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 *

299 related articles for article (PubMed ID: 35886221)

  • 1. Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication.
    Alabi RO; Almangush A; Elmusrati M; Leivo I; Mäkitie A
    Int J Environ Res Public Health; 2022 Jul; 19(14):. PubMed ID: 35886221
    [No Abstract]   [Full Text] [Related]  

  • 2. Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.
    Alabi RO; Youssef O; Pirinen M; Elmusrati M; Mäkitie AA; Leivo I; Almangush A
    Artif Intell Med; 2021 May; 115():102060. PubMed ID: 34001326
    [TBL] [Abstract][Full Text] [Related]  

  • 3. COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney injury of COVID-19 patients from clinical and biochemistry data.
    Aboutalebi H; Pavlova M; Shafiee MJ; Florea A; Hryniowski A; Wong A
    Sci Rep; 2023 Oct; 13(1):17001. PubMed ID: 37813920
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Causability and explainability of artificial intelligence in medicine.
    Holzinger A; Langs G; Denk H; Zatloukal K; Müller H
    Wiley Interdiscip Rev Data Min Knowl Discov; 2019; 9(4):e1312. PubMed ID: 32089788
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator.
    Diprose WK; Buist N; Hua N; Thurier Q; Shand G; Robinson R
    J Am Med Inform Assoc; 2020 Apr; 27(4):592-600. PubMed ID: 32106285
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.
    Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Leivo I; Almangush A
    Virchows Arch; 2019 Oct; 475(4):489-497. PubMed ID: 31422502
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support Tool.
    C Manikis G; Simos NJ; Kourou K; Kondylakis H; Poikonen-Saksela P; Mazzocco K; Pat-Horenczyk R; Sousa B; Oliveira-Maia AJ; Mattson J; Roziner I; Marzorati C; Marias K; Nuutinen M; Karademas E; Fotiadis D
    J Med Internet Res; 2023 Jun; 25():e43838. PubMed ID: 37307043
    [TBL] [Abstract][Full Text] [Related]  

  • 8. User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base.
    He X; Zhang H; Bian J
    J Biomed Inform; 2020 Oct; 110():103571. PubMed ID: 32961307
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Personalized Medicine Using Predictive Analytics: A Machine Learning-Based Prognostic Model for Patients Undergoing Hip Arthroscopy.
    Domb BG; Ouyang VW; Go CC; Gornbein JA; Shapira J; Meghpara MB; Maldonado DR; Lall AC; Rosinsky PJ
    Am J Sports Med; 2022 Jun; 50(7):1900-1908. PubMed ID: 35536218
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Clinical Needs Assessment of a Machine Learning-Based Asthma Management Tool: User-Centered Design Approach.
    Zheng L; Ohde JW; Overgaard SM; Brereton TA; Jose K; Wi CI; Peterson KJ; Juhn YJ
    JMIR Form Res; 2024 Jan; 8():e45391. PubMed ID: 38224482
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrating Explainable Machine Learning in Clinical Decision Support Systems: Study Involving a Modified Design Thinking Approach.
    Shulha M; Hovdebo J; D'Souza V; Thibault F; Harmouche R
    JMIR Form Res; 2024 Apr; 8():e50475. PubMed ID: 38625728
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Web-based eHealth Clinical Decision Support System as a tool for the treat-to-target management of patients with systemic lupus erythematosus:
    Parra Sanchez AR; Grimberg MG; Hanssen M; Aben M; Jairth E; Dhoeme P; Tsang-A-Sjoe MWP; Voskuyl A; Jansen HJ; van Vollenhoven R
    BMJ Health Care Inform; 2023 Sep; 30(1):. PubMed ID: 37751942
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer.
    Alabi RO; Mäkitie AA; Pirinen M; Elmusrati M; Leivo I; Almangush A
    Int J Med Inform; 2021 Jan; 145():104313. PubMed ID: 33142259
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Explainability and causability for artificial intelligence-supported medical image analysis in the context of the European In Vitro Diagnostic Regulation.
    Müller H; Holzinger A; Plass M; Brcic L; Stumptner C; Zatloukal K
    N Biotechnol; 2022 Sep; 70():67-72. PubMed ID: 35526802
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol.
    Sinclair P; Kable A; Levett-Jones T
    JBI Database System Rev Implement Rep; 2015 Jan; 13(1):52-64. PubMed ID: 26447007
    [TBL] [Abstract][Full Text] [Related]  

  • 16. AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning.
    Imrie F; Cebere B; McKinney EF; van der Schaar M
    PLOS Digit Health; 2023 Jun; 2(6):e0000276. PubMed ID: 37347752
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Mobile Web App to Improve Health Screening Uptake in Men (ScreenMen): Utility and Usability Evaluation Study.
    Teo CH; Ng CJ; Lo SK; Lim CD; White A
    JMIR Mhealth Uhealth; 2019 Apr; 7(4):e10216. PubMed ID: 30985280
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Explainability and causability in digital pathology.
    Plass M; Kargl M; Kiehl TR; Regitnig P; Geißler C; Evans T; Zerbe N; Carvalho R; Holzinger A; Müller H
    J Pathol Clin Res; 2023 Jul; 9(4):251-260. PubMed ID: 37045794
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Considering Spine Surgery: A Web-Based Calculator for Communicating Estimates of Personalized Treatment Outcomes.
    Moulton H; Tosteson TD; Zhao W; Pearson L; Mycek K; Scherer E; Weinstein JN; Pearson A; Abdu W; Schwarz S; Kelly M; McGuire K; Milam A; Lurie JD
    Spine (Phila Pa 1976); 2018 Dec; 43(24):1731-1738. PubMed ID: 29877995
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development, validation, and usability evaluation of machine learning algorithms for predicting personalized red blood cell demand among thoracic surgery patients.
    Hur S; Yoo J; Min JY; Jeon YJ; Cho JH; Seo JY; Cho D; Kim K; Lee Y; Cha WC
    Int J Med Inform; 2024 Nov; 191():105543. PubMed ID: 39084087
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.