BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 34656249)

  • 21. Predicting Early Seizures After Intracerebral Hemorrhage with Machine Learning.
    Bunney G; Murphy J; Colton K; Wang H; Shin HJ; Faigle R; Naidech AM
    Neurocrit Care; 2022 Aug; 37(Suppl 2):322-327. PubMed ID: 35288860
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage.
    Chen Y; Qin C; Chang J; Lyu Y; Zhang Q; Ye Z; Li Z; Tian F; Ma W; Wei J; Feng M; Yao J; Wang R
    Eur Radiol; 2023 Jun; 33(6):4052-4062. PubMed ID: 36472694
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine learning models predict coagulopathy in spontaneous intracerebral hemorrhage patients in ER.
    Zhu F; Pan Z; Tang Y; Fu P; Cheng S; Hou W; Zhang Q; Huang H; Sun Y
    CNS Neurosci Ther; 2021 Jan; 27(1):92-100. PubMed ID: 33249760
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage.
    Nawabi J; Kniep H; Elsayed S; Friedrich C; Sporns P; Rusche T; Böhmer M; Morotti A; Schlunk F; Dührsen L; Broocks G; Schön G; Quandt F; Thomalla G; Fiehler J; Hanning U
    Transl Stroke Res; 2021 Dec; 12(6):958-967. PubMed ID: 33547592
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A Meta-analysis of the Predictive Significance of the Island Sign for Hematoma Expansion in Intracerebral Hemorrhage.
    Zhou L; Jiang Z; Tan G; Wang Z
    World Neurosurg; 2021 Mar; 147():23-28. PubMed ID: 33316482
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Accuracy of swirl sign for predicting hematoma enlargement in intracerebral hemorrhage: a meta-analysis.
    Yu Z; Zheng J; He M; Guo R; Ma L; You C; Li H
    J Neurol Sci; 2019 Apr; 399():155-160. PubMed ID: 30818076
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [A cross-sectional study of early-onset epilepsy of intracerebral hemorrhage and construction of a risk prediction model].
    Bai X; Zhang L; Li H; Guo D; Yin G
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Dec; 34(12):1273-1279. PubMed ID: 36567582
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The Accuracy of the Spot Sign and the Blend Sign for Predicting Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage.
    Zheng J; Yu Z; Xu Z; Li M; Wang X; Lin S; Li H; You C
    Med Sci Monit; 2017 May; 23():2250-2257. PubMed ID: 28498827
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predicting hematoma expansion using machine learning: An exploratory analysis of the ATACH 2 trial.
    Kumar A; Witsch J; Frontera J; Qureshi AI; Oermann E; Yaghi S; Melmed KR
    J Neurol Sci; 2024 Jun; 461():123048. PubMed ID: 38749281
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 3D slicer-based calculation of hematoma irregularity index for predicting hematoma expansion in intracerebral hemorrhage.
    Cao L; Liu M; Wang M; Ding J; Mao K; Liu K; Li S
    BMC Neurol; 2022 Dec; 22(1):452. PubMed ID: 36471307
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Combining Investigation of Imaging Markers (Island Sign and Blend Sign) and Clinical Factors in Predicting Hematoma Expansion of Intracerebral Hemorrhage in the Basal Ganglia.
    Huang YW; Yang MF
    World Neurosurg; 2018 Dec; 120():e1000-e1010. PubMed ID: 30201578
    [TBL] [Abstract][Full Text] [Related]  

  • 32. [Neuroimaging and clinical predictors of hematoma enlargement in spontaneous intracerebral hemorrhage].
    Lu JJ; Ji N; Zhao YL; Wang S; Zhao JZ
    Zhonghua Yi Xue Za Zhi; 2007 Feb; 87(7):438-41. PubMed ID: 17459218
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Imaging and clinical prognostic indicators for early hematoma enlargement after spontaneous intracerebral hemorrhage.
    Ji N; Lu JJ; Zhao YL; Wang S; Zhao JZ
    Neurol Res; 2009 May; 31(4):362-6. PubMed ID: 19508819
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Research on predicting hematoma expansion in spontaneous intracerebral hemorrhage based on deep features of the VGG-19 network.
    Wu F; Wang P; Yang H; Wu J; Liu Y; Yang Y; Zuo Z; Wu T; Li J
    Postgrad Med J; 2024 Mar; ():. PubMed ID: 38507237
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predictive Ability of Ultraearly Hematoma Growth and Spot Sign for Redefined Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage.
    Li J; Liao X; Yu Z; Li H; Zheng J
    J Stroke Cerebrovasc Dis; 2021 Sep; 30(9):105950. PubMed ID: 34214962
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Combination of ultra-early hematoma growth and blend sign for predicting hematoma expansion and functional outcome.
    Yuan L; Shen YQ; Xie XF; Yang WS; Li R; Deng L; Li Q; Xie P
    Clin Neurol Neurosurg; 2020 Feb; 189():105625. PubMed ID: 31835077
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Comparison of the Intracerebral Hemorrhage Score and the Acute Physiology and Chronic Health Evaluation II Score for 30-Day Mortality Prediction in Spontaneous Intracerebral Hemorrhage.
    Pan K; Panwar A; Roy U; Das BK
    J Stroke Cerebrovasc Dis; 2017 Nov; 26(11):2563-2569. PubMed ID: 28684377
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Machine learning applications for the prediction of surgical site infection in neurological operations.
    Tunthanathip T; Sae-Heng S; Oearsakul T; Sakarunchai I; Kaewborisutsakul A; Taweesomboonyat C
    Neurosurg Focus; 2019 Aug; 47(2):E7. PubMed ID: 31370028
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Enlargement of spontaneous intracerebral hemorrhage. Incidence and time course.
    Kazui S; Naritomi H; Yamamoto H; Sawada T; Yamaguchi T
    Stroke; 1996 Oct; 27(10):1783-7. PubMed ID: 8841330
    [TBL] [Abstract][Full Text] [Related]  

  • 40. High fibrinogen to albumin ratio is associated with hematoma enlargement in spontaneous intracerebral hemorrhage.
    Wang Q; Tu Y; Huang Y; Chen L; Lin Y; Zhan L; He J
    J Clin Neurosci; 2022 Dec; 106():37-42. PubMed ID: 36265363
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.