BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 38625579)

  • 1. Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques.
    Mosfeldt M; Jørgensen HL; Lauritzen JB; Jansson KÅ
    Calcif Tissue Int; 2024 Jun; 114(6):568-582. PubMed ID: 38625579
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A machine learning-based prediction model for in-hospital mortality among critically ill patients with hip fracture: An internal and external validated study.
    Lei M; Han Z; Wang S; Han T; Fang S; Lin F; Huang T
    Injury; 2023 Feb; 54(2):636-644. PubMed ID: 36414503
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Does the SORG Orthopaedic Research Group Hip Fracture Delirium Algorithm Perform Well on an Independent Intercontinental Cohort of Patients With Hip Fractures Who Are 60 Years or Older?
    Oosterhoff JHF; Oberai T; Karhade AV; Doornberg JN; Kerkhoffs GMMJ; Jaarsma RL; Schwab JH; Heng M
    Clin Orthop Relat Res; 2022 Nov; 480(11):2205-2213. PubMed ID: 35561268
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
    Chen X; Pan J; Li Y; Tang R
    Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
    Kitcharanant N; Chotiyarnwong P; Tanphiriyakun T; Vanitcharoenkul E; Mahaisavariya C; Boonyaprapa W; Unnanuntana A
    BMC Geriatr; 2022 May; 22(1):451. PubMed ID: 35610589
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
    Lin C; Liang Z; Liu J; Sun W
    Front Surg; 2023; 10():1160085. PubMed ID: 37351328
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above.
    Oosterhoff JHF; Savelberg ABMC; Karhade AV; Gravesteijn BY; Doornberg JN; Schwab JH; Heng M
    Eur J Trauma Emerg Surg; 2022 Dec; 48(6):4669-4682. PubMed ID: 35643788
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020.
    de Groot TM; Ramsey D; Groot OQ; Fourman M; Karhade AV; Twining PK; Berner EA; Fenn BP; Collins AK; Raskin K; Lozano S; Newman E; Ferrone M; Doornberg JN; Schwab JH
    Clin Orthop Relat Res; 2023 Dec; 481(12):2419-2430. PubMed ID: 37229565
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Tool to Estimate Risk of 30-day Mortality and Complications After Hip Fracture Surgery: Accurate Enough for Some but Not All Purposes? A Study From the ACS-NSQIP Database.
    Harris AHS; Trickey AW; Eddington HS; Seib CD; Kamal RN; Kuo AC; Ding Q; Giori NJ
    Clin Orthop Relat Res; 2022 Dec; 480(12):2335-2346. PubMed ID: 35901441
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine-learning Models Predict 30-Day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.
    Abraham VM; Booth G; Geiger P; Balazs GC; Goldman A
    Clin Orthop Relat Res; 2022 Nov; 480(11):2137-2145. PubMed ID: 35767804
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy.
    Kunze KN; Polce EM; Nwachukwu BU; Chahla J; Nho SJ
    Arthroscopy; 2021 May; 37(5):1488-1497. PubMed ID: 33460708
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting 30-day mortality following hip fracture surgery: evaluation of six risk prediction models.
    Karres J; Heesakkers NA; Ultee JM; Vrouenraets BC
    Injury; 2015 Feb; 46(2):371-7. PubMed ID: 25464983
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting Early Mortality After Hip Fracture Surgery: The Hip Fracture Estimator of Mortality Amsterdam.
    Karres J; Kieviet N; Eerenberg JP; Vrouenraets BC
    J Orthop Trauma; 2018 Jan; 32(1):27-33. PubMed ID: 28906306
    [TBL] [Abstract][Full Text] [Related]  

  • 15. External Validation and Optimization of the SPRING Model for Prediction of Survival After Surgical Treatment of Bone Metastases of the Extremities.
    Sørensen MS; Gerds TA; Hindsø K; Petersen MM
    Clin Orthop Relat Res; 2018 Aug; 476(8):1591-1599. PubMed ID: 30020148
    [TBL] [Abstract][Full Text] [Related]  

  • 16. International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment.
    Tseng TE; Lee CC; Yen HK; Groot OQ; Hou CH; Lin SY; Bongers MER; Hu MH; Karhade AV; Ko JC; Lai YH; Yang JJ; Verlaan JJ; Yang RS; Schwab JH; Lin WH
    Clin Orthop Relat Res; 2022 Feb; 480(2):367-378. PubMed ID: 34491920
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?
    El-Galaly A; Grazal C; Kappel A; Nielsen PT; Jensen SL; Forsberg JA
    Clin Orthop Relat Res; 2020 Sep; 478(9):2088-2101. PubMed ID: 32667760
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.
    Thio QCBS; Karhade AV; Bindels BJJ; Ogink PT; Bramer JAM; Ferrone ML; Calderón SL; Raskin KA; Schwab JH
    Clin Orthop Relat Res; 2020 Feb; 478(2):322-333. PubMed ID: 31651589
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients.
    Cui Y; Shi X; Wang S; Qin Y; Wang B; Che X; Lei M
    Front Public Health; 2022; 10():1019168. PubMed ID: 36276398
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of a web-based calculator to predict three-month mortality among patients with bone metastases from cancer of unknown primary: An internally and externally validated study using machine-learning techniques.
    Cui Y; Wang Q; Shi X; Ye Q; Lei M; Wang B
    Front Oncol; 2022; 12():1095059. PubMed ID: 36568149
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.