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 *

152 related articles for article (PubMed ID: 39254891)

  • 1. Treatment effect analysis of the Frailty Care Bundle (FCB) in a cohort of patients in acute care settings.
    Crowe C; Naughton C; de Foubert M; Cummins H; McCullagh R; Skelton DA; Dahly D; Palmer B; O'Flynn B; Tedesco S
    Aging Clin Exp Res; 2024 Sep; 36(1):187. PubMed ID: 39254891
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Wrist-Worn Wearable Device Can Identify Frailty in Middle-Aged and Older Adults: The UK Biobank Study.
    Osuka Y; Chan LLY; Brodie MA; Okubo Y; Lord SR
    J Am Med Dir Assoc; 2024 Oct; 25(10):105196. PubMed ID: 39128825
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Enhancing the convenience of frailty index assessment for elderly Chinese people with machine learning methods.
    Huang L; Chen H; Liang Z
    Sci Rep; 2024 Oct; 14(1):23227. PubMed ID: 39369089
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Wearable sensor-based in-home assessment of gait, balance, and physical activity for discrimination of frailty status: baseline results of the Arizona frailty cohort study.
    Schwenk M; Mohler J; Wendel C; D'Huyvetter K; Fain M; Taylor-Piliae R; Najafi B
    Gerontology; 2015; 61(3):258-67. PubMed ID: 25547185
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning models for identifying pre-frailty in community dwelling older adults.
    Sajeev S; Champion S; Maeder A; Gordon S
    BMC Geriatr; 2022 Oct; 22(1):794. PubMed ID: 36221059
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Instrumented Trail-Making Task: Application of Wearable Sensor to Determine Physical Frailty Phenotypes.
    Zhou H; Razjouyan J; Halder D; Naik AD; Kunik ME; Najafi B
    Gerontology; 2019; 65(2):186-197. PubMed ID: 30359976
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The feasibility of assessing frailty and sarcopenia in hospitalised older people: a comparison of commonly used tools.
    Ibrahim K; Howson FFA; Culliford DJ; Sayer AA; Roberts HC
    BMC Geriatr; 2019 Feb; 19(1):42. PubMed ID: 30770722
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer.
    Montoye AHK; Westgate BS; Fonley MR; Pfeiffer KA
    J Appl Physiol (1985); 2018 May; 124(5):1284-1293. PubMed ID: 29369742
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty.
    Fan S; Ye J; Xu Q; Peng R; Hu B; Pei Z; Yang Z; Xu F
    Front Public Health; 2023; 11():1169083. PubMed ID: 37546315
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study.
    Anzai E; Ren D; Cazenille L; Aubert-Kato N; Tripette J; Ohta Y
    BMC Geriatr; 2022 Sep; 22(1):746. PubMed ID: 36096722
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Frailty Assessment Using Temporal Gait Characteristics and a Long Short-Term Memory Network.
    Jung D; Kim J; Kim M; Won CW; Mun KR
    IEEE J Biomed Health Inform; 2021 Sep; 25(9):3649-3658. PubMed ID: 33755570
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of smart bracelet to monitor frailty-related gait parameters of older Chinese adults: A preliminary study.
    Zhong R; Rau PP; Yan X
    Geriatr Gerontol Int; 2018 Sep; 18(9):1366-1371. PubMed ID: 30105810
    [TBL] [Abstract][Full Text] [Related]  

  • 13. High-Technology Based Gait Assessment in Frail People: Associations between Spatio-Temporal and Three-Dimensional Gait Characteristics with Frailty Status across Four Different Frailty Measures.
    Ritt M; Schülein S; Lubrich H; Bollheimer LC; Sieber CC; Gaßmann KG
    J Nutr Health Aging; 2017; 21(3):346-353. PubMed ID: 28244577
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Monitoring Gait and Physical Activity of Elderly Frail Individuals in Free-Living Environment: A Feasibility Study.
    Camerlingo N; Shaafi Kabiri N; Psaltos DJ; Kelly M; Wicker MK; Messina I; Auerbach SH; Zhang H; Messere A; Isik Karahanoglu F; Santamaria M; Demanuele C; Caouette D; Thomas KC
    Gerontology; 2024; 70(4):439-454. PubMed ID: 37984340
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sensor-based characterization of daily walking: a new paradigm in pre-frailty/frailty assessment.
    Pradeep Kumar D; Toosizadeh N; Mohler J; Ehsani H; Mannier C; Laksari K
    BMC Geriatr; 2020 May; 20(1):164. PubMed ID: 32375700
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Frailty Index and functional level upon admission predict hospital outcomes: an interRAI-based cohort study of older patients in post-acute care hospitals.
    Kerminen H; Huhtala H; Jäntti P; Valvanne J; Jämsen E
    BMC Geriatr; 2020 May; 20(1):160. PubMed ID: 32370740
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The application of machine learning for identifying frailty in older patients during hospital admission.
    Chou YY; Wang MS; Lin CF; Lee YS; Lee PH; Huang SM; Wu CL; Lin SY
    BMC Med Inform Decis Mak; 2024 Sep; 24(1):270. PubMed ID: 39334179
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Alterations in gait parameters with peripheral artery disease: The importance of pre-frailty as a confounding variable.
    Toosizadeh N; Stocker H; Thiede R; Mohler J; Mills JL; Najafi B
    Vasc Med; 2016 Dec; 21(6):520-527. PubMed ID: 27634957
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feature selection for elderly faller classification based on wearable sensors.
    Howcroft J; Kofman J; Lemaire ED
    J Neuroeng Rehabil; 2017 May; 14(1):47. PubMed ID: 28558724
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study.
    Soltani A; Abolhassani N; Marques-Vidal P; Aminian K; Vollenweider P; Paraschiv-Ionescu A
    Sci Rep; 2021 Sep; 11(1):18966. PubMed ID: 34556721
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.