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 *

374 related articles for article (PubMed ID: 30738152)

  • 41. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
    Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
    Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Machine Learning-Based Model for Prediction of Outcomes in Acute Stroke.
    Heo J; Yoon JG; Park H; Kim YD; Nam HS; Heo JH
    Stroke; 2019 May; 50(5):1263-1265. PubMed ID: 30890116
    [TBL] [Abstract][Full Text] [Related]  

  • 43. 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]  

  • 44. Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne
    Zewdie GK; Lary DJ; Levetin E; Garuma GF
    Int J Environ Res Public Health; 2019 Jun; 16(11):. PubMed ID: 31167504
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.
    Ahmad T; Lund LH; Rao P; Ghosh R; Warier P; Vaccaro B; Dahlström U; O'Connor CM; Felker GM; Desai NR
    J Am Heart Assoc; 2018 Apr; 7(8):. PubMed ID: 29650709
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Machine-Learning vs. Expert-Opinion Driven Logistic Regression Modelling for Predicting 30-Day Unplanned Rehospitalisation in Preterm Babies: A Prospective, Population-Based Study (EPIPAGE 2).
    Reed RA; Morgan AS; Zeitlin J; Jarreau PH; Torchin H; Pierrat V; Ancel PY; Khoshnood B
    Front Pediatr; 2020; 8():585868. PubMed ID: 33614539
    [No Abstract]   [Full Text] [Related]  

  • 47. 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]  

  • 48. An extensive experimental survey of regression methods.
    Fernández-Delgado M; Sirsat MS; Cernadas E; Alawadi S; Barro S; Febrero-Bande M
    Neural Netw; 2019 Mar; 111():11-34. PubMed ID: 30654138
    [TBL] [Abstract][Full Text] [Related]  

  • 49. 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]  

  • 50. Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database.
    Chen-Ying Hung ; Wei-Chen Chen ; Po-Tsun Lai ; Ching-Heng Lin ; Chi-Chun Lee
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3110-3113. PubMed ID: 29060556
    [TBL] [Abstract][Full Text] [Related]  

  • 51. A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population.
    Chowdhury MZI; Leung AA; Walker RL; Sikdar KC; O'Beirne M; Quan H; Turin TC
    Sci Rep; 2023 Jan; 13(1):13. PubMed ID: 36593280
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury.
    Gravesteijn BY; Nieboer D; Ercole A; Lingsma HF; Nelson D; van Calster B; Steyerberg EW;
    J Clin Epidemiol; 2020 Jun; 122():95-107. PubMed ID: 32201256
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Prediction of 1-year mortality after heart transplantation using machine learning approaches: A single-center study from China.
    Zhou Y; Chen S; Rao Z; Yang D; Liu X; Dong N; Li F
    Int J Cardiol; 2021 Sep; 339():21-27. PubMed ID: 34271025
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study.
    Mufti HN; Hirsch GM; Abidi SR; Abidi SSR
    JMIR Med Inform; 2019 Oct; 7(4):e14993. PubMed ID: 31558433
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Mortality, Resource Utilization, and Inpatient Costs Vary Among Pediatric Heart Transplant Indications: A Merged Data Set Analysis From the United Network for Organ Sharing and Pediatric Health Information Systems Databases.
    Burstein DS; Li Y; Getz KD; Huang YV; Rossano JW; O'Connor MJ; Lin KY; Aplenc R
    J Card Fail; 2019 Jan; 25(1):27-35. PubMed ID: 30485789
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the "large N, small p" setting.
    Austin PC; Harrell FE; Steyerberg EW
    Stat Methods Med Res; 2021 Jun; 30(6):1465-1483. PubMed ID: 33848231
    [TBL] [Abstract][Full Text] [Related]  

  • 57. 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]  

  • 58. Development and international validation of logistic regression and machine-learning models for the prediction of 10-year molar loss.
    Troiano G; Nibali L; Petsos H; Eickholz P; Saleh MHA; Santamaria P; Jian J; Shi S; Meng H; Zhurakivska K; Wang HL; Ravidà A
    J Clin Periodontol; 2023 Mar; 50(3):348-357. PubMed ID: 36305042
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.
    Churpek MM; Yuen TC; Winslow C; Meltzer DO; Kattan MW; Edelson DP
    Crit Care Med; 2016 Feb; 44(2):368-74. PubMed ID: 26771782
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Classifying injury narratives of large administrative databases for surveillance-A practical approach combining machine learning ensembles and human review.
    Marucci-Wellman HR; Corns HL; Lehto MR
    Accid Anal Prev; 2017 Jan; 98():359-371. PubMed ID: 27863339
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 19.