BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 37283368)

  • 1. Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery.
    Shahrestani S; Chan AK; Bisson EF; Bydon M; Glassman SD; Foley KT; Shaffrey CI; Potts EA; Shaffrey ME; Coric D; Knightly JJ; Park P; Wang MY; Fu KM; Slotkin JR; Asher AL; Virk MS; Michalopoulos GD; Guan J; Haid RW; Agarwal N; Chou D; Mummaneni PV
    Neurosurg Focus; 2023 Jun; 54(6):E7. PubMed ID: 37283368
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predictive model for long-term patient satisfaction after surgery for grade I degenerative lumbar spondylolisthesis: insights from the Quality Outcomes Database.
    Mummaneni PV; Bydon M; Alvi MA; Chan AK; Glassman SD; Foley KT; Potts EA; Shaffrey CI; Shaffrey ME; Coric D; Knightly JJ; Park P; Wang MY; Fu KM; Slotkin JR; Asher AL; Virk MS; Kerezoudis P; Guan J; Haid RW; Bisson EF
    Neurosurg Focus; 2019 May; 46(5):E12. PubMed ID: 31042653
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.
    Fatima N; Zheng H; Massaad E; Hadzipasic M; Shankar GM; Shin JH
    World Neurosurg; 2020 Aug; 140():627-641. PubMed ID: 32344139
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictors of extended length of stay, discharge to inpatient rehab, and hospital readmission following elective lumbar spine surgery: introduction of the Carolina-Semmes Grading Scale.
    McGirt MJ; Parker SL; Chotai S; Pfortmiller D; Sorenson JM; Foley K; Asher AL
    J Neurosurg Spine; 2017 Oct; 27(4):382-390. PubMed ID: 28498068
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning applications for the prediction of surgical site infection in neurological operations.
    Tunthanathip T; Sae-Heng S; Oearsakul T; Sakarunchai I; Kaewborisutsakul A; Taweesomboonyat C
    Neurosurg Focus; 2019 Aug; 47(2):E7. PubMed ID: 31370028
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Minimally invasive versus open fusion for Grade I degenerative lumbar spondylolisthesis: analysis of the Quality Outcomes Database.
    Mummaneni PV; Bisson EF; Kerezoudis P; Glassman S; Foley K; Slotkin JR; Potts E; Shaffrey M; Shaffrey CI; Coric D; Knightly J; Park P; Fu KM; Devin CJ; Chotai S; Chan AK; Virk M; Asher AL; Bydon M
    Neurosurg Focus; 2017 Aug; 43(2):E11. PubMed ID: 28760035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development of machine learning algorithms for prediction of discharge disposition after elective inpatient surgery for lumbar degenerative disc disorders.
    Karhade AV; Ogink P; Thio Q; Broekman M; Cha T; Gormley WB; Hershman S; Peul WC; Bono CM; Schwab JH
    Neurosurg Focus; 2018 Nov; 45(5):E6. PubMed ID: 30453463
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
    Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
    Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.
    Gowd AK; Agarwalla A; Amin NH; Romeo AA; Nicholson GP; Verma NN; Liu JN
    J Shoulder Elbow Surg; 2019 Dec; 28(12):e410-e421. PubMed ID: 31383411
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.
    Siccoli A; de Wispelaere MP; Schröder ML; Staartjes VE
    Neurosurg Focus; 2019 May; 46(5):E5. PubMed ID: 31042660
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Is the use of minimally invasive fusion technologies associated with improved outcomes after elective interbody lumbar fusion? Analysis of a nationwide prospective patient-reported outcomes registry.
    McGirt MJ; Parker SL; Mummaneni P; Knightly J; Pfortmiller D; Foley K; Asher AL
    Spine J; 2017 Jul; 17(7):922-932. PubMed ID: 28254672
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Defining the minimum clinically important difference for grade I degenerative lumbar spondylolisthesis: insights from the Quality Outcomes Database.
    Asher AL; Kerezoudis P; Mummaneni PV; Bisson EF; Glassman SD; Foley KT; Slotkin JR; Potts EA; Shaffrey ME; Shaffrey CI; Coric D; Knightly JJ; Park P; Fu KM; Devin CJ; Archer KR; Chotai S; Chan AK; Virk MS; Bydon M
    Neurosurg Focus; 2018 Jan; 44(1):E2. PubMed ID: 29290132
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of a preoperative predictive model for major complications following adult spinal deformity surgery.
    Scheer JK; Smith JS; Schwab F; Lafage V; Shaffrey CI; Bess S; Daniels AH; Hart RA; Protopsaltis TS; Mundis GM; Sciubba DM; Ailon T; Burton DC; Klineberg E; Ames CP;
    J Neurosurg Spine; 2017 Jun; 26(6):736-743. PubMed ID: 28338449
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records.
    Wang N; Huang Y; Liu H; Zhang Z; Wei L; Fei X; Chen H
    BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):58. PubMed ID: 34330261
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Women fare best following surgery for degenerative lumbar spondylolisthesis: a comparison of the most and least satisfied patients utilizing data from the Quality Outcomes Database.
    Chan AK; Bisson EF; Bydon M; Glassman SD; Foley KT; Potts EA; Shaffrey CI; Shaffrey ME; Coric D; Knightly JJ; Park P; Fu KM; Slotkin JR; Asher AL; Virk MS; Kerezoudis P; Chotai S; DiGiorgio AM; Chan AY; Haid RW; Mummaneni PV
    Neurosurg Focus; 2018 Jan; 44(1):E3. PubMed ID: 29290130
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a risk-based algorithm for preoperative type and screen testing in spine surgery.
    Turcotte JJ; Holbert SE; Orlov MD; Patton CM
    Spine J; 2022 Sep; 22(9):1472-1480. PubMed ID: 35452836
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery.
    Saravi B; Zink A; Ülkümen S; Couillard-Despres S; Hassel F; Lang G
    J Clin Med; 2022 Jul; 11(14):. PubMed ID: 35887814
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparison of minimally invasive transforaminal lumbar interbody fusion and decompression alone for degenerative lumbar spondylolisthesis.
    Chan AK; Bisson EF; Bydon M; Glassman SD; Foley KT; Potts EA; Shaffrey CI; Shaffrey ME; Coric D; Knightly JJ; Park P; Wang MY; Fu KM; Slotkin JR; Asher AL; Virk MS; Kerezoudis P; Alvi MA; Guan J; Haid RW; Mummaneni PV
    Neurosurg Focus; 2019 May; 46(5):E13. PubMed ID: 31042655
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population.
    Garcia-Carretero R; Vigil-Medina L; Mora-Jimenez I; Soguero-Ruiz C; Barquero-Perez O; Ramos-Lopez J
    Med Biol Eng Comput; 2020 May; 58(5):991-1002. PubMed ID: 32100174
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.