BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 34463361)

  • 21. Identification of distinct clinical phenotypes of cardiogenic shock using machine learning consensus clustering approach.
    Wang L; Zhang Y; Yao R; Chen K; Xu Q; Huang R; Mao Z; Yu Y
    BMC Cardiovasc Disord; 2023 Aug; 23(1):426. PubMed ID: 37644414
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Machine Learning in the Diagnosis and Prognostic Prediction of Dental Caries: A Systematic Review.
    Reyes LT; Knorst JK; Ortiz FR; Ardenghi TM
    Caries Res; 2022; 56(3):161-170. PubMed ID: 35636386
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Comparative Prognostic Accuracy of Risk Prediction Models for Cardiogenic Shock.
    Miller RJH; Southern D; Wilton SB; James MT; Har B; Schnell G; van Diepen S; Grant ADM
    J Intensive Care Med; 2020 Dec; 35(12):1513-1519. PubMed ID: 31610748
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Evolving Concepts in Diagnosis and Management of Cardiogenic Shock.
    Bellumkonda L; Gul B; Masri SC
    Am J Cardiol; 2018 Sep; 122(6):1104-1110. PubMed ID: 30072134
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [The Value of Using SCAI Cardiogenic Shock Stages in Predicting Mortality in CICU Patients].
    Danzengzhuoga ; Zhao ZF; Chen M
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 May; 52(3):503-509. PubMed ID: 34018372
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Circulating microparticles are associated with clinical severity of persistent ST-segment elevation myocardial infarction complicated with cardiogenic shock.
    Sionis A; Suades R; Sans-Roselló J; Sánchez-Martínez M; Crespo J; Padró T; Cubedo J; Ferrero-Gregori A; Vila-Perales M; Duran-Cambra A; Badimon L
    Int J Cardiol; 2018 May; 258():249-256. PubMed ID: 29544939
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Diagnostic test accuracy of nutritional tools used to identify undernutrition in patients with colorectal cancer: a systematic review.
    Håkonsen SJ; Pedersen PU; Bath-Hextall F; Kirkpatrick P
    JBI Database System Rev Implement Rep; 2015 May; 13(4):141-87. PubMed ID: 26447079
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Data-driven point-of-care risk model in patients with acute myocardial infarction and cardiogenic shock.
    Helgestad OKL; Povlsen AL; Josiassen J; Möller S; Hassager C; Jensen LO; Holmvang L; Schmidt H; Møller JE; Ravn HB
    Eur Heart J Acute Cardiovasc Care; 2021 Aug; 10(6):668-675. PubMed ID: 34151353
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review.
    Senders JT; Staples PC; Karhade AV; Zaki MM; Gormley WB; Broekman MLD; Smith TR; Arnaout O
    World Neurosurg; 2018 Jan; 109():476-486.e1. PubMed ID: 28986230
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Clinical Outcomes Associated With Acute Mechanical Circulatory Support Utilization in Heart Failure Related Cardiogenic Shock.
    Hernandez-Montfort J; Sinha SS; Thayer KL; Whitehead EH; Pahuja M; Garan AR; Mahr C; Haywood JL; Harwani NM; Schaeffer A; Wencker D; Kanwar M; Vorovich E; Abraham J; Burkhoff D; Kapur NK
    Circ Heart Fail; 2021 May; 14(5):e007924. PubMed ID: 33905259
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Admission hyperglycemia in patients with acute coronary syndrome complicated by cardiogenic shock.
    Jaśkiewicz F; Supeł K; Koniarek W; Zielińska M
    Cardiol J; 2015; 22(3):290-5. PubMed ID: 25428733
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Shock Index More Sensitive Than Cardiogenic Shock in ST-Elevation Myocardial Infarction Treated by Primary Percutaneous Coronary Intervention.
    Hemradj VV; Ottervanger JP; de Boer MJ; Suryapranata H;
    Circ J; 2017 Jan; 81(2):199-205. PubMed ID: 27980279
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine Learning-Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review.
    Muralitharan S; Nelson W; Di S; McGillion M; Devereaux PJ; Barr NG; Petch J
    J Med Internet Res; 2021 Feb; 23(2):e25187. PubMed ID: 33538696
    [TBL] [Abstract][Full Text] [Related]  

  • 35. The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study.
    He F; Page JH; Weinberg KR; Mishra A
    J Med Internet Res; 2022 Jan; 24(1):e31549. PubMed ID: 34951865
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Current clinical management of acute myocardial infarction complicated by cardiogenic shock.
    El Nasasra A; Zeymer U
    Expert Rev Cardiovasc Ther; 2021 Jan; 19(1):41-46. PubMed ID: 33289436
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Temporary mechanical circulatory support in cardiogenic shock.
    Obradovic D; Freund A; Feistritzer HJ; Sulimov D; Loncar G; Abdel-Wahab M; Zeymer U; Desch S; Thiele H
    Prog Cardiovasc Dis; 2021; 69():35-46. PubMed ID: 34801576
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Percutaneous coronary intervention or coronary artery bypass surgery for cardiogenic shock and multivessel coronary artery disease?
    Mehta RH; Lopes RD; Ballotta A; Frigiola A; Sketch MH; Bossone E; Bates ER
    Am Heart J; 2010 Jan; 159(1):141-7. PubMed ID: 20102880
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting Hemodynamic Shock from Thermal Images using Machine Learning.
    Nagori A; Dhingra LS; Bhatnagar A; Lodha R; Sethi T
    Sci Rep; 2019 Jan; 9(1):91. PubMed ID: 30643187
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The mechanical support of cardiogenic shock.
    Rob D; Bělohlávek J
    Curr Opin Crit Care; 2021 Aug; 27(4):440-446. PubMed ID: 33929344
    [TBL] [Abstract][Full Text] [Related]  

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