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Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning

IEEE Transactions on Biomedical Engineering(2021)10.1109/tbme.2021.3139007Source: DataRank Database

Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning is a research paper published in IEEE Transactions on Biomedical Engineering (2021). On theSindex it has a DataRank of 0. It has been cited 40 times.

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Open Access40 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (26 grants)OA: greenTopics (21)IDs (PubMed, PMC)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (15)

Edilberto Amorim ORCID,Jin Jing ORCID,Ona Wu ORCID,Mohammad M. Ghassemi,Jong Woo Lee ORCID

Live enrichment

PubMed:34962860 PMC:PMC9087641

NIH-NINDS

Grant: 1K23NS090900

NIH-NINDS

Grant: 1R01NS102190

NIH-NINDS

Grant: 1R01NS102574

NIH-NINDS

Grant: 1R01NS107291

NIH-NINDS

Grant: T32HL007901

NIH-NINDS

Grant: T90DA22759

NIH-NINDS

Grant: T32EB001680

Epilepsiefonds

Grant: NEF 14-18

NINDS NIH HHS

Grant: R01 NS102574

NINDS NIH HHS

Grant: R01 NS107291

NIDA NIH HHS

Grant: T90 DA022759

NINDS NIH HHS

Grant: R01 NS102190

NINDS NIH HHS

Grant: K23 NS090900

NINDS NIH HHS

Grant: RF1 NS120947

National Institutes of Health

Grant: 5R01NS102574-05

Multimodal Network Connectivity Architecture (MOCA) of the Brain and its Role in the Recovery of Consciousness in Comatose Cardiac Arrest Patients

National Institutes of Health

Grant: 5T32HL007901-28

Training in Sleep, Circadian, and Respiratory Neurobiology

National Institutes of Health

Grant: 5K23NS090900-05

Quantitative Monitoring and Control of Sedation and Pain in the ICU Environment

National Institutes of Health

Grant: 7R01NS102190-06

Investigation of Sleep

National Institutes of Health

Grant: 5T32EB001680-12

Neuroimaging Training Program

National Institutes of Health

Grant: 1R01NS107291-01

Big Data and Deep Learning for the Interictal-Ictal-Injury Continuum

National Institutes of Health

Grant: 5T90DA022759-08

Advanced Multimodal Neuroimaging Training Grant

American Heart Association

Dutch Epilepsy Fund

Massachusetts Institute of Technology-Philips Clinician Award

Society of Critical Care Medicine-Weil

Neurocritical Care Society

greenLicense: other-oa

repositoryhttps://research.utwente.nl/en/publications/14ee4a6f-bb2d-44ba-8eb6-b32b4381706b

publisherhttp://xplorestaging.ieee.org/ielx7/10/9761805/09664244.pdf?arnumber=9664244

repositoryhttps://ris.utwente.nl/ws/files/275752653/Predicting_Neurological_Outcome_from_Electroencephalogram_Dynamics_in_Comatose_Patients_after_Cardiac_Arrest_with_Deep_Learning.pdf

repositoryhttp://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/339092

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9087641

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansComaHeart ArrestElectroencephalographyProspective StudiesDeep Learning

Keywords

Brain modelingMarket researchDeep learningElectroencephalographyCardiac arrestHospitalsIngénierie biomédicaleHeart ArrestNeurologyHumans22/1 OA procedureProspective StudiesComa

Sustainable Development Goals

SDG 3: 3. Good health