These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 34435319)

  • 1. Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke.
    Feng X; Hua Y; Zou J; Jia S; Ji J; Xing Y; Zhou J; Liao J
    Neuroinformatics; 2022 Jul; 20(3):575-585. PubMed ID: 34435319
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
    Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
    JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
    [TBL] [Abstract][Full Text] [Related]  

  • 3. On the interpretability of machine learning-based model for predicting hypertension.
    Elshawi R; Al-Mallah MH; Sakr S
    BMC Med Inform Decis Mak; 2019 Jul; 19(1):146. PubMed ID: 31357998
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation.
    Huang J; Chen H; Deng J; Liu X; Shu T; Yin C; Duan M; Fu L; Wang K; Zeng S
    Front Neurol; 2023; 14():1185447. PubMed ID: 37614971
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100.
    Jiang B; Zhu G; Xie Y; Heit JJ; Chen H; Li Y; Ding V; Eskandari A; Michel P; Zaharchuk G; Wintermark M
    AJNR Am J Neuroradiol; 2021 Jan; 42(2):240-246. PubMed ID: 33414230
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning.
    Brugnara G; Neuberger U; Mahmutoglu MA; Foltyn M; Herweh C; Nagel S; Schönenberger S; Heiland S; Ulfert C; Ringleb PA; Bendszus M; Möhlenbruch MA; Pfaff JAR; Vollmuth P
    Stroke; 2020 Dec; 51(12):3541-3551. PubMed ID: 33040701
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interpretable Machine Learning Model Predicting Early Neurological Deterioration in Ischemic Stroke Patients Treated with Mechanical Thrombectomy: A Retrospective Study.
    Yang T; Hu Y; Pan X; Lou S; Zou J; Deng Q; Zhang Q; Zhou J; Zhu J
    Brain Sci; 2023 Mar; 13(4):. PubMed ID: 37190522
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning.
    Li X; Pan X; Jiang C; Wu M; Liu Y; Wang F; Zheng X; Yang J; Sun C; Zhu Y; Zhou J; Wang S; Zhao Z; Zou J
    Front Neurol; 2020; 11():539509. PubMed ID: 33329298
    [No Abstract]   [Full Text] [Related]  

  • 9. Prediction of subjective cognitive decline after corpus callosum infarction by an interpretable machine learning-derived early warning strategy.
    Xu Y; Sun X; Liu Y; Huang Y; Liang M; Sun R; Yin G; Song C; Ding Q; Du B; Bi X
    Front Neurol; 2023; 14():1123607. PubMed ID: 37416313
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning models improve prediction of large vessel occlusion and mechanical thrombectomy candidacy in acute ischemic stroke.
    Thomas S; de la Pena P; Butler L; Akbilgic O; Heiferman DM; Garg R; Gill R; Serrone JC
    J Clin Neurosci; 2021 Sep; 91():383-390. PubMed ID: 34373056
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
    Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
    JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of outcome prediction model for reperfusion therapy in acute ischemic stroke using nomogram and machine learning.
    Wang Q; Yin J; Xu L; Lu J; Chen J; Chen Y; Wufuer A; Gong T
    Neurol Sci; 2024 Jul; 45(7):3255-3266. PubMed ID: 38277052
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Non-contrast CT radiomics and machine learning for outcomes prediction of patients with acute ischemic stroke receiving conventional treatment.
    Zhang L; Wu J; Yu R; Xu R; Yang J; Fan Q; Wang D; Zhang W
    Eur J Radiol; 2023 Aug; 165():110959. PubMed ID: 37437435
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of machine learning techniques for predicting survival in ovarian cancer.
    Sorayaie Azar A; Babaei Rikan S; Naemi A; Bagherzadeh Mohasefi J; Pirnejad H; Bagherzadeh Mohasefi M; Wiil UK
    BMC Med Inform Decis Mak; 2022 Dec; 22(1):345. PubMed ID: 36585641
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
    Tseng PY; Chen YT; Wang CH; Chiu KM; Peng YS; Hsu SP; Chen KL; Yang CY; Lee OK
    Crit Care; 2020 Jul; 24(1):478. PubMed ID: 32736589
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan.
    Chan MC; Pai KC; Su SA; Wang MS; Wu CL; Chao WC
    BMC Med Inform Decis Mak; 2022 Mar; 22(1):75. PubMed ID: 35337303
    [TBL] [Abstract][Full Text] [Related]  

  • 17. JOURNAL CLUB: Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information.
    Xie Y; Jiang B; Gong E; Li Y; Zhu G; Michel P; Wintermark M; Zaharchuk G
    AJR Am J Roentgenol; 2019 Jan; 212(1):44-51. PubMed ID: 30354266
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke.
    Chen SD; You J; Yang XM; Gu HQ; Huang XY; Liu H; Feng JF; Jiang Y; Wang YJ
    BMC Med Res Methodol; 2022 Jul; 22(1):195. PubMed ID: 35842606
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dynamic Prediction of Mechanical Thrombectomy Outcome for Acute Ischemic Stroke Patients Using Machine Learning.
    Hu Y; Yang T; Zhang J; Wang X; Cui X; Chen N; Zhou J; Jiang F; Zhu J; Zou J
    Brain Sci; 2022 Jul; 12(7):. PubMed ID: 35884744
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy.
    Chiu IM; Zeng WH; Cheng CY; Chen SH; Lin CR
    Diagnostics (Basel); 2021 Jan; 11(1):. PubMed ID: 33419013
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.