BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

122 related articles for article (PubMed ID: 28423765)

  • 21. 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]  

  • 22. Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.
    Sakr S; Elshawi R; Ahmed AM; Qureshi WT; Brawner CA; Keteyian SJ; Blaha MJ; Al-Mallah MH
    BMC Med Inform Decis Mak; 2017 Dec; 17(1):174. PubMed ID: 29258510
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method.
    Gupta A; Slater JJ; Boyne D; Mitsakakis N; Béliveau A; Druzdzel MJ; Brenner DR; Hussain S; Arora P
    Med Decis Making; 2019 Nov; 39(8):1032-1044. PubMed ID: 31619130
    [No Abstract]   [Full Text] [Related]  

  • 24. Intravascular ultrasound-based machine learning for predicting fractional flow reserve in intermediate coronary artery lesions.
    Lee JG; Ko J; Hae H; Kang SJ; Kang DY; Lee PH; Ahn JM; Park DW; Lee SW; Kim YH; Lee CW; Park SW; Park SJ
    Atherosclerosis; 2020 Jan; 292():171-177. PubMed ID: 31809986
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Finding distinctions between oral cancer and periodontitis using saliva metabolites and machine learning.
    Kouznetsova VL; Li J; Romm E; Tsigelny IF
    Oral Dis; 2021 Apr; 27(3):484-493. PubMed ID: 32762095
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.
    Estelles-Lopez L; Ropodi A; Pavlidis D; Fotopoulou J; Gkousari C; Peyrodie A; Panagou E; Nychas GJ; Mohareb F
    Food Res Int; 2017 Sep; 99(Pt 1):206-215. PubMed ID: 28784477
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identifying relatively high-risk group of coronary artery calcification based on progression rate: statistical and machine learning methods.
    Kim HY; Yoo S; Lee J; Kam HJ; Woo KG; Choi YH; Sung J; Kang M
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():2202-5. PubMed ID: 23366360
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project.
    Alghamdi M; Al-Mallah M; Keteyian S; Brawner C; Ehrman J; Sakr S
    PLoS One; 2017; 12(7):e0179805. PubMed ID: 28738059
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Prediction of antiepileptic drug treatment outcomes of patients with newly diagnosed epilepsy by machine learning.
    Yao L; Cai M; Chen Y; Shen C; Shi L; Guo Y
    Epilepsy Behav; 2019 Jul; 96():92-97. PubMed ID: 31121513
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A machine learning-based framework to identify type 2 diabetes through electronic health records.
    Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y
    Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model.
    Joloudari JH; Joloudari EH; Saadatfar H; GhasemiGol M; Razavi SM; Mosavi A; Nabipour N; Shamshirband S; Nadai L
    Int J Environ Res Public Health; 2020 Jan; 17(3):. PubMed ID: 31979257
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Site specific prediction of atherosclerotic plaque progression using computational biomechanics and machine learning.
    Kigka VI; Sakellarios AI; Tsompou P; Kyriakidis S; Siogkas P; Andrikos I; Michalis LK; Fotiadis DI
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6998-7001. PubMed ID: 31947449
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Evaluating Machine Learning Methods of Analyzing Multiclass Metabolomics.
    Gong Y; Ding W; Wang P; Wu Q; Yao X; Yang Q
    J Chem Inf Model; 2023 Dec; 63(24):7628-7641. PubMed ID: 38079572
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.
    Mortazavi BJ; Bucholz EM; Desai NR; Huang C; Curtis JP; Masoudi FA; Shaw RE; Negahban SN; Krumholz HM
    JAMA Netw Open; 2019 Jul; 2(7):e196835. PubMed ID: 31290991
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.
    Mendez KM; Reinke SN; Broadhurst DI
    Metabolomics; 2019 Nov; 15(12):150. PubMed ID: 31728648
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine learning algorithm-based risk prediction model of coronary artery disease.
    Naushad SM; Hussain T; Indumathi B; Samreen K; Alrokayan SA; Kutala VK
    Mol Biol Rep; 2018 Oct; 45(5):901-910. PubMed ID: 29995270
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Machine learning-based coronary artery disease diagnosis: A comprehensive review.
    Alizadehsani R; Abdar M; Roshanzamir M; Khosravi A; Kebria PM; Khozeimeh F; Nahavandi S; Sarrafzadegan N; Acharya UR
    Comput Biol Med; 2019 Aug; 111():103346. PubMed ID: 31288140
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.
    Choi J; Choi J; Choi WJ
    Stud Health Technol Inform; 2018; 250():265. PubMed ID: 29857458
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparing different supervised machine learning algorithms for disease prediction.
    Uddin S; Khan A; Hossain ME; Moni MA
    BMC Med Inform Decis Mak; 2019 Dec; 19(1):281. PubMed ID: 31864346
    [TBL] [Abstract][Full Text] [Related]  

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