Evidence map›Paper›PMID 31652635›Full record

ArticleBrain sciences2019

Computer-Aided Diagnosis System of Alzheimer's Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD Model.

Lilia Lazli, Mounir Boukadoum, Otmane Ait Mohamed

Abstract read
In one paragraph

Article in Brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors.

Lilia LazliDepartment of Electrical engineering, École de technologie supérieure, ÉTS, University of Quebec, Montreal, QC H3C 1K3, Canada. lilia.lazli.1@ens.etsmtl.ca.
Mounir BoukadoumCoFaMic research Center, Computer Science department, Université du Québec à Montréal, UQAM, University of Quebec, Montreal, QC H3C 3P8, Canada. mounirboukadoum@courrier.uqam.ca.
Otmane Ait MohamedDepartment of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G 1M8, Canada. ait-mohamed@gmail.com.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
Fonds de Recherche du Québec - Nature et Technologies 255325NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Alzheimer’s diseasebias corrected FCM clusteringCAD systemgenetic optimizationmultimodal fusionpossibilistic FCM clusteringSVDD classifiertissue volume quantification

Identifiers

PMID31652635
PMCPMC6826987

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.