Machine Learning Predicts Sex Difference in Acute Ischemic Stroke

被引:0
|
作者
Lai, Yun-Ju [1 ]
Blixt, Frank W. [1 ]
McCullough, Louise D. [1 ]
机构
[1] UTHealth, Neurol, Houston, TX USA
关键词
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
AWP343
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Quantifying the Impact of Chronic Ischemic Injury on Clinical Outcomes in Acute Stroke With Machine Learning
    Mah, Yee-Haur
    Nachev, Parashkev
    MacKinnon, Andrew D.
    FRONTIERS IN NEUROLOGY, 2020, 11
  • [22] Machine learning is a valid method for predicting prehospital delay after acute ischemic stroke
    Yang, Li
    Liu, Qinqin
    Zhao, Qiuli
    Zhu, Xuemei
    Wang, Ling
    BRAIN AND BEHAVIOR, 2020, 10 (10):
  • [23] Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke
    Mazza, Orit
    Shehory, Onn
    Lev, Nirit
    FRONTIERS IN NEUROLOGY, 2022, 12
  • [24] Prediction of early neurological deterioration in acute minor ischemic stroke by machine learning algorithms
    Sung, Sang Min
    Kang, Yoon Jung
    Cho, Han Jin
    Kim, Nae Ri
    Lee, Suk Min
    Choi, Byung Kwan
    Cho, Giphil
    CLINICAL NEUROLOGY AND NEUROSURGERY, 2020, 195
  • [25] Influence of Sex Difference on Distribution of Risk Factors and Etiologic Subtypes of Acute Ischemic Stroke: Reality of Facts
    Zafar, Azra
    Nazish, Saima
    Shahid, Rizwana
    Alkhamis, Fahd A.
    Albakr, Aishah, I
    Aljaafari, Danah
    Shariff, Erum M.
    Alshamrani, Foziah J. G.
    Alabdali, Majed
    NEUROLOGY INDIA, 2020, 68 (05) : 1073 - 1078
  • [26] Sex Differences in Tryptophan Metabolism in Acute Ischemic Stroke
    Dylla, Layne
    Klawitter, Jelena
    Clendenen, Nathan J.
    Rice, John D.
    Poisson, Sharon N.
    Herson, Paco S.
    Ginde, Adit A.
    Monte, Andrew A.
    JOURNAL OF WOMENS HEALTH, 2022, 31 (10) : A10 - A10
  • [27] Sex differences in thrombosis as it affects acute ischemic stroke
    Nimjee, Shahid M.
    Akhter, Asad S.
    Zakeri, Amanda
    Herson, Paco S.
    NEUROBIOLOGY OF DISEASE, 2022, 165
  • [28] CTBRAIN MACHINE LEARNING PREDICTS STROKE THROMBOLYSIS RESULT
    Epton, Sarah
    Bentley, Paul
    Ganesalingam, Jeban
    Dias, Anomas
    Mahady, Kate
    Rinne, Paul
    Sharma, Pankaj
    Halse, Omid
    Mehta, Amrish
    Rueckert, Daniel
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2014, 85 (10):
  • [29] Early Time to Presentation in Acute Ischemic Stroke Predicts Delay to IA Therapy in Acute Stroke
    Mehta, Brijesh
    Gupta, Rishi
    Yoo, Albert
    Buell, Hope
    Adamski, Kelly
    Hak, Susana
    Kuo, Sophia
    Bose, Arani
    Sit, Siu Po
    STROKE, 2015, 46
  • [30] Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke
    Kuang, Hulin
    Qiu, Wu
    Boers, Anna M.
    Brown, Scott
    Muir, Keith
    Majoie, Charles B. L. M.
    Dippel, Diederik W. J.
    White, Phil
    Epstein, Jonathan
    Mitchell, Peter J.
    Davalos, Antoni
    Bracard, Serge
    Campbell, Bruce
    Saver, Jeffrey L.
    Jovin, Tudor G.
    Rubiera, Marta
    Khaw, Alexander, V
    Shankar, Jai J.
    Fainardi, Enrico
    Hill, Michael D.
    Demchuk, Andrew M.
    Goyal, Mayank
    Menon, Bijoy K.
    STROKE, 2021, 52 (01) : 223 - 231