BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 34547625)

  • 1. The application of machine learning algorithms in predicting the length of stay following femoral neck fracture.
    Zhong H; Wang B; Wang D; Liu Z; Xing C; Wu Y; Gao Q; Zhu S; Qu H; Jia Z; Qu Z; Ning G; Feng S
    Int J Med Inform; 2021 Nov; 155():104572. PubMed ID: 34547625
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of machine learning model to predict lacunar cerebral infarction in elderly patients with femoral neck fracture before surgery.
    Huang CB; Tan K; Wu ZY; Yang L
    BMC Geriatr; 2022 Nov; 22(1):912. PubMed ID: 36443675
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of machine learning models on predicting the length of hospital stay in fragility fracture patients.
    Lai CH; Mok PK; Chau WW; Law SW
    BMC Med Inform Decis Mak; 2024 Jan; 24(1):26. PubMed ID: 38291406
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pragmatic Prediction of Excessive Length of Stay After Cervical Spine Surgery With Machine Learning and Validation on a National Scale.
    Valliani AA; Feng R; Martini ML; Neifert SN; Kim NC; Gal JS; Oermann EK; Caridi JM
    Neurosurgery; 2022 Aug; 91(2):322-330. PubMed ID: 35834322
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A clinical prediction model based on interpretable machine learning algorithms for prolonged hospital stay in acute ischemic stroke patients: a real-world study.
    Wang K; Jiang Q; Gao M; Wei X; Xu C; Yin C; Liu H; Gu R; Wang H; Li W; Rong L
    Front Endocrinol (Lausanne); 2023; 14():1165178. PubMed ID: 38075055
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting Inpatient Length of Stay After Brain Tumor Surgery: Developing Machine Learning Ensembles to Improve Predictive Performance.
    Muhlestein WE; Akagi DS; Davies JM; Chambless LB
    Neurosurgery; 2019 Sep; 85(3):384-393. PubMed ID: 30113665
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning models to predict length of stay and discharge destination in complex head and neck surgery.
    Goshtasbi K; Yasaka TM; Zandi-Toghani M; Djalilian HR; Armstrong WB; Tjoa T; Haidar YM; Abouzari M
    Head Neck; 2021 Mar; 43(3):788-797. PubMed ID: 33142001
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.
    Daghistani TA; Elshawi R; Sakr S; Ahmed AM; Al-Thwayee A; Al-Mallah MH
    Int J Cardiol; 2019 Aug; 288():140-147. PubMed ID: 30685103
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Frank Stinchfield Award : Total Hip Arthroplasty for Femoral Neck Fracture Is Not a Typical DRG 470: A Propensity-matched Cohort Study.
    Schairer WW; Lane JM; Halsey DA; Iorio R; Padgett DE; McLawhorn AS
    Clin Orthop Relat Res; 2017 Feb; 475(2):353-360. PubMed ID: 27154530
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Predictive model for prolonged length of hospital stay in patients with osteoporotic femoral neck fracture: A 5-year retrospective study.
    Manosroi W; Koetsuk L; Phinyo P; Danpanichkul P; Atthakomol P
    Front Med (Lausanne); 2022; 9():1106312. PubMed ID: 36714117
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.
    Triana AJ; Vyas R; Shah AS; Tiwari V
    J Surg Res; 2021 Aug; 264():68-75. PubMed ID: 33784585
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty.
    Abbas A; Mosseri J; Lex JR; Toor J; Ravi B; Khalil EB; Whyne C
    Int J Med Inform; 2022 Feb; 158():104670. PubMed ID: 34971918
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil.
    Kurtz P; Peres IT; Soares M; Salluh JIF; Bozza FA
    Neurocrit Care; 2022 Aug; 37(Suppl 2):313-321. PubMed ID: 35381967
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients.
    Barsasella D; Bah K; Mishra P; Uddin M; Dhar E; Suryani DL; Setiadi D; Masturoh I; Sugiarti I; Jonnagaddala J; Syed-Abdul S
    Medicina (Kaunas); 2022 Oct; 58(11):. PubMed ID: 36363525
    [No Abstract]   [Full Text] [Related]  

  • 16. Predicting in-hospital length of stay for very-low-birth-weight preterm infants using machine learning techniques.
    Lin WT; Wu TY; Chen YJ; Chang YS; Lin CH; Lin YJ
    J Formos Med Assoc; 2022 Jun; 121(6):1141-1148. PubMed ID: 34629242
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Risk Factors for Prolonged Hospital Stay After Femoral Neck Fracture.
    Levitt EB; Patch DA; Johnson JP; Love B; Waldrop RP; McGwin G; Spitler CA; Quade JH
    Orthopedics; 2023; 46(4):211-217. PubMed ID: 36779739
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Risk factors for early infection following hemiarthroplasty in elderly patients with a femoral neck fracture.
    Zajonz D; Brand A; Lycke C; Özkurtul O; Theopold J; Spiegl UJA; Roth A; Josten C; Fakler JKM
    Eur J Trauma Emerg Surg; 2019 Apr; 45(2):207-212. PubMed ID: 29340736
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Discriminative Ability for Adverse Outcomes After Hip Fracture Surgery: A Comparison of Three Commonly Used Comorbidity-Based Indices.
    Guo J; Di J; Gao X; Zha J; Wang X; Wang Z; Wang Q; Hou Z; Zhang Y
    Gerontology; 2022; 68(1):62-74. PubMed ID: 33895736
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension.
    Barsasella D; Gupta S; Malwade S; Aminin ; Susanti Y; Tirmadi B; Mutamakin A; Jonnagaddala J; Syed-Abdul S
    Int J Med Inform; 2021 Oct; 154():104569. PubMed ID: 34525441
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.