Evidence map›Paper›PMID 37486493›Full record

ArticleAdvances in experimental medicine and biology2023

Application of Machine Learning Techniques in the HELIAD Study Data for the Development of Diagnostic Models in MCI and Dementia.

George A Dimakopoulos, Aristidis G Vrahatis, Themis P Exarchos, Eva Ntanasi, Mary Yannakoulia, Mary H Kosmidis, Efthimios Dardiotis, Georgios Hadjigeorgiou, Paraskevi Sakka, Nikolaos Scarmeas and 1 more

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Article in Advances in experimental medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

George A DimakopoulosBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Aristidis G VrahatisBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Themis P ExarchosBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Eva NtanasiDepartment of Nutrition and Diatetics, Harokopio University, Athens, Greece.
Mary YannakouliaDepartment of Nutrition and Diatetics, Harokopio University, Athens, Greece.
Mary H KosmidisLab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Efthimios DardiotisSchool of Medicine, University of Thessaly, Larissa, Greece.
Georgios HadjigeorgiouDepartment of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus.
Paraskevi SakkaAthens Association of Alzheimer's Disease and Related Disorders, Athens, Greece.
Nikolaos Scarmeas1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece.
Panagiotis VlamosBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece. vlamos@ionio.gr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in the population's life expectancy leads to an increase in the incidence of dementia and, therefore, in diseases such as Alzheimer's. Towards this direction, the HELIAD

Indexed as

Alzheimer DiseaseCognitive DysfunctionBiomarkersDisease ProgressionHumansMachine LearningSensitivity and SpecificityBiomarkersAlzheimer’s diseaseCognitive impairmentDementiaHELIAD studyLifestyleMachine learning

Identifiers

PMID37486493

What OpenQuestion holds

Textmetadata
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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.