BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 34522147)

  • 1. Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania.
    Tarimo CS; Bhuyan SS; Li Q; Ren W; Mahande MJ; Wu J
    Risk Manag Healthc Policy; 2021; 14():3711-3720. PubMed ID: 34522147
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.
    Tarimo CS; Bhuyan SS; Zhao Y; Ren W; Mohammed A; Li Q; Gardner M; Mahande MJ; Wang Y; Wu J
    BMC Pregnancy Childbirth; 2022 Apr; 22(1):275. PubMed ID: 35365129
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning.
    Gao Q; Jin X; Xia E; Wu X; Gu L; Yan H; Xia Y; Li S
    Front Genet; 2020; 11():820. PubMed ID: 33133122
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy.
    Varotto G; Susi G; Tassi L; Gozzo F; Franceschetti S; Panzica F
    Front Neuroinform; 2021; 15():715421. PubMed ID: 34867255
    [No Abstract]   [Full Text] [Related]  

  • 5. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
    Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
    J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
    Lin Y; Wu JY; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun; 53(3):566-572. PubMed ID: 34145862
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasets.
    Idakwo G; Thangapandian S; Luttrell J; Li Y; Wang N; Zhou Z; Hong H; Yang B; Zhang C; Gong P
    J Cheminform; 2020 Oct; 12(1):66. PubMed ID: 33372637
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine Learning-Based Models Predicting Outpatient Surgery End Time and Recovery Room Discharge at an Ambulatory Surgery Center.
    Gabriel RA; Harjai B; Simpson S; Goldhaber N; Curran BP; Waterman RS
    Anesth Analg; 2022 Jul; 135(1):159-169. PubMed ID: 35389380
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms.
    Sowjanya AM; Mrudula O
    Appl Nanosci; 2023; 13(3):1829-1840. PubMed ID: 35132368
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of vaginal birth after cesarean deliveries using machine learning.
    Lipschuetz M; Guedalia J; Rottenstreich A; Novoselsky Persky M; Cohen SM; Kabiri D; Levin G; Yagel S; Unger R; Sompolinsky Y
    Am J Obstet Gynecol; 2020 Jun; 222(6):613.e1-613.e12. PubMed ID: 32007491
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.
    Heo JH; Kim T; Shin J; Suh GJ; Kim J; Jung YS; Park SM; Kim S;
    J Korean Med Sci; 2021 Jul; 36(28):e187. PubMed ID: 34282605
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
    Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
    JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.
    Adamidi ES; Mitsis K; Nikita KS
    Comput Struct Biotechnol J; 2021; 19():2833-2850. PubMed ID: 34025952
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
    Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
    Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DeepStack-DTIs: Predicting Drug-Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier.
    Zhang Y; Jiang Z; Chen C; Wei Q; Gu H; Yu B
    Interdiscip Sci; 2022 Jun; 14(2):311-330. PubMed ID: 34731411
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Discovery of potential biomarkers for lung cancer classification based on human proteome microarrays using Stochastic Gradient Boosting approach.
    Yao N; Pan J; Chen X; Li P; Li Y; Wang Z; Yao T; Qian L; Yi D; Wu Y
    J Cancer Res Clin Oncol; 2023 Aug; 149(10):6803-6812. PubMed ID: 36807761
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effectiveness of resampling methods in coping with imbalanced crash data: Crash type analysis and predictive modeling.
    Morris C; Yang JJ
    Accid Anal Prev; 2021 Sep; 159():106240. PubMed ID: 34144225
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ensemble machine learning prediction of hyperuricemia based on a prospective health checkup population.
    Zhang Y; Zhang L; Lv H; Zhang G
    Front Physiol; 2024; 15():1357404. PubMed ID: 38665596
    [No Abstract]   [Full Text] [Related]  

  • 19. Artificial intelligence applications in allergic rhinitis diagnosis: Focus on ensemble learning.
    Fu D; Chuanliang Z; Jingdong Y; Yifei M; Shiwang T; Yue Q; Shaoqing Y
    Asia Pac Allergy; 2024 Jun; 14(2):56-62. PubMed ID: 38827260
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models.
    Sun Y; Zheng W; Zhang L; Zhao H; Li X; Zhang C; Ma W; Tian D; Yu KH; Xiao S; Jin L; Hua J
    Front Endocrinol (Lausanne); 2021; 12():755364. PubMed ID: 34777251
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.