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)

  • 41. A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study.
    Morgiève M; Genty C; Azé J; Dubois J; Leboyer M; Vaiva G; Berrouiguet S; Courtet P
    JMIR Mhealth Uhealth; 2020 Oct; 8(10):e15741. PubMed ID: 33034567
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment.
    Hart A; Reis D; Prestele E; Jacobson NC
    J Med Internet Res; 2022 Apr; 24(4):e34015. PubMed ID: 35482397
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Assessment of a Precision Medicine Analysis of a Behavioral Counseling Strategy to Improve Adherence to Diabetes Self-management Among Youth: A Post Hoc Analysis of the FLEX Trial.
    Kahkoska AR; Lawson MT; Crandell J; Driscoll KA; Kichler JC; Seid M; Maahs DM; Kosorok MR; Mayer-Davis EJ
    JAMA Netw Open; 2019 May; 2(5):e195137. PubMed ID: 31150087
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Ecological Momentary Assessment of Adolescent Problems, Coping Efficacy, and Mood States Using a Mobile Phone App: An Exploratory Study.
    Kenny R; Dooley B; Fitzgerald A
    JMIR Ment Health; 2016 Nov; 3(4):e51. PubMed ID: 27899340
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults.
    Czyz EK; King CA; Al-Dajani N; Zimmermann L; Hong V; Nahum-Shani I
    JAMA Netw Open; 2023 Aug; 6(8):e2328005. PubMed ID: 37552477
    [TBL] [Abstract][Full Text] [Related]  

  • 46. A Bluetooth-Based Smartphone App for Detecting Peer Proximity: Protocol for Evaluating Functionality and Validity.
    Barnett NP; Sokolovsky AW; Meisel MK; Forkus SR; Jackson KM
    JMIR Res Protoc; 2024 Apr; 13():e50241. PubMed ID: 38578672
    [TBL] [Abstract][Full Text] [Related]  

  • 47. The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES-Australia (MILES-2) Study.
    Trawley S; Baptista S; Browne JL; Pouwer F; Speight J
    Diabetes Technol Ther; 2017 Dec; 19(12):730-738. PubMed ID: 29028442
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Pump It Up! A randomized clinical trial to optimize insulin pump self-management behaviors in adolescents with type 1 diabetes.
    O'Donnell HK; Vigers T; Johnson SB; Pyle L; Wright N; Deeb LC; Driscoll KA
    Contemp Clin Trials; 2021 Mar; 102():106279. PubMed ID: 33440262
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Understanding Pregnancy and Postpartum Health Using Ecological Momentary Assessment and Mobile Technology: Protocol for the Postpartum Mothers Mobile Study.
    Mendez DD; Sanders SA; Karimi HA; Gharani P; Rathbun SL; Gary-Webb TL; Wallace ML; Gianakas JJ; Burke LE; Davis EM
    JMIR Res Protoc; 2019 Jun; 8(6):e13569. PubMed ID: 31244478
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Effect of 6 months' flash glucose monitoring in adolescents and young adults with type 1 diabetes and suboptimal glycaemic control: managing diabetes in a 'flash' randomised controlled trial protocol.
    Boucher SE; Gray AR; de Bock M; Wiltshire EJ; Galland BC; Tomlinson PA; Rayns J; MacKenzie KE; Wheeler BJ
    BMC Endocr Disord; 2019 May; 19(1):50. PubMed ID: 31109342
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies.
    Dao KP; De Cocker K; Tong HL; Kocaballi AB; Chow C; Laranjo L
    JMIR Mhealth Uhealth; 2021 Nov; 9(11):e22890. PubMed ID: 34806995
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Promoting Resilience in Stress Management for Adolescents With Type 1 Diabetes: A Randomized Clinical Trial.
    Yi-Frazier JP; Hilliard ME; O'Donnell MB; Zhou C; Ellisor BM; Garcia Perez S; Duran B; Rojas Y; Malik FS; DeSalvo DJ; Pihoker C; Bradford MC; Scott S; Devaraj S; Rosenberg AR
    JAMA Netw Open; 2024 Aug; 7(8):e2428287. PubMed ID: 39158914
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Evaluating a Glucose-Sensor-Based Tool to Help Clinicians and Adults With Type 1 Diabetes Improve Self-Management Skills.
    Toschi E; Fisher L; Wolpert H; Love M; Dunn T; Hayter G
    J Diabetes Sci Technol; 2018 Nov; 12(6):1143-1151. PubMed ID: 30060682
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Reliability and Validity of Ecological Momentary Assessment Response Time-Based Measures of Emotional Clarity: Secondary Data Analysis.
    Hernandez R; Hoogendoorn C; Gonzalez JS; Pyatak EA; Crespo-Ramos G; Schneider S
    JMIR Ment Health; 2024 Jul; 11():e58352. PubMed ID: 39024004
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Time With Diabetes Distress and Glycemia-Specific Distress: New Patient-Reported Outcome Measures for the Psychosocial Burden of Diabetes Using Ecological Momentary Assessment in an Observational Study.
    Ehrmann D; Schmitt A; Priesterroth L; Kulzer B; Haak T; Hermanns N
    Diabetes Care; 2022 Jul; 45(7):1522-1531. PubMed ID: 35613338
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Impact of technology-based interventions for children and young people with type 1 diabetes on key diabetes self-management behaviours and prerequisites: a systematic review.
    Knox ECL; Quirk H; Glazebrook C; Randell T; Blake H
    BMC Endocr Disord; 2019 Jan; 19(1):7. PubMed ID: 30630442
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Feasibility and Acceptability of Ecological Momentary Assessment of Psychosocial Factors and Self-Management Behaviors Among Veterans With Type 2 Diabetes.
    Wooldridge JS; Soriano EC; Harris DE; Afari N
    Diabetes Spectr; 2022 Feb; 35(1):76-85. PubMed ID: 35308149
    [TBL] [Abstract][Full Text] [Related]  

  • 59. The Use of Mobile Applications Among Adolescents with Type 1 Diabetes: Results from Diabetes MILES Youth-Australia.
    Trawley S; Browne JL; Hagger VL; Hendrieckx C; Holmes-Truscott E; Pouwer F; Skinner TC; Speight J
    Diabetes Technol Ther; 2016 Dec; 18(12):813-819. PubMed ID: 27788032
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Machine Learning-Based Adherence Detection of Type 2 Diabetes Patients on Once-Daily Basal Insulin Injections.
    Thyde DN; Mohebbi A; Bengtsson H; Jensen ML; Mørup M
    J Diabetes Sci Technol; 2021 Jan; 15(1):98-108. PubMed ID: 32297804
    [TBL] [Abstract][Full Text] [Related]  

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