BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

445 related articles for article (PubMed ID: 37862334)

  • 1. Machine learning-based prediction models for home discharge in patients with COVID-19: Development and evaluation using electronic health records.
    Zapata RD; Huang S; Morris E; Wang C; Harle C; Magoc T; Mardini M; Loftus T; Modave F
    PLoS One; 2023; 18(10):e0292888. PubMed ID: 37862334
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records.
    Li Q; Li J; Chen J; Zhao X; Zhuang J; Zhong G; Song Y; Lei L
    BMC Cardiovasc Disord; 2024 Jan; 24(1):56. PubMed ID: 38238677
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score.
    Halasz G; Sperti M; Villani M; Michelucci U; Agostoni P; Biagi A; Rossi L; Botti A; Mari C; Maccarini M; Pura F; Roveda L; Nardecchia A; Mottola E; Nolli M; Salvioni E; Mapelli M; Deriu MA; Piga D; Piepoli M
    J Med Internet Res; 2021 May; 23(5):e29058. PubMed ID: 33999838
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
    Zakariaee SS; Naderi N; Ebrahimi M; Kazemi-Arpanahi H
    Sci Rep; 2023 Jul; 13(1):11343. PubMed ID: 37443373
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
    Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
    BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study.
    Park C; Mummaneni PV; Gottfried ON; Shaffrey CI; Tang AJ; Bisson EF; Asher AL; Coric D; Potts EA; Foley KT; Wang MY; Fu KM; Virk MS; Knightly JJ; Meyer S; Park P; Upadhyaya C; Shaffrey ME; Buchholz AL; Tumialán LM; Turner JD; Sherrod BA; Agarwal N; Chou D; Haid RW; Bydon M; Chan AK
    Neurosurg Focus; 2023 Jun; 54(6):E5. PubMed ID: 37283449
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction of a predictive model for radiation proctitis after radiotherapy for female pelvic tumors based on machine learning.
    Xie H; Gong M; Zhang J; Li Q
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1065-1074. PubMed ID: 36097774
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A machine learning-based framework to identify type 2 diabetes through electronic health records.
    Zheng T; Xie W; Xu L; He X; Zhang Y; You M; Yang G; Chen Y
    Int J Med Inform; 2017 Jan; 97():120-127. PubMed ID: 27919371
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.
    Nakagami G; Yokota S; Kitamura A; Takahashi T; Morita K; Noguchi H; Ohe K; Sanada H
    Int J Nurs Stud; 2021 Jul; 119():103932. PubMed ID: 33975074
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
    Hong N; Wen A; Stone DJ; Tsuji S; Kingsbury PR; Rasmussen LV; Pacheco JA; Adekkanattu P; Wang F; Luo Y; Pathak J; Liu H; Jiang G
    J Biomed Inform; 2019 Nov; 99():103310. PubMed ID: 31622801
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation.
    Lu YT; Chao HJ; Chiang YC; Chen HY
    J Med Internet Res; 2023 Feb; 25():e43734. PubMed ID: 36749620
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models.
    Fan J; Chen M; Luo J; Yang S; Shi J; Yao Q; Zhang X; Du S; Qu H; Cheng Y; Ma S; Zhang M; Xu X; Wang Q; Zhan S
    BMC Med Inform Decis Mak; 2021 Apr; 21(1):115. PubMed ID: 33820531
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
    Khalid H; Khan A; Zahid Khan M; Mehmood G; Shuaib Qureshi M
    Comput Intell Neurosci; 2023; 2023():9266889. PubMed ID: 36959840
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Screening of COVID-19 based on the extracted radiomics features from chest CT images.
    Rezaeijo SM; Abedi-Firouzjah R; Ghorvei M; Sarnameh S
    J Xray Sci Technol; 2021; 29(2):229-243. PubMed ID: 33612539
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
    Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
    JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.