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 *

550 related articles for article (PubMed ID: 38905988)

  • 1. Responsible AI for cardiovascular disease detection: Towards a privacy-preserving and interpretable model.
    Ferdowsi M; Hasan MM; Habib W
    Comput Methods Programs Biomed; 2024 Sep; 254():108289. PubMed ID: 38905988
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Investigation on explainable machine learning models to predict chronic kidney diseases.
    Ghosh SK; Khandoker AH
    Sci Rep; 2024 Feb; 14(1):3687. PubMed ID: 38355876
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation.
    Luong TM; Ho NT; Hwu YM; Lin SY; Ho JY; Wang RS; Lee YX; Tan SJ; Lee YR; Huang YL; Hsu YC; Le NQ; Tzeng CR
    J Assist Reprod Genet; 2024 Sep; 41(9):2349-2358. PubMed ID: 38963605
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.
    Chen H; Cohen E; Wilson D; Alfred M
    JMIR Hum Factors; 2024 Jan; 11():e53378. PubMed ID: 38271086
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability.
    Shimizu GY; Schrempf M; Romão EA; Jauk S; Kramer D; Rainer PP; Cardeal da Costa JA; de Azevedo-Marques JM; Scarpelini S; Suzuki KMF; César HV; de Azevedo-Marques PM
    PLoS One; 2024; 19(10):e0311719. PubMed ID: 39392843
    [TBL] [Abstract][Full Text] [Related]  

  • 6. IHCP: interpretable hepatitis C prediction system based on black-box machine learning models.
    Fan Y; Lu X; Sun G
    BMC Bioinformatics; 2023 Sep; 24(1):333. PubMed ID: 37674125
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Explainable Artificial Intelligence Framework for the Deterioration Risk Prediction of Hepatitis Patients.
    Peng J; Zou K; Zhou M; Teng Y; Zhu X; Zhang F; Xu J
    J Med Syst; 2021 Apr; 45(5):61. PubMed ID: 33847850
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.
    Gholi Zadeh Kharrat F; Gagne C; Lesage A; Gariépy G; Pelletier JF; Brousseau-Paradis C; Rochette L; Pelletier E; Lévesque P; Mohammed M; Wang J
    PLoS One; 2024; 19(4):e0301117. PubMed ID: 38568987
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review.
    Ali S; Akhlaq F; Imran AS; Kastrati Z; Daudpota SM; Moosa M
    Comput Biol Med; 2023 Nov; 166():107555. PubMed ID: 37806061
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Explainable AI: Machine Learning Interpretation in Blackcurrant Powders.
    Przybył K
    Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38794052
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interpretable machine learning for dermatological disease detection: Bridging the gap between accuracy and explainability.
    Nasir Y; Kadian K; Sharma A; Dwivedi V
    Comput Biol Med; 2024 Sep; 179():108919. PubMed ID: 39047502
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Establishment and validation of an artificial intelligence web application for predicting postoperative in-hospital mortality in patients with hip fracture: a national cohort study of 52 707 cases.
    Lei M; Feng T; Chen M; Shen J; Liu J; Chang F; Chen J; Sun X; Mao Z; Li Y; Yin P; Tang P; Zhang L
    Int J Surg; 2024 Aug; 110(8):4876-4892. PubMed ID: 38752505
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI).
    Yasin P; Yimit Y; Cai X; Aimaiti A; Sheng W; Mamat M; Nijiati M
    Eur J Med Res; 2024 Jul; 29(1):383. PubMed ID: 39054495
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare.
    Jeyaraman M; Balaji S; Jeyaraman N; Yadav S
    Cureus; 2023 Aug; 15(8):e43262. PubMed ID: 37692617
    [TBL] [Abstract][Full Text] [Related]  

  • 15. HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis.
    Islam MS; Awal MA; Laboni JN; Pinki FT; Karmokar S; Mumenin KM; Al-Ahmadi S; Rahman MA; Hossain MS; Mirjalili S
    Comput Biol Med; 2022 Aug; 147():105671. PubMed ID: 35660327
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data.
    Nambiar A; S H; S S
    Front Artif Intell; 2023; 6():1272506. PubMed ID: 38111787
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.
    Charlton CE; Poon MTC; Brennan PM; Fleuriot JD
    Comput Methods Programs Biomed; 2023 May; 233():107482. PubMed ID: 36947980
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis.
    Cui Y; Shi X; Qin Y; Wang Q; Cao X; Che X; Pan Y; Wang B; Lei M; Liu Y
    Int J Surg; 2024 May; 110(5):2738-2756. PubMed ID: 38376838
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR).
    Kassem K; Sperti M; Cavallo A; Vergani AM; Fassino D; Moz M; Liscio A; Banali R; Dahlweid M; Benetti L; Bruno F; Gallone G; De Filippo O; Iannaccone M; D'Ascenzo F; De Ferrari GM; Morbiducci U; Della Valle E; Deriu MA
    Artif Intell Med; 2024 May; 151():102841. PubMed ID: 38658130
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI.
    Kibria HB; Nahiduzzaman M; Goni MOF; Ahsan M; Haider J
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236367
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 28.