BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

174 related articles for article (PubMed ID: 31112417)

  • 21. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
    Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
    BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Baseline Characteristics Predicting Very Good Outcome of Allogeneic Hematopoietic Cell Transplantation in Young Patients With High Cytogenetic Risk Chronic Lymphocytic Leukemia - A Retrospective Analysis From the Chronic Malignancies Working Party of the EBMT.
    van Gelder M; Ziagkos D; de Wreede L; van Biezen A; Dreger P; Gramatzki M; Stelljes M; Andersen NS; Schaap N; Vitek A; Beelen D; Lindström V; Finke J; Passweg J; Eder M; Machaczka M; Delgado J; Krüger W; Raida L; Socié G; Jindra P; Afanasyev B; Wagner E; Chalandon Y; Henseler A; Schoenland S; Kröger N; Schetelig J;
    Clin Lymphoma Myeloma Leuk; 2017 Oct; 17(10):667-675.e2. PubMed ID: 28694085
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
    Dinh A; Miertschin S; Young A; Mohanty SD
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.
    Maniruzzaman M; Rahman MJ; Al-MehediHasan M; Suri HS; Abedin MM; El-Baz A; Suri JS
    J Med Syst; 2018 Apr; 42(5):92. PubMed ID: 29637403
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Risk factors associated with Richter's transformation in patients with chronic lymphocytic leukaemia: protocol for a retrospective population-based cohort study.
    Hleuhel MH; Ben-Dali Y; Da Cunha-Bang C; Brieghel C; Clasen-Linde E; Niemann CU; Andersen MA
    BMJ Open; 2019 Mar; 9(3):e023566. PubMed ID: 30833314
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of lung cancer patient survival via supervised machine learning classification techniques.
    Lynch CM; Abdollahi B; Fuqua JD; de Carlo AR; Bartholomai JA; Balgemann RN; van Berkel VH; Frieboes HB
    Int J Med Inform; 2017 Dec; 108():1-8. PubMed ID: 29132615
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Factors predicting survival in chronic lymphocytic leukemia patients developing Richter syndrome transformation into Hodgkin lymphoma.
    Mauro FR; Galieni P; Tedeschi A; Laurenti L; Del Poeta G; Reda G; Motta M; Gozzetti A; Murru R; Caputo MD; Campanelli M; Frustaci AM; Innocenti I; Raponi S; Guarini A; Morabito F; Foà R; Gentile M
    Am J Hematol; 2017 Jun; 92(6):529-535. PubMed ID: 28295527
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Improving risk-stratification of patients with chronic lymphocytic leukemia using multivariate patient similarity networks.
    Turcsanyi P; Kriegova E; Kudelka M; Radvansky M; Kruzova L; Urbanova R; Schneiderova P; Urbankova H; Papajik T
    Leuk Res; 2019 Apr; 79():60-68. PubMed ID: 30852300
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. 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]  

  • 31. Comparative assessment of prognostic models in chronic lymphocytic leukemia: evaluation in Indian cohort.
    Rani L; Gogia A; Singh V; Kumar L; Sharma A; Kaur G; Gupta R
    Ann Hematol; 2019 Feb; 98(2):437-443. PubMed ID: 30338367
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The prognostic role of HBV infection in chronic lymphocytic leukemia.
    Liang JH; Gao R; Dai JC; Gale RP; Li W; Fan L; Hu ZB; Xu W; Li JY
    J Cancer Res Clin Oncol; 2018 Jul; 144(7):1309-1315. PubMed ID: 29761374
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Application of Machine Learning to Identify Clustering of Cardiometabolic Risk Factors in U.S. Adults.
    Liao X; Kerr D; Morales J; Duncan I
    Diabetes Technol Ther; 2019 May; 21(5):245-253. PubMed ID: 30969131
    [No Abstract]   [Full Text] [Related]  

  • 34. Complex karyotype as a predictor of high-risk chronic lymphocytic leukemia: A single center experience over 12 years.
    Kruzova L; Schneiderova P; Holzerova M; Vatolikova M; Divoka M; Turcsanyi P; Urbanova R; Kudelka M; Radvansky M; Kriegova E; Papajik T; Urbankova H
    Leuk Res; 2019 Oct; 85():106218. PubMed ID: 31476701
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predictive Abilities of Machine Learning Techniques May Be Limited by Dataset Characteristics: Insights From the UNOS Database.
    Miller PE; Pawar S; Vaccaro B; McCullough M; Rao P; Ghosh R; Warier P; Desai NR; Ahmad T
    J Card Fail; 2019 Jun; 25(6):479-483. PubMed ID: 30738152
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.
    Li W; Huang Y; Zhuang BW; Liu GJ; Hu HT; Li X; Liang JY; Wang Z; Huang XW; Zhang CQ; Ruan SM; Xie XY; Kuang M; Lu MD; Chen LD; Wang W
    Eur Radiol; 2019 Mar; 29(3):1496-1506. PubMed ID: 30178143
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.
    Samad MD; Ulloa A; Wehner GJ; Jing L; Hartzel D; Good CW; Williams BA; Haggerty CM; Fornwalt BK
    JACC Cardiovasc Imaging; 2019 Apr; 12(4):681-689. PubMed ID: 29909114
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning.
    Garg R; Prabhakaran S; Holl JL; Luo Y; Faigle R; Kording K; Naidech AM
    J Stroke Cerebrovasc Dis; 2018 Dec; 27(12):3570-3574. PubMed ID: 30201458
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting Clinical Outcomes of Large Vessel Occlusion Before Mechanical Thrombectomy Using Machine Learning.
    Nishi H; Oishi N; Ishii A; Ono I; Ogura T; Sunohara T; Chihara H; Fukumitsu R; Okawa M; Yamana N; Imamura H; Sadamasa N; Hatano T; Nakahara I; Sakai N; Miyamoto S
    Stroke; 2019 Sep; 50(9):2379-2388. PubMed ID: 31409267
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Presence of serum antinuclear antibodies correlating unfavorable overall survival in patients with chronic lymphocytic leukemia.
    Sun Q; Wang L; Zhu HY; Miao Y; Wu W; Liang JH; Cao L; Xia Y; Wu JZ; Wang Y; Wang R; Fan L; Xu W; Li JY
    Chin Med J (Engl); 2019 Mar; 132(5):525-533. PubMed ID: 30741830
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.