BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 34984485)

  • 1. Machine learning classifiers do not improve prediction of hospitalization > 2 days after fast-track hip and knee arthroplasty compared with a classical statistical risk model.
    Johannesdottir KB; Kehlet H; Petersen PB; Aasvang EK; Sørensen HBD; Jørgensen CC;
    Acta Orthop; 2022 Jan; 93():117-123. PubMed ID: 34984485
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine-learning vs. logistic regression for preoperative prediction of medical morbidity after fast-track hip and knee arthroplasty-a comparative study.
    Michelsen C; Jørgensen CC; Heltberg M; Jensen MH; Lucchetti A; Petersen PB; Petersen T; Kehlet H; ; Madsen F; Hansen TB; Gromov K; Jakobsen T; Varnum C; Overgaard S; Rathsach M; Hansen L
    BMC Anesthesiol; 2023 Nov; 23(1):391. PubMed ID: 38030979
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of machine learning techniques to predict unplanned readmission following total shoulder arthroplasty.
    Arvind V; London DA; Cirino C; Keswani A; Cagle PJ
    J Shoulder Elbow Surg; 2021 Feb; 30(2):e50-e59. PubMed ID: 32868011
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?
    Chen TL; Buddhiraju A; Seo HH; Shimizu MR; Bacevich BM; Kwon YM
    Arch Orthop Trauma Surg; 2023 Dec; 143(12):7185-7193. PubMed ID: 37592158
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
    Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
    Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and benchmarking of machine learning models to classify patients suitable for outpatient lower extremity joint arthroplasty.
    Jia H; Simpson S; Sathish V; Curran BP; Macias AA; Waterman RS; Gabriel RA
    J Clin Anesth; 2023 Sep; 88():111147. PubMed ID: 37201387
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting Mortality in Hospitalized COVID-19 Patients in Zambia: An Application of Machine Learning.
    Mulenga C; Kaonga P; Hamoonga R; Mazaba ML; Chabala F; Musonda P
    Glob Health Epidemiol Genom; 2023; 2023():8921220. PubMed ID: 37260675
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning approach to predicting persistent opioid use following lower extremity joint arthroplasty.
    Gabriel RA; Harjai B; Prasad RS; Simpson S; Chu I; Fisch KM; Said ET
    Reg Anesth Pain Med; 2022 May; 47(5):313-319. PubMed ID: 35115414
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine learning and wearable sensors at preoperative assessments: Functional recovery prediction to set realistic expectations for knee replacements.
    Bloomfield RA; Broberg JS; Williams HA; Lanting BA; McIsaac KA; Teeter MG
    Med Eng Phys; 2021 Mar; 89():14-21. PubMed ID: 33608121
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The utility of machine learning algorithms for the prediction of patient-reported outcome measures following primary hip and knee total joint arthroplasty.
    Klemt C; Uzosike AC; Esposito JG; Harvey MJ; Yeo I; Subih M; Kwon YM
    Arch Orthop Trauma Surg; 2023 Apr; 143(4):2235-2245. PubMed ID: 35767040
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.
    Shakhovska N; Yakovyna V; Chopyak V
    Math Biosci Eng; 2022 Apr; 19(6):6102-6123. PubMed ID: 35603393
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.
    Aziz W; Hussain L; Khan IR; Alowibdi JS; Alkinani MH
    Math Biosci Eng; 2020 Dec; 18(1):495-517. PubMed ID: 33525104
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.
    Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY
    Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
    Maniruzzaman M; Jahanur Rahman M; Ahammed B; Abedin MM; Suri HS; Biswas M; El-Baz A; Bangeas P; Tsoulfas G; Suri JS
    Comput Methods Programs Biomed; 2019 Jul; 176():173-193. PubMed ID: 31200905
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting sustainable arsenic mitigation using machine learning techniques.
    Singh SK; Taylor RW; Pradhan B; Shirzadi A; Pham BT
    Ecotoxicol Environ Saf; 2022 Mar; 232():113271. PubMed ID: 35121252
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systemic Review.
    Karlin EA; Lin CC; Meftah M; Slover JD; Schwarzkopf R
    J Arthroplasty; 2023 Oct; 38(10):2085-2095. PubMed ID: 36441039
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches.
    Ganie SM; Malik MB; Arif T
    J Diabetes Metab Disord; 2022 Jun; 21(1):339-352. PubMed ID: 35673418
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Predicting prolonged length of intensive care unit stay
    Wu JY; Lin Y; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Dec; 53(6):1163-1170. PubMed ID: 34916699
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.