BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 33739856)

  • 1. Clinical Data Prediction Model to Identify Patients With Early-Stage Pancreatic Cancer.
    Chen Q; Cherry DR; Nalawade V; Qiao EM; Kumar A; Lowy AM; Simpson DR; Murphy JD
    JCO Clin Cancer Inform; 2021 Mar; 5():279-287. PubMed ID: 33739856
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Early Diagnosis of Pancreatic Cancer via Machine Learning Analysis of a National Electronic Medical Record Database.
    Matchaba S; Fellague-Chebra R; Purushottam P; Johns A
    JCO Clin Cancer Inform; 2023 Sep; 7():e2300076. PubMed ID: 37816199
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.
    Malhotra A; Rachet B; Bonaventure A; Pereira SP; Woods LM
    PLoS One; 2021; 16(6):e0251876. PubMed ID: 34077433
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records.
    Hjaltelin JX; Novitski SI; Jørgensen IF; Siggaard T; Vulpius SA; Westergaard D; Johansen JS; Chen IM; Juhl Jensen L; Brunak S
    Elife; 2023 Nov; 12():. PubMed ID: 37988407
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine.
    Wang X; Zhang Y; Hao S; Zheng L; Liao J; Ye C; Xia M; Wang O; Liu M; Weng CH; Duong SQ; Jin B; Alfreds ST; Stearns F; Kanov L; Sylvester KG; Widen E; McElhinney DB; Ling XB
    J Med Internet Res; 2019 May; 21(5):e13260. PubMed ID: 31099339
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer.
    Park J; Artin MG; Lee KE; Pumpalova YS; Ingram MA; May BL; Park M; Hur C; Tatonetti NP
    J Biomed Inform; 2022 Jul; 131():104095. PubMed ID: 35598881
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records.
    Kenner BJ; Abrams ND; Chari ST; Field BF; Goldberg AE; Hoos WA; Klimstra DS; Rothschild LJ; Srivastava S; Young MR; Go VLW
    Pancreas; 2021 Aug; 50(7):916-922. PubMed ID: 34629446
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.
    Yuan Q; Cai T; Hong C; Du M; Johnson BE; Lanuti M; Cai T; Christiani DC
    JAMA Netw Open; 2021 Jul; 4(7):e2114723. PubMed ID: 34232304
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data.
    Jia K; Kundrot S; Palchuk MB; Warnick J; Haapala K; Kaplan ID; Rinard M; Appelbaum L
    EBioMedicine; 2023 Dec; 98():104888. PubMed ID: 38007948
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
    Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
    J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting urinary tract infections in the emergency department with machine learning.
    Taylor RA; Moore CL; Cheung KH; Brandt C
    PLoS One; 2018; 13(3):e0194085. PubMed ID: 29513742
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records.
    Shao Y; Zeng QT; Chen KK; Shutes-David A; Thielke SM; Tsuang DW
    BMC Med Inform Decis Mak; 2019 Jul; 19(1):128. PubMed ID: 31288818
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study.
    Anderson AE; Kerr WT; Thames A; Li T; Xiao J; Cohen MS
    J Biomed Inform; 2016 Apr; 60():162-8. PubMed ID: 26707455
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.
    Chen C; Yang D; Gao S; Zhang Y; Chen L; Wang B; Mo Z; Yang Y; Hei Z; Zhou S
    Respir Res; 2021 Mar; 22(1):94. PubMed ID: 33789673
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
    Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
    Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Novelelectronic health records applied for prediction of pre-eclampsia: Machine-learning algorithms.
    Li YX; Shen XP; Yang C; Cao ZZ; Du R; Yu MD; Wang JP; Wang M
    Pregnancy Hypertens; 2021 Dec; 26():102-109. PubMed ID: 34739939
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning models in breast cancer survival prediction.
    Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
    Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning algorithm for early detection of end-stage renal disease.
    Segal Z; Kalifa D; Radinsky K; Ehrenberg B; Elad G; Maor G; Lewis M; Tibi M; Korn L; Koren G
    BMC Nephrol; 2020 Nov; 21(1):518. PubMed ID: 33246427
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated detection of substance use information from electronic health records for a pediatric population.
    Ni Y; Bachtel A; Nause K; Beal S
    J Am Med Inform Assoc; 2021 Sep; 28(10):2116-2127. PubMed ID: 34333636
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.