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 *

132 related articles for article (PubMed ID: 38378711)

  • 1. Utilizing machine learning for flow zone indicators prediction and hydraulic flow unit classification.
    Astsauri T; Habiburrahman M; Ibrahim AF; Wang Y
    Sci Rep; 2024 Feb; 14(1):4223. PubMed ID: 38378711
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hydraulic flow unit and rock types of the Asmari Formation, an application of flow zone index and fuzzy C-means clustering methods.
    Eftekhari SH; Memariani M; Maleki Z; Aleali M; Kianoush P
    Sci Rep; 2024 Feb; 14(1):5003. PubMed ID: 38424317
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Petrophysical core-based zonation of OW oilfield in the Bredasdorp Basin South Africa.
    Opuwari M; Afolayan B; Mohammed S; Amaechi PO; Bareja Y; Chatterjee T
    Sci Rep; 2022 Jan; 12(1):510. PubMed ID: 35017577
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling Permeability Using Advanced White-Box Machine Learning Technique: Application to a Heterogeneous Carbonate Reservoir.
    Zhao L; Guo Y; Mohammadian E; Hadavimoghaddam F; Jafari M; Kheirollahi M; Rozhenko A; Liu B
    ACS Omega; 2023 Jun; 8(25):22922-22933. PubMed ID: 37396230
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Real-Time Prediction of Petrophysical Properties Using Machine Learning Based on Drilling Parameters.
    Hassaan S; Mohamed A; Ibrahim AF; Elkatatny S
    ACS Omega; 2024 Apr; 9(15):17066-17075. PubMed ID: 38645308
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A case study of petrophysical rock typing and permeability prediction using machine learning in a heterogenous carbonate reservoir in Iran.
    Mohammadian E; Kheirollahi M; Liu B; Ostadhassan M; Sabet M
    Sci Rep; 2022 Mar; 12(1):4505. PubMed ID: 35296761
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Petrographical and petrophysical rock typing for flow unit identification and permeability prediction in lower cretaceous reservoir AEB_IIIG, Western Desert, Egypt.
    Abo Bakr A; El Kadi HH; Mostafa T
    Sci Rep; 2024 Mar; 14(1):5656. PubMed ID: 38454114
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Discovering the Active Ingredients of Medicine and Food Homologous Substances for Inhibiting the Cyclooxygenase-2 Metabolic Pathway by Machine Learning Algorithms.
    Tian Y; Zhang Z; Yan A
    Molecules; 2023 Sep; 28(19):. PubMed ID: 37836625
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimation of pore structure and permeability in tight carbonate reservoir based on machine learning (ML) algorithm using SEM images of Jaisalmer sub-basin, India.
    Yalamanchi P; Datta Gupta S
    Sci Rep; 2024 Jan; 14(1):930. PubMed ID: 38195867
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Advanced machine learning approaches for predicting permeability in reservoir pay zones based on core analyses.
    Hussen A; Munshi TA; Jahan LN; Hashan M
    Heliyon; 2024 Jun; 10(12):e32666. PubMed ID: 38975203
    [TBL] [Abstract][Full Text] [Related]  

  • 11. On the use of machine learning algorithms in forensic anthropology.
    Nikita E; Nikitas P
    Leg Med (Tokyo); 2020 Nov; 47():101771. PubMed ID: 32795933
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
    Chen X; Pan J; Li Y; Tang R
    Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Applying the improved stratigraphic modified Lorenz technique for dividing the highly heterogeneous clastic reservoirs into hydraulic flow units.
    Nabawy BS; Mohamed AS; Omran AA; Mohamed MT
    Sci Rep; 2023 Nov; 13(1):20465. PubMed ID: 37993582
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China.
    Xu J; Mo Y; Zhu S; Wu J; Jin G; Wang YG; Ji Q; Li L
    Heliyon; 2024 Jul; 10(13):e33695. PubMed ID: 39044968
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Electrical Tortuosity Index: A New Approach for Identifying Rock Typing to Enhance Reservoir Characterization Using Well-Log Data of Uncored Wells.
    Shahat JS; Soliman AA; Gomaa S; Attia AM
    ACS Omega; 2023 Jun; 8(22):19509-19522. PubMed ID: 37305282
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of compressional sonic log in the western (Tano) sedimentary basin of Ghana, West Africa using supervised machine learning algorithms.
    Nero C; Aning AA; Danuor SK; Mensah V
    Heliyon; 2023 Sep; 9(9):e20242. PubMed ID: 37809898
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir.
    Mustafa A; Tariq Z; Mahmoud M; Abdulraheem A
    Sci Rep; 2023 Mar; 13(1):3956. PubMed ID: 36894553
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization.
    Mubarak Y; Koeshidayatullah A
    Sci Rep; 2023 Aug; 13(1):13812. PubMed ID: 37620388
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms.
    Wang P; Cheng S; Li Y; Liu L; Liu J; Zhao Q; Luo S
    Front Public Health; 2022; 10():910479. PubMed ID: 35836985
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.