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 *

321 related articles for article (PubMed ID: 29469579)

  • 21. What can qualitative psychology contribute to psychological knowledge?
    Willig C
    Psychol Methods; 2019 Dec; 24(6):796-804. PubMed ID: 31008623
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Epidemiological research in the big data era: opportunities, challenges and prospectives].
    Wang YZ; Ma HX; Jin GF; Hu ZB; Shen HB
    Zhonghua Liu Xing Bing Xue Za Zhi; 2021 Jan; 42(1):10-14. PubMed ID: 33503693
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Big data management challenges in health research-a literature review.
    Wang X; Williams C; Liu ZH; Croghan J
    Brief Bioinform; 2019 Jan; 20(1):156-167. PubMed ID: 28968677
    [TBL] [Abstract][Full Text] [Related]  

  • 24. m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics.
    Istepanian RSH; Al-Anzi T
    Methods; 2018 Dec; 151():34-40. PubMed ID: 29890285
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data.
    Kim SJ; Marsch LA; Hancock JT; Das AK
    J Med Internet Res; 2017 Oct; 19(10):e353. PubMed ID: 29089287
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Contemporary applications of moderation analysis in counseling psychology.
    Lorah JA; Wong YJ
    J Couns Psychol; 2018 Oct; 65(5):629-640. PubMed ID: 30010352
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Machine Learning in Nanoscience: Big Data at Small Scales.
    Brown KA; Brittman S; Maccaferri N; Jariwala D; Celano U
    Nano Lett; 2020 Jan; 20(1):2-10. PubMed ID: 31804080
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Introduction to Machine Learning in Digital Healthcare Epidemiology.
    Roth JA; Battegay M; Juchler F; Vogt JE; Widmer AF
    Infect Control Hosp Epidemiol; 2018 Dec; 39(12):1457-1462. PubMed ID: 30394238
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Interpretable machine learning for psychological research: Opportunities and pitfalls.
    Henninger M; Debelak R; Rothacher Y; Strobl C
    Psychol Methods; 2023 May; ():. PubMed ID: 37227894
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Leveraging the Open Science Framework in clinical psychological assessment research.
    Tackett JL; Brandes CM; Reardon KW
    Psychol Assess; 2019 Dec; 31(12):1386-1394. PubMed ID: 30869959
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Introduction to the special section on increasing replicability, transparency, and openness in clinical psychology.
    Tackett JL; Miller JD
    J Abnorm Psychol; 2019 Aug; 128(6):487-492. PubMed ID: 31368726
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The Yale Roadmap for Health Psychology and Integrated Cardiovascular Care.
    Gaffey AE; Harris KM; Mena-Hurtado C; Sinha R; Jacoby DL; Smolderen KG
    Health Psychol; 2022 Oct; 41(10):779-791. PubMed ID: 35201804
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Does big data require a methodological change in medical research?
    Caliebe A; Leverkus F; Antes G; Krawczak M
    BMC Med Res Methodol; 2019 Jun; 19(1):125. PubMed ID: 31208367
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Big data, machine learning, and population health: predicting cognitive outcomes in childhood.
    Bowe AK; Lightbody G; Staines A; Murray DM
    Pediatr Res; 2023 Jan; 93(2):300-307. PubMed ID: 35681091
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Big data in digital healthcare: lessons learnt and recommendations for general practice.
    Agrawal R; Prabakaran S
    Heredity (Edinb); 2020 Apr; 124(4):525-534. PubMed ID: 32139886
    [TBL] [Abstract][Full Text] [Related]  

  • 36. [Big data approaches in psychiatry: examples in depression research].
    Bzdok D; Karrer TM; Habel U; Schneider F
    Nervenarzt; 2018 Aug; 89(8):869-874. PubMed ID: 29188348
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
    Wang HT; Smallwood J; Mourao-Miranda J; Xia CH; Satterthwaite TD; Bassett DS; Bzdok D
    Neuroimage; 2020 Aug; 216():116745. PubMed ID: 32278095
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Big Data Approaches in Heart Failure Research.
    Lanzer JD; Leuschner F; Kramann R; Levinson RT; Saez-Rodriguez J
    Curr Heart Fail Rep; 2020 Oct; 17(5):213-224. PubMed ID: 32783147
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The big, the bad, and the ugly: Geographic estimation with flawed psychological data.
    Hoover J; Dehghani M
    Psychol Methods; 2020 Aug; 25(4):412-429. PubMed ID: 31647254
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power.
    Soto CJ; John OP
    J Pers Soc Psychol; 2017 Jul; 113(1):117-143. PubMed ID: 27055049
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.