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 *

172 related articles for article (PubMed ID: 35238791)

  • 21. Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation.
    Ng A; Wei B; Jain J; Ward EA; Tandon SD; Moskowitz JT; Krogh-Jespersen S; Wakschlag LS; Alshurafa N
    JMIR Mhealth Uhealth; 2022 Aug; 10(8):e33850. PubMed ID: 35917157
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Mobile App for the Self-Management of Type 1 Diabetes Among Adolescents: A Randomized Controlled Trial.
    Goyal S; Nunn CA; Rotondi M; Couperthwaite AB; Reiser S; Simone A; Katzman DK; Cafazzo JA; Palmert MR
    JMIR Mhealth Uhealth; 2017 Jun; 5(6):e82. PubMed ID: 28630037
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Using Ecological Momentary Assessment to Study Tobacco Behavior in Urban India: There's an App for That.
    Soong A; Chen JC; Borzekowski DL
    JMIR Res Protoc; 2015 Jun; 4(2):e76. PubMed ID: 26109369
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment.
    Businelle MS; Hébert ET; Shi D; Benson L; Kezbers KM; Tonkin S; Piper ME; Qian T
    J Med Internet Res; 2024 Aug; 26():e50275. PubMed ID: 39133915
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Biofeedback and Digitalized Motivational Interviewing to Increase Daily Physical Activity: Series of Factorial N-of-1 Randomized Controlled Trials Piloting the Precious App.
    Nurmi J; Knittle K; Naughton F; Sutton S; Ginchev T; Khattak F; Castellano-Tejedor C; Lusilla-Palacios P; Ravaja N; Haukkala A
    JMIR Form Res; 2023 Nov; 7():e34232. PubMed ID: 37995122
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Continuous glucose monitoring systems for type 1 diabetes mellitus.
    Langendam M; Luijf YM; Hooft L; Devries JH; Mudde AH; Scholten RJ
    Cochrane Database Syst Rev; 2012 Jan; 1(1):CD008101. PubMed ID: 22258980
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.
    Oviedo S; Contreras I; Bertachi A; Quirós C; Giménez M; Conget I; Vehi J
    Comput Methods Programs Biomed; 2019 Sep; 178():175-180. PubMed ID: 31416546
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Wearable Sensor and Mobile App-Based mHealth Approach for Investigating Substance Use and Related Factors in Daily Life: Protocol for an Ecological Momentary Assessment Study.
    Takano A; Ono K; Nozawa K; Sato M; Onuki M; Sese J; Yumoto Y; Matsushita S; Matsumoto T
    JMIR Res Protoc; 2023 Apr; 12():e44275. PubMed ID: 37040162
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study.
    King ZD; Yu H; Vaessen T; Myin-Germeys I; Sano A
    JMIR Mhealth Uhealth; 2024 Feb; 12():e46347. PubMed ID: 38324358
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A Mobile App for Synchronizing Glucometer Data: Impact on Adherence and Glycemic Control Among Youths With Type 1 Diabetes in Routine Care.
    Clements MA; Staggs VS
    J Diabetes Sci Technol; 2017 May; 11(3):461-467. PubMed ID: 28745097
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Use of Ecological Momentary Assessment to Measure Self-Monitoring of Blood Glucose Adherence in Youth With Type 1 Diabetes.
    Warnick JL; Westen SC; Albanese-O'Neill A; Filipp SL; Schatz D; Haller MJ; Janicke DM
    Diabetes Spectr; 2020 Aug; 33(3):280-289. PubMed ID: 32848350
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Compliance With Mobile Ecological Momentary Assessment Protocols in Children and Adolescents: A Systematic Review and Meta-Analysis.
    Wen CKF; Schneider S; Stone AA; Spruijt-Metz D
    J Med Internet Res; 2017 Apr; 19(4):e132. PubMed ID: 28446418
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis.
    Yu J; Chiu C; Wang Y; Dzubur E; Lu W; Hoffman J
    J Med Internet Res; 2021 Aug; 23(8):e27709. PubMed ID: 34448707
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Is the frequency of self-monitoring of blood glucose related to long-term metabolic control? Multicenter analysis including 24,500 patients from 191 centers in Germany and Austria.
    Schütt M; Kern W; Krause U; Busch P; Dapp A; Grziwotz R; Mayer I; Rosenbauer J; Wagner C; Zimmermann A; Kerner W; Holl RW;
    Exp Clin Endocrinol Diabetes; 2006 Jul; 114(7):384-8. PubMed ID: 16915542
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting the Risk of Developing Type 1 Diabetes Using a One-Week Continuous Glucose Monitoring Home Test With Classification Enhanced by Machine Learning: An Exploratory Study.
    Montaser E; Brown SA; DeBoer MD; Farhy LS
    J Diabetes Sci Technol; 2024 Mar; 18(2):257-265. PubMed ID: 37946401
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.
    Rozet A; Kronish IM; Schwartz JE; Davidson KW
    J Med Internet Res; 2019 Apr; 21(4):e12910. PubMed ID: 31025942
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study.
    Cafazzo JA; Casselman M; Hamming N; Katzman DK; Palmert MR
    J Med Internet Res; 2012 May; 14(3):e70. PubMed ID: 22564332
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Psychological interventions to improve self-management of type 1 and type 2 diabetes: a systematic review.
    Winkley K; Upsher R; Stahl D; Pollard D; Kasera A; Brennan A; Heller S; Ismail K
    Health Technol Assess; 2020 Jun; 24(28):1-232. PubMed ID: 32568666
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Novel predictors of daily fluctuations in glycemia and self-management in adolescents and young adults with type 1 diabetes.
    Messer LH; Vigers T; Pyle L; Fivekiller E; Wadwa RP; Hernandez TL; Cook PF
    Diabet Med; 2022 Sep; 39(9):e14910. PubMed ID: 35776655
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Real-world Benefits of Diabetes Management App Use and Self-monitoring of Blood Glucose on Glycemic Control: Retrospective Analyses.
    Chang YT; Tu YZ; Chiou HY; Lai K; Yu NC
    JMIR Mhealth Uhealth; 2022 Jun; 10(6):e31764. PubMed ID: 35704371
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.