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 *

150 related articles for article (PubMed ID: 34927190)

  • 1. On the relationship between research parasites and fairness in machine learning: challenges and opportunities.
    Nieto N; Larrazabal A; Peterson V; Milone DH; Ferrante E
    Gigascience; 2021 Dec; 10(12):. PubMed ID: 34927190
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory Medicine.
    Azimi V; Zaydman MA
    J Appl Lab Med; 2023 Jan; 8(1):113-128. PubMed ID: 36610413
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences.
    Carey AN; Wu X
    Front Big Data; 2022; 5():892837. PubMed ID: 35574571
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work.
    Salman OH; Taha Z; Alsabah MQ; Hussein YS; Mohammed AS; Aal-Nouman M
    Comput Methods Programs Biomed; 2021 Sep; 209():106357. PubMed ID: 34438223
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It.
    Gervasi SS; Chen IY; Smith-McLallen A; Sontag D; Obermeyer Z; Vennera M; Chawla R
    Health Aff (Millwood); 2022 Feb; 41(2):212-218. PubMed ID: 35130064
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dbias: detecting biases and ensuring fairness in news articles.
    Raza S; Reji DJ; Ding C
    Int J Data Sci Anal; 2022 Sep; ():1-21. PubMed ID: 36065448
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Facing the Challenges of Developing Fair Risk Scoring Models.
    Szepannek G; Lübke K
    Front Artif Intell; 2021; 4():681915. PubMed ID: 34723172
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An empirical characterization of fair machine learning for clinical risk prediction.
    Pfohl SR; Foryciarz A; Shah NH
    J Biomed Inform; 2021 Jan; 113():103621. PubMed ID: 33220494
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Can medical algorithms be fair? Three ethical quandaries and one dilemma.
    Bærøe K; Gundersen T; Henden E; Rommetveit K
    BMJ Health Care Inform; 2022 Apr; 29(1):. PubMed ID: 35396245
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret.
    Lokhande VS; Akash AK; Ravi SN; Singh V
    Comput Vis ECCV; 2020 Aug; 12357():365-381. PubMed ID: 33462570
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enabling Fairness in Healthcare Through Machine Learning.
    Grote T; Keeling G
    Ethics Inf Technol; 2022; 24(3):39. PubMed ID: 36060496
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ensuring Fairness in Machine Learning to Advance Health Equity.
    Rajkomar A; Hardt M; Howell MD; Corrado G; Chin MH
    Ann Intern Med; 2018 Dec; 169(12):866-872. PubMed ID: 30508424
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Opportunities for human factors in machine learning.
    Baweja JA; Fallon CK; Jefferson BA
    Front Artif Intell; 2023; 6():1130190. PubMed ID: 37152975
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On Consequentialism and Fairness.
    Card D; Smith NA
    Front Artif Intell; 2020; 3():34. PubMed ID: 33733152
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Not all biases are bad: equitable and inequitable biases in machine learning and radiology.
    Pot M; Kieusseyan N; Prainsack B
    Insights Imaging; 2021 Feb; 12(1):13. PubMed ID: 33564955
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning for microscopic examination of protozoan parasites.
    Zhang C; Jiang H; Jiang H; Xi H; Chen B; Liu Y; Juhas M; Li J; Zhang Y
    Comput Struct Biotechnol J; 2022; 20():1036-1043. PubMed ID: 35284048
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated machine learning: Review of the state-of-the-art and opportunities for healthcare.
    Waring J; Lindvall C; Umeton R
    Artif Intell Med; 2020 Apr; 104():101822. PubMed ID: 32499001
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SLIDE: A surrogate fairness constraint to ensure fairness consistency.
    Kim K; Ohn I; Kim S; Kim Y
    Neural Netw; 2022 Oct; 154():441-454. PubMed ID: 35964434
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data imputation techniques.
    Pires IM; Hussain F; Marques G; Garcia NM
    Comput Biol Med; 2021 Aug; 135():104638. PubMed ID: 34256257
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.