These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 37941686)

  • 1. Short-term All-cause In-hospital Mortality Prediction by Machine Learning Using Numeric Laboratory Results.
    Shimada G; Nakabayashi R; Komatsu Y
    JMA J; 2023 Oct; 6(4):470-480. PubMed ID: 37941686
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of bacteremia at the emergency department during triage and disposition stages using machine learning models.
    Choi DH; Hong KJ; Park JH; Shin SD; Ro YS; Song KJ; Kim KH; Kim S
    Am J Emerg Med; 2022 Mar; 53():86-93. PubMed ID: 34998038
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Developing machine learning models for prediction of mortality in the medical intensive care unit.
    Nistal-Nuño B
    Comput Methods Programs Biomed; 2022 Apr; 216():106663. PubMed ID: 35123348
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning prediction of postoperative major adverse cardiovascular events in geriatric patients: a prospective cohort study.
    Peng X; Zhu T; Wang T; Wang F; Li K; Hao X
    BMC Anesthesiol; 2022 Sep; 22(1):284. PubMed ID: 36088288
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.
    Rahmani K; Thapa R; Tsou P; Casie Chetty S; Barnes G; Lam C; Foon Tso C
    Int J Med Inform; 2023 May; 173():104930. PubMed ID: 36893656
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
    Chen X; Pan J; Li Y; Tang R
    Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU.
    Xie W; Li Y; Meng X; Zhao M
    Int J Med Inform; 2023 Jun; 174():105049. PubMed ID: 37001474
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.
    Rahmani K; Thapa R; Tsou P; Chetty SC; Barnes G; Lam C; Tso CF
    medRxiv; 2022 Jun; ():. PubMed ID: 35702157
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study.
    Yu JR; Chen CH; Huang TW; Lu JJ; Chung CR; Lin TW; Wu MH; Tseng YJ; Wang HY
    J Med Internet Res; 2022 Jan; 24(1):e28036. PubMed ID: 35076405
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data.
    Seki T; Kawazoe Y; Ohe K
    PLoS One; 2021; 16(2):e0246640. PubMed ID: 33544775
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction and Evaluation of Machine Learning Algorithm for Prediction of Blood Transfusion during Cesarean Section and Analysis of Risk Factors of Hypothermia during Anesthesia Recovery.
    Ren W; Li D; Wang J; Zhang J; Fu Z; Yao Y
    Comput Math Methods Med; 2022; 2022():8661324. PubMed ID: 35465016
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
    Qiu B; Shen Z; Wu S; Qin X; Yang D; Wang Q
    Front Oncol; 2023; 13():1235121. PubMed ID: 37655097
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.
    Heo JH; Kim T; Shin J; Suh GJ; Kim J; Jung YS; Park SM; Kim S;
    J Korean Med Sci; 2021 Jul; 36(28):e187. PubMed ID: 34282605
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.
    Cheng CY; Chiu IM; Zeng WH; Tsai CM; Lin CR
    Biomed Res Int; 2021; 2021():9590131. PubMed ID: 34589553
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancer.
    Qiu B; Su XH; Qin X; Wang Q
    Front Oncol; 2022; 12():1065468. PubMed ID: 36605425
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning models predicting undertriage in telephone triage.
    Inokuchi R; Iwagami M; Sun Y; Sakamoto A; Tamiya N
    Ann Med; 2022 Dec; 54(1):2990-2997. PubMed ID: 36286496
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
    Lin C; Liang Z; Liu J; Sun W
    Front Surg; 2023; 10():1160085. PubMed ID: 37351328
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of bone metastasis in non-small cell lung cancer based on machine learning.
    Li MP; Liu WC; Sun BL; Zhong NS; Liu ZL; Huang SH; Zhang ZH; Liu JM
    Front Oncol; 2022; 12():1054300. PubMed ID: 36698411
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study.
    Qiu B; Shen Z; Yang D; Wang Q
    Front Oncol; 2023; 13():1183072. PubMed ID: 37293595
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.