Classification of Stroke Sub-types by Race-Ethnicities in the Stroke Genetics Network with Causative Classification System

被引：0

作者：

Katsnelson, Michael J. ^{[1
]}

Rundek, Tatjana ^{[1
]}

Sacco, Ralph ^{[1
]}

Worrall, Bradford B. ^{[2
]}

Meschia, James F. ^{[3
]}

Ay, Hakan ^{[4
]}

Woo, Daniel ^{[5
]}

Brown, Robert D. ^{[6
]}

Rosand, Jonathan ^{[4
]}

McArdle, Patrick ^{[7
]}

Wassertheil-Smoller, Sylvia ^{[8
]}

Kaplan, Robert ^{[8
]}

Arsava, Ethem M. ^{[4
]}

Anderson, Christopher D. ^{[4
]}

Helenius, Johanna ^{[4
]}

Biffi, Alessandro ^{[4
]}

Kittner, Steven ^{[7
]}

机构：

[1] Univ Miami, Miami, FL USA

[2] Univ Virginia, Charlottesville, VA USA

[3] Mayo Clin, Jacksonville, FL 32224 USA

[4] Massachusetts Gen Hosp, Boston, MA 02114 USA

[5] Univ Cincinnati, Cincinnati, OH USA

[6] Mayo Clin, Rochester, MN USA

[7] Univ Maryland, Baltimore, MD 21201 USA

[8] Einstein Coll Med, Bronx, NY USA

来源：

STROKE | 2013年 / 44卷 / 02期

关键词：

Stroke; Genetics;

D O I：

暂无

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

引用

页数：2

共 50 条

[31] Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique
Zewdie, Elbetel Taye
Tessema, Abel Worku
Simegn, Gizeaddis Lamesgin
[J]. HEALTH AND TECHNOLOGY, 2021, 11 (06) : 1277 - 1290
[32] Classification of stroke disease using convolutional neural network
Marbun, J. T.
Seniman
Andayani, U.
[J]. 2ND INTERNATIONAL CONFERENCE ON COMPUTING AND APPLIED INFORMATICS 2017, 2018, 978
[33] Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique
Elbetel Taye Zewdie
Abel Worku Tessema
Gizeaddis Lamesgin Simegn
[J]. Health and Technology, 2021, 11 : 1277 - 1290
[34] Stroke classification and treatment support system artificial intelligence for usefulness of stroke diagnosis
Miyamoto, Nobukazu
Ueno, Yuji
Yamashiro, Kazuo
Hira, Kenichiro
Kijima, Chikage
Kitora, Naoki
Iwao, Yoshihiko
Okuda, Kayo
Mishima, Shohei
Takahashi, Daisuke
Ono, Kazuto
Asari, Mika
Miyazaki, Kazuki
Hattori, Nobutaka
[J]. FRONTIERS IN NEUROLOGY, 2023, 14
[35] Comparison among demographics, risk factors, clinical manifestations, and outcomes of stroke sub-types: Findings from a Malaysian stroke-ready hospital
Loh, Hong Chuan
Ganasegeran, Kurubaran
Lim, Yi Fang
Looi, Irene
[J]. NEUROLOGY ASIA, 2022, 27 (01) : 25 - 34
[36] Design and Implement a Mobile Badminton Stroke Classification System
Lin, Juyi
Chang, Chia-Wei
Wang, Chih-Hao
Chi, Hong-Chuan
Yi, Chih-Wei
Tseng, Yu-Chee
Wang, Chih-Chuan
[J]. 2017 19TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2017): MANAGING A WORLD OF THINGS, 2017, : 235 - 238
[37] Classification system CASCADE for childhood arterial ischemic stroke
Komarova, I. B.
Zykov, V. P.
[J]. ZHURNAL NEVROLOGII I PSIKHIATRII IMENI S S KORSAKOVA, 2013, 113 (05) : 10 - 15
[38] Automatic classification of non-small cell lung cancer histologic sub-types by deep learning
Casanova, R.
Murina, E.
Haberecker, M.
Honcharova-Biletska, H.
Vrugt, B.
Duerr, O.
Sick, B.
Soltermann, A.
[J]. VIRCHOWS ARCHIV, 2018, 473 : S108 - S108
[39] DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types
Adham Beykikhoshk
Thomas P. Quinn
Samuel C. Lee
Truyen Tran
Svetha Venkatesh
[J]. BMC Medical Genomics, 13
[40] DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types
Beykikhoshk, Adham
Quinn, Thomas P.
Lee, Samuel C.
Truyen Tran
Venkatesh, Svetha
[J]. BMC MEDICAL GENOMICS, 2020, 13 (Suppl 3)

← 1 2 3 4 5 →