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 *

155 related articles for article (PubMed ID: 33634169)

  • 21. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
    Taylor RA; Pare JR; Venkatesh AK; Mowafi H; Melnick ER; Fleischman W; Hall MK
    Acad Emerg Med; 2016 Mar; 23(3):269-78. PubMed ID: 26679719
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Venous Thrombosis Risk after Cast Immobilization of the Lower Extremity: Derivation and Validation of a Clinical Prediction Score, L-TRiP(cast), in Three Population-Based Case-Control Studies.
    Nemeth B; van Adrichem RA; van Hylckama Vlieg A; Bucciarelli P; Martinelli I; Baglin T; Rosendaal FR; le Cessie S; Cannegieter SC
    PLoS Med; 2015 Nov; 12(11):e1001899; discussion e1001899. PubMed ID: 26554832
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Can machine-learning improve cardiovascular risk prediction using routine clinical data?
    Weng SF; Reps J; Kai J; Garibaldi JM; Qureshi N
    PLoS One; 2017; 12(4):e0174944. PubMed ID: 28376093
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status.
    Gola D; Erdmann J; Müller-Myhsok B; Schunkert H; König IR
    Genet Epidemiol; 2020 Mar; 44(2):125-138. PubMed ID: 31922285
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study.
    Baskaran L; Ying X; Xu Z; Al'Aref SJ; Lee BC; Lee SE; Danad I; Park HB; Bathina R; Baggiano A; Beltrama V; Cerci R; Choi EY; Choi JH; Choi SY; Cole J; Doh JH; Ha SJ; Her AY; Kepka C; Kim JY; Kim JW; Kim SW; Kim W; Lu Y; Kumar A; Heo R; Lee JH; Sung JM; Valeti U; Andreini D; Pontone G; Han D; Villines TC; Lin F; Chang HJ; Min JK; Shaw LJ
    PLoS One; 2020; 15(6):e0233791. PubMed ID: 32584909
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Coronary Artery Disease Monitoring Model Built from Clinical Data and Alpha-1-Antichymotrypsin.
    Chang CC; Tsai IJ; Shen WC; Chen HY; Hsu PW; Lin CY
    Diagnostics (Basel); 2022 Jun; 12(6):. PubMed ID: 35741224
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.
    Johnson KM; Johnson HE; Zhao Y; Dowe DA; Staib LH
    Radiology; 2019 Aug; 292(2):354-362. PubMed ID: 31237495
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predictive Modeling for Blood Transfusion After Adult Spinal Deformity Surgery: A Tree-Based Machine Learning Approach.
    Durand WM; DePasse JM; Daniels AH
    Spine (Phila Pa 1976); 2018 Aug; 43(15):1058-1066. PubMed ID: 29215501
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts.
    Oguz C; Sen SK; Davis AR; Fu YP; O'Donnell CJ; Gibbons GH
    BMC Syst Biol; 2017 Oct; 11(1):99. PubMed ID: 29073909
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation.
    Hae H; Kang SJ; Kim WJ; Choi SY; Lee JG; Bae Y; Cho H; Yang DH; Kang JW; Lim TH; Lee CH; Kang DY; Lee PH; Ahn JM; Park DW; Lee SW; Kim YH; Lee CW; Park SW; Park SJ
    PLoS Med; 2018 Nov; 15(11):e1002693. PubMed ID: 30422987
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Development and Validation of a Machine Learning Algorithm for Predicting Response to Anticholinergic Medications for Overactive Bladder Syndrome.
    Sheyn D; Ju M; Zhang S; Anyaeche C; Hijaz A; Mangel J; Mahajan S; Conroy B; El-Nashar S; Ray S
    Obstet Gynecol; 2019 Nov; 134(5):946-957. PubMed ID: 31599833
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry.
    Goyal A; Ngufor C; Kerezoudis P; McCutcheon B; Storlie C; Bydon M
    J Neurosurg Spine; 2019 Oct; 31(4):568-578. PubMed ID: 31174185
    [TBL] [Abstract][Full Text] [Related]  

  • 33. External validation and extension of a diagnostic model for obstructive coronary artery disease: a cross-sectional predictive evaluation in 4888 patients of the Austrian Coronary Artery disease Risk Determination In Innsbruck by diaGnostic ANgiography (CARDIIGAN) cohort.
    Edlinger M; Wanitschek M; Dörler J; Ulmer H; Alber HF; Steyerberg EW
    BMJ Open; 2017 Apr; 7(4):e014467. PubMed ID: 28389492
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine Learning to Predict Contrast-Induced Acute Kidney Injury in Patients With Acute Myocardial Infarction.
    Sun L; Zhu W; Chen X; Jiang J; Ji Y; Liu N; Xu Y; Zhuang Y; Sun Z; Wang Q; Zhang F
    Front Med (Lausanne); 2020; 7():592007. PubMed ID: 33282893
    [No Abstract]   [Full Text] [Related]  

  • 35. Machine Learning-based Algorithm Enables the Exclusion of Obstructive Coronary Artery Disease in the Patients Who Underwent Coronary Artery Calcium Scoring.
    Głowacki J; Krysiński M; Czaja-Ziółkowska M; Wasilewski J
    Acad Radiol; 2020 Oct; 27(10):1416-1421. PubMed ID: 31839566
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data.
    Orchard P; Agakova A; Pinnock H; Burton CD; Sarran C; Agakov F; McKinstry B
    J Med Internet Res; 2018 Sep; 20(9):e263. PubMed ID: 30249589
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease.
    Stuckey T; Meine F; McMinn T; Depta JP; Bennett B; McGarry T; Carroll W; Suh D; Steuter JA; Roberts M; Gillins HR; Lange E; Fathieh F; Burton T; Khosousi A; Shadforth I; Sanders WE; Rabbat MG
    Front Cardiovasc Med; 2022; 9():956147. PubMed ID: 36119746
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Prediction of Incident Delirium Using a Random Forest classifier.
    Corradi JP; Thompson S; Mather JF; Waszynski CM; Dicks RS
    J Med Syst; 2018 Nov; 42(12):261. PubMed ID: 30430256
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting coronary artery disease: a comparison between two data mining algorithms.
    Ayatollahi H; Gholamhosseini L; Salehi M
    BMC Public Health; 2019 Apr; 19(1):448. PubMed ID: 31035958
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting hypertension using machine learning: Findings from Qatar Biobank Study.
    AlKaabi LA; Ahmed LS; Al Attiyah MF; Abdel-Rahman ME
    PLoS One; 2020; 15(10):e0240370. PubMed ID: 33064740
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.