scholarly article | Q13442814 |
P50 | author | Jinjin Liu | Q87866157 |
P2093 | author name string | Li Lan | |
Qian Chen | |||
Tingting Zhang | |||
Qun Huang | |||
Weijian Chen | |||
Yunjun Yang | |||
Jiawen Song | |||
Haoli Xu | |||
Yanxuan Li | |||
Wenshuang Sheng | |||
Dingpin Huang | |||
P2860 | cites work | Support vector machine classification and validation of cancer tissue samples using microarray expression data | Q31835844 |
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Efficacy and safety of recombinant activated factor VII for acute intracerebral hemorrhage | Q34778643 | ||
Smoking and risk of hemorrhagic stroke in women | Q35582776 | ||
Intraventricular Hemorrhage and Early Hematoma Expansion in Patients with Intracerebral Hemorrhage | Q35754553 | ||
Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH) II: design, methods, and rationale | Q35922150 | ||
Leakage Sign for Primary Intracerebral Hemorrhage: A Novel Predictor of Hematoma Growth | Q36761519 | ||
CTA spot sign predicts hematoma expansion in patients with delayed presentation after intracerebral hemorrhage | Q37000461 | ||
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Intracerebral Hematoma Morphologic Appearance on Noncontrast Computed Tomography Predicts Significant Hematoma Expansion. | Q38955047 | ||
Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign (PREDICT): a prospective observational study | Q39642737 | ||
Warfarin use leads to larger intracerebral hematomas | Q41871107 | ||
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Ultrasound Characterization of Bone Demineralization Using a Support Vector Machine | Q47172815 | ||
Extradural hematomas: measurement of size by volume summation on CT scanning | Q47244659 | ||
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Volume of ventricular blood is an important determinant of outcome in supratentorial intracerebral hemorrhage. | Q48239118 | ||
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Random forest can predict 30-day mortality of spontaneous intracerebral hemorrhage with remarkable discrimination. | Q51723578 | ||
Black Hole Sign: Novel Imaging Marker That Predicts Hematoma Growth in Patients With Intracerebral Hemorrhage. | Q52982985 | ||
Quantitative CT densitometry for predicting intracerebral hemorrhage growth. | Q53125191 | ||
Contrast extravasation predicts hematoma growth: where to now? | Q53409902 | ||
Blend Sign on Computed Tomography: Novel and Reliable Predictor for Early Hematoma Growth in Patients With Intracerebral Hemorrhage. | Q53462203 | ||
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The Second (Main) Phase of an Open, Randomised, Multicentre Study to Investigate the Effectiveness of an Intensive Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (Interact2) | Q57781040 | ||
Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortality | Q72808879 | ||
Spontaneous intracerebral hemorrhage | Q73862624 | ||
The ABCs of accurate volumetric measurement of cerebral hematoma | Q84087158 | ||
P4510 | describes a project that uses | support vector machine | Q282453 |
scikit-image | Q22442795 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | support vector machine | Q282453 |
P304 | page(s) | 454-459 | |
P577 | publication date | 2019-05-03 | |
P1433 | published in | EBioMedicine | Q24912341 |
P1476 | title | Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine | |
P478 | volume | 43 |
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