BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

302 related articles for article (PubMed ID: 35915457)

  • 1. Machine learning algorithms' accuracy in predicting kidney disease progression: a systematic review and meta-analysis.
    Lei N; Zhang X; Wei M; Lao B; Xu X; Zhang M; Chen H; Xu Y; Xia B; Zhang D; Dong C; Fu L; Tang F; Wu Y
    BMC Med Inform Decis Mak; 2022 Aug; 22(1):205. PubMed ID: 35915457
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses.
    Qu C; Luo W; Zeng Z; Lin X; Gong X; Wang X; Zhang Y; Li Y
    Heliyon; 2022 Nov; 8(11):e11361. PubMed ID: 36387440
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.
    Schena FP; Anelli VW; Abbrescia DI; Di Noia T
    J Nephrol; 2022 Nov; 35(8):1953-1971. PubMed ID: 35543912
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD).
    Bellocchio F; Lonati C; Ion Titapiccolo J; Nadal J; Meiselbach H; Schmid M; Baerthlein B; Tschulena U; Schneider M; Schultheiss UT; Barbieri C; Moore C; Steppan S; Eckardt KU; Stuard S; Neri L
    Int J Environ Res Public Health; 2021 Nov; 18(23):. PubMed ID: 34886378
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction and diagnosis of chronic kidney disease development and progression using machine-learning: Protocol for a systematic review and meta-analysis of reporting standards and model performance.
    Chen F; Kantagowit P; Nopsopon T; Chuklin A; Pongpirul K
    PLoS One; 2023; 18(2):e0278729. PubMed ID: 36821539
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning algorithm for early detection of end-stage renal disease.
    Segal Z; Kalifa D; Radinsky K; Ehrenberg B; Elad G; Maor G; Lewis M; Tibi M; Korn L; Koren G
    BMC Nephrol; 2020 Nov; 21(1):518. PubMed ID: 33246427
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diagnostic Accuracy of Artificial Intelligence Based on Imaging Data for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.
    Zhang J; Huang S; Xu Y; Wu J
    Front Oncol; 2022; 12():763842. PubMed ID: 35280776
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of machine learning algorithms for surgical site infection case detection and prediction: A systematic review and meta-analysis.
    Wu G; Khair S; Yang F; Cheligeer C; Southern D; Zhang Z; Feng Y; Xu Y; Quan H; Williamson T; Eastwood CA
    Ann Med Surg (Lond); 2022 Dec; 84():104956. PubMed ID: 36582918
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review.
    Adeoye J; Tan JY; Choi SW; Thomson P
    Int J Med Inform; 2021 Oct; 154():104557. PubMed ID: 34455119
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning models in predicting graft survival in kidney transplantation: meta-analysis.
    Ravindhran B; Chandak P; Schafer N; Kundalia K; Hwang W; Antoniadis S; Haroon U; Zakri RH
    BJS Open; 2023 Mar; 7(2):. PubMed ID: 36987687
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Early referral strategies for management of people with markers of renal disease: a systematic review of the evidence of clinical effectiveness, cost-effectiveness and economic analysis.
    Black C; Sharma P; Scotland G; McCullough K; McGurn D; Robertson L; Fluck N; MacLeod A; McNamee P; Prescott G; Smith C
    Health Technol Assess; 2010 Apr; 14(21):1-184. PubMed ID: 20441712
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance of deep learning for detection of chronic kidney disease from retinal fundus photographs: A systematic review and meta-analysis.
    Tan Y; Ma Y; Rao S; Sun X
    Eur J Ophthalmol; 2024 Mar; 34(2):502-509. PubMed ID: 37671422
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accuracy of Machine Learning Algorithms for the Diagnosis of Autism Spectrum Disorder: Systematic Review and Meta-Analysis of Brain Magnetic Resonance Imaging Studies.
    Moon SJ; Hwang J; Kana R; Torous J; Kim JW
    JMIR Ment Health; 2019 Dec; 6(12):e14108. PubMed ID: 31562756
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Role of Radiomics in the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.
    Kozikowski M; Suarez-Ibarrola R; Osiecki R; Bilski K; Gratzke C; Shariat SF; Miernik A; Dobruch J
    Eur Urol Focus; 2022 May; 8(3):728-738. PubMed ID: 34099417
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review.
    Sanmarchi F; Fanconi C; Golinelli D; Gori D; Hernandez-Boussard T; Capodici A
    J Nephrol; 2023 May; 36(4):1101-1117. PubMed ID: 36786976
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis.
    Chen R; Chen J; Yang S; Luo S; Xiao Z; Lu L; Liang B; Liu S; Shi H; Xu J
    Int J Med Inform; 2023 Sep; 177():105151. PubMed ID: 37473658
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches.
    Khalid F; Alsadoun L; Khilji F; Mushtaq M; Eze-Odurukwe A; Mushtaq MM; Ali H; Farman RO; Ali SM; Fatima R; Bokhari SFH
    Cureus; 2024 May; 16(5):e60145. PubMed ID: 38864072
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Temporal validation of a Generalized Additive
    Lapi F; Nuti L; Cricelli I; Marconi E; Cricelli C
    Int J Med Inform; 2024 Jun; 186():105440. PubMed ID: 38564962
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE.
    Al-Jaishi AA; Taljaard M; Al-Jaishi MD; Abdullah SS; Thabane L; Devereaux PJ; Dixon SN; Garg AX
    Syst Rev; 2022 Oct; 11(1):229. PubMed ID: 36284336
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study.
    Maghami M; Sattari SA; Tahmasbi M; Panahi P; Mozafari J; Shirbandi K
    Biomed Eng Online; 2023 Dec; 22(1):114. PubMed ID: 38049809
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.