, University Hospital Southampton, Tremona Road, Southampton SO16 6YD, UK. paul.grundy@uhs.nhs.uk.
Gustavo M CallicoInstitute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017 Las Palmas, Spain. gustavo@iuma.ulpgc.es.ORCID 0000-0002-3784-5504
Diederik BultersWessex Neurological Centre, University Hospital Southampton, Tremona Road, Southampton SO16 6YD, UK. dbulters@nhs.net.
Roberto SarmientoInstitute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017 Las Palmas, Spain. roberto@iuma.ulpgc.es.
Funding
Agencia Canaria de Investigación, Innovación y Sociedad de la Información POC 2014-2020, Eje 3 Tema Prioritario 74 (85%)Agencia Canaria de Investigación, Innovación y Sociedad de la Información ProID2017010164European Commission 618080Universidad de Las Palmas de Gran Canaria 2016 PhD Training Program for Research Staff
6 · The paper itself
Abstract
The work presented in this paper is focused on the use of spectroscopy to identify the type of tissue of human brain samples employing support vector machine classifiers. Two different spectrometers were used to acquire infrared spectroscopic signatures in the wavenumber range between 1200⁻3500 cm
Indexed as
Support Vector MachineBrain NeoplasmsHumansSensitivity and SpecificitySpectrophotometry, Infraredbrain cancermedical imagingspectroscopysupport vector machinestissue diagnostics
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.
SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples. · full record | OpenQuestion