BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 34637510)

  • 1. Development and Internal Validation of a Risk Prediction Model for Falls Among Older People Using Primary Care Electronic Health Records.
    Dormosh N; Schut MC; Heymans MW; van der Velde N; Abu-Hanna A
    J Gerontol A Biol Sci Med Sci; 2022 Jul; 77(7):1438-1445. PubMed ID: 34637510
    [TBL] [Abstract][Full Text] [Related]  

  • 2. External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care.
    Dormosh N; Heymans MW; van der Velde N; Hugtenburg J; Maarsingh O; Slottje P; Abu-Hanna A; Schut MC
    J Am Med Dir Assoc; 2022 Oct; 23(10):1691-1697.e3. PubMed ID: 35963283
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting future falls in older people using natural language processing of general practitioners' clinical notes.
    Dormosh N; Schut MC; Heymans MW; Maarsingh O; Bouman J; van der Velde N; Abu-Hanna A
    Age Ageing; 2023 Apr; 52(4):. PubMed ID: 37014000
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and Internal Validation of a Prediction Model for Falls Using Electronic Health Records in a Hospital Setting.
    Dormosh N; Damoiseaux-Volman BA; van der Velde N; Medlock S; Romijn JA; Abu-Hanna A
    J Am Med Dir Assoc; 2023 Jul; 24(7):964-970.e5. PubMed ID: 37060922
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Falls and fracture risk screening in primary care: update and validation of a postal screening tool for community dwelling older adults recruited to UK Prevention of Falls Injury Trial (PreFIT).
    Bruce J; Hossain A; Ji C; Lall R; Arnold S; Padfield E; Underwood M; Lamb SE
    BMC Geriatr; 2023 Jan; 23(1):42. PubMed ID: 36690953
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Electronic Health Record-Based Absolute Risk Prediction Model for Esophageal Cancer in the Chinese Population: Model Development and External Validation.
    Han Y; Zhu X; Hu Y; Yu C; Guo Y; Hang D; Pang Y; Pei P; Ma H; Sun D; Yang L; Chen Y; Du H; Yu M; Chen J; Chen Z; Huo D; Jin G; Lv J; Hu Z; Shen H; Li L
    JMIR Public Health Surveill; 2023 Mar; 9():e43725. PubMed ID: 36781293
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fall Ascertainment and Development of a Risk Prediction Model Using Electronic Medical Records.
    Oshiro CES; Frankland TB; Rosales AG; Perrin NA; Bell CL; Lo SHY; Trinacty CM
    J Am Geriatr Soc; 2019 Jul; 67(7):1417-1422. PubMed ID: 30875089
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Prediction Model for Falls in Community-Dwelling Older Adults in Podiatry Practices.
    van Gulick DJJ; Perry SIB; van der Leeden M; van Beek JGM; Lucas C; Stuiver MM
    Gerontology; 2022; 68(11):1214-1223. PubMed ID: 34979512
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach.
    Lindberg DS; Prosperi M; Bjarnadottir RI; Thomas J; Crane M; Chen Z; Shear K; Solberg LM; Snigurska UA; Wu Y; Xia Y; Lucero RJ
    Int J Med Inform; 2020 Nov; 143():104272. PubMed ID: 32980667
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A data-driven and practice-based approach to identify risk factors associated with hospital-acquired falls: Applying manual and semi- and fully-automated methods.
    Lucero RJ; Lindberg DS; Fehlberg EA; Bjarnadottir RI; Li Y; Cimiotti JP; Crane M; Prosperi M
    Int J Med Inform; 2019 Feb; 122():63-69. PubMed ID: 30623785
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review.
    Seaman K; Ludlow K; Wabe N; Dodds L; Siette J; Nguyen A; Jorgensen M; Lord SR; Close JCT; O'Toole L; Lin C; Eymael A; Westbrook J
    BMC Geriatr; 2022 Mar; 22(1):210. PubMed ID: 35291948
    [TBL] [Abstract][Full Text] [Related]  

  • 12. External validation of the Johns Hopkins Fall Risk Assessment Tool in older Dutch hospitalized patients.
    Damoiseaux-Volman BA; van Schoor NM; Medlock S; Romijn JA; van der Velde N; Abu-Hanna A
    Eur Geriatr Med; 2023 Feb; 14(1):69-77. PubMed ID: 36422821
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of a multivariable prognostic PREdiction model for 1-year risk of FALLing in a cohort of community-dwelling older adults aged 75 years and above (PREFALL).
    Gade GV; Jørgensen MG; Ryg J; Masud T; Jakobsen LH; Andersen S
    BMC Geriatr; 2021 Jun; 21(1):402. PubMed ID: 34193084
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
    Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
    J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.
    Ye C; Li J; Hao S; Liu M; Jin H; Zheng L; Xia M; Jin B; Zhu C; Alfreds ST; Stearns F; Kanov L; Sylvester KG; Widen E; McElhinney D; Ling XB
    Int J Med Inform; 2020 May; 137():104105. PubMed ID: 32193089
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and external validation of a risk prediction model for falls in patients with an indication for antihypertensive treatment: retrospective cohort study.
    Archer L; Koshiaris C; Lay-Flurrie S; Snell KIE; Riley RD; Stevens R; Banerjee A; Usher-Smith JA; Clegg A; Payne RA; Hobbs FDR; McManus RJ; Sheppard JP;
    BMJ; 2022 Nov; 379():e070918. PubMed ID: 36347531
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A modified fall risk assessment tool that is specific to physical function predicts falls in community-dwelling elderly people.
    Hirase T; Inokuchi S; Matsusaka N; Nakahara K; Okita M
    J Geriatr Phys Ther; 2014; 37(4):159-65. PubMed ID: 24577358
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of a Clinical Text-Based Fall Prediction Model on Preventing Extended Hospital Stays for Elderly Inpatients: Model Development and Performance Evaluation.
    Kawazoe Y; Shimamoto K; Shibata D; Shinohara E; Kawaguchi H; Yamamoto T
    JMIR Med Inform; 2022 Jul; 10(7):e37913. PubMed ID: 35896017
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Validation of two risk-prediction models for recurrent falls in the first year after stroke: a prospective cohort study.
    Walsh ME; Galvin R; Boland F; Williams D; Harbison JA; Murphy S; Collins R; Crowe M; McCabe DJH; Horgan F
    Age Ageing; 2017 Jul; 46(4):642-648. PubMed ID: 28104593
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership's Common Data Model: Pilot Feasibility Study.
    Jung H; Yoo S; Kim S; Heo E; Kim B; Lee HY; Hwang H
    JMIR Med Inform; 2022 Mar; 10(3):e35104. PubMed ID: 35275076
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.