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 *

235 related articles for article (PubMed ID: 31980091)

  • 1. Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning.
    Sharma P; Choudhary K; Gupta K; Chawla R; Gupta D; Sharma A
    Artif Intell Med; 2020 Jan; 102():101752. PubMed ID: 31980091
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new machine learning technique for an accurate diagnosis of coronary artery disease.
    Abdar M; Książek W; Acharya UR; Tan RS; Makarenkov V; Pławiak P
    Comput Methods Programs Biomed; 2019 Oct; 179():104992. PubMed ID: 31443858
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.
    Senan EM; Abunadi I; Jadhav ME; Fati SM
    Comput Math Methods Med; 2021; 2021():8500314. PubMed ID: 34966445
    [TBL] [Abstract][Full Text] [Related]  

  • 5. KPCA-WRF-prediction of heart rate using deep feature fusion and machine learning classification with tuned weighted hyper-parameter.
    Christabel GJ; Subhajini AC
    Network; 2023; 34(4):250-281. PubMed ID: 37534974
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.
    Murugesan S; Bhuvaneswaran RS; Khanna Nehemiah H; Keerthana Sankari S; Nancy Jane Y
    Comput Math Methods Med; 2021; 2021():6662420. PubMed ID: 34055041
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis.
    Mezzatesta S; Torino C; Meo P; Fiumara G; Vilasi A
    Comput Methods Programs Biomed; 2019 Aug; 177():9-15. PubMed ID: 31319965
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Research on Supply Chain Financial Risk Prevention Based on Machine Learning.
    Lei Y; Qiaoming H; Tong Z
    Comput Intell Neurosci; 2023; 2023():6531154. PubMed ID: 36923907
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning models for net photosynthetic rate prediction using poplar leaf phenotype data.
    Zhang XY; Huang Z; Su X; Siu A; Song Y; Zhang D; Fang Q
    PLoS One; 2020; 15(2):e0228645. PubMed ID: 32045452
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
    Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O
    Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial intelligence algorithm comparison and ranking for weight prediction in sheep.
    Hamadani A; Ganai NA
    Sci Rep; 2023 Aug; 13(1):13242. PubMed ID: 37582936
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony.
    Gao L; Ye M; Wu C
    Molecules; 2017 Nov; 22(12):. PubMed ID: 29186052
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Supporting Real World Decision Making in Coronary Diseases Using Machine Learning.
    Kokol P; Jurman J; Bogovič T; Završnik T; Završnik J; Blažun Vošner H
    Inquiry; 2021; 58():46958021997338. PubMed ID: 33998303
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
    Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
    BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning Methods for Fear Classification Based on Physiological Features.
    Petrescu L; Petrescu C; Oprea A; Mitruț O; Moise G; Moldoveanu A; Moldoveanu F
    Sensors (Basel); 2021 Jul; 21(13):. PubMed ID: 34282759
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety.
    Howard JP; Cook CM; van de Hoef TP; Meuwissen M; de Waard GA; van Lavieren MA; Echavarria-Pinto M; Danad I; Piek JJ; Götberg M; Al-Lamee RK; Sen S; Nijjer SS; Seligman H; van Royen N; Knaapen P; Escaned J; Francis DP; Petraco R; Davies JE
    JACC Cardiovasc Interv; 2019 Oct; 12(20):2093-2101. PubMed ID: 31563678
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A predictive model of recreational water quality based on adaptive synthetic sampling algorithms and machine learning.
    Xu T; Coco G; Neale M
    Water Res; 2020 Jun; 177():115788. PubMed ID: 32330740
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optimized feature fusion-based modified cascaded kernel extreme learning machine for heart disease prediction in E-healthcare.
    Kumar S; Gola KK; Jee N; Singh BM
    Comput Methods Biomech Biomed Engin; 2024 Jun; 27(8):980-993. PubMed ID: 37272059
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effectively Predicting the Presence of Coronary Heart Disease Using Machine Learning Classifiers.
    Hassan CAU; Iqbal J; Irfan R; Hussain S; Algarni AD; Bukhari SSH; Alturki N; Ullah SS
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236325
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Powerlifting score prediction using a machine learning method.
    Chau VH
    Math Biosci Eng; 2021 Jan; 18(2):1040-1050. PubMed ID: 33757174
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.