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Pubmed for Handhelds

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Journal Abstract Search

465 related items for PubMed ID: 38380369

  • 21.
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  • 22. Development and Validation of an Interpretable Machine Learning Prediction Model for Total Pathological Complete Response after Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer: Multicenter Retrospective Analysis.
    Zhang Z, Cao B, Wu J, Feng C.
    J Cancer; 2024; 15(15):5058-5071. PubMed ID: 39132160
    [Abstract] [Full Text] [Related]

  • 23.
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  • 24. Prediction model of atrial fibrillation recurrence after Cox-Maze IV procedure in patients with chronic valvular disease and atrial fibrillation based on machine learning algorithm.
    Jiang Z, Song L, Liang C, Zhang H, Liu L.
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2023 Jul 28; 48(7):995-1007. PubMed ID: 37724402
    [Abstract] [Full Text] [Related]

  • 25. A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy.
    Dai T, Bao M, Zhang M, Wang Z, Tang J, Liu Z.
    BMC Med Inform Decis Mak; 2024 Aug 08; 24(1):224. PubMed ID: 39118122
    [Abstract] [Full Text] [Related]

  • 26. Clinical decision support systems for 3-month mortality in elderly patients admitted to ICU with ischemic stroke using interpretable machine learning.
    Huang J, Liu X, Jin W.
    Digit Health; 2024 Aug 08; 10():20552076241280126. PubMed ID: 39314817
    [Abstract] [Full Text] [Related]

  • 27. A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.
    Zhang G, Shi Y, Yin P, Liu F, Fang Y, Li X, Zhang Q, Zhang Z.
    Front Oncol; 2022 Aug 08; 12():944569. PubMed ID: 35957890
    [Abstract] [Full Text] [Related]

  • 28. Prediction of Acute Kidney Injury after Extracorporeal Cardiac Surgery (CSA-AKI) by Machine Learning Algorithms.
    Tong Y, Niu X, Liu F.
    Heart Surg Forum; 2023 Oct 25; 26(5):E537-E551. PubMed ID: 37920093
    [Abstract] [Full Text] [Related]

  • 29. Machine learning-based risk prediction of hypoxemia for outpatients undergoing sedation colonoscopy: a practical clinical tool.
    Lu W, Tong Y, Zhao X, Feng Y, Zhong Y, Fang Z, Chen C, Huang K, Si Y, Zou J.
    Postgrad Med; 2024 Jan 25; 136(1):84-94. PubMed ID: 38314753
    [Abstract] [Full Text] [Related]

  • 30. An explainable machine learning-based model to predict intensive care unit admission among patients with community-acquired pneumonia and connective tissue disease.
    Huang D, Gong L, Wei C, Wang X, Liang Z.
    Respir Res; 2024 Jun 18; 25(1):246. PubMed ID: 38890628
    [Abstract] [Full Text] [Related]

  • 31. Mesorectal fat area as a useful predictor of the difficulty of robotic-assisted laparoscopic total mesorectal excision for rectal cancer.
    Yamaoka Y, Yamaguchi T, Kinugasa Y, Shiomi A, Kagawa H, Yamakawa Y, Furutani A, Manabe S, Torii K, Koido K, Mori K.
    Surg Endosc; 2019 Feb 18; 33(2):557-566. PubMed ID: 30006838
    [Abstract] [Full Text] [Related]

  • 32. Development of a machine learning algorithm to predict complications of total laparoscopic anterior resection and natural orifice specimen extraction surgery in rectal cancer.
    Wei R, Guan X, Liu E, Zhang W, Lv J, Huang H, Zhao Z, Chen H, Liu Z, Jiang Z, Wang X.
    Eur J Surg Oncol; 2023 Jul 18; 49(7):1258-1268. PubMed ID: 36653246
    [Abstract] [Full Text] [Related]

  • 33. Development and validation of machine-learning models for the difficulty of retroperitoneal laparoscopic adrenalectomy based on radiomics.
    Sun S, Yao W, Wang Y, Yue P, Guo F, Deng X, Zhang Y.
    Front Endocrinol (Lausanne); 2023 Jul 18; 14():1265790. PubMed ID: 38034013
    [Abstract] [Full Text] [Related]

  • 34. Surgical Methods and Social Factors Are Associated With Long-Term Survival in Follicular Thyroid Carcinoma: Construction and Validation of a Prognostic Model Based on Machine Learning Algorithms.
    Mao Y, Huang Y, Xu L, Liang J, Lin W, Huang H, Li L, Wen J, Chen G.
    Front Oncol; 2022 Jul 18; 12():816427. PubMed ID: 35800057
    [Abstract] [Full Text] [Related]

  • 35. Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study.
    Oh SS, Kuang I, Jeong H, Song JY, Ren B, Moon JY, Park EC, Kawachi I.
    J Med Internet Res; 2023 Jul 18; 25():e45041. PubMed ID: 37463016
    [Abstract] [Full Text] [Related]

  • 36. Prognosis prediction and risk stratification of transarterial chemoembolization or intraarterial chemotherapy for unresectable hepatocellular carcinoma based on machine learning.
    Liu W, Wei R, Chen J, Li Y, Pang H, Zhang W, An C, Li C.
    Eur Radiol; 2024 Aug 18; 34(8):5094-5107. PubMed ID: 38291256
    [Abstract] [Full Text] [Related]

  • 37. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
    Bai BL, Wu ZY, Weng SJ, Yang Q.
    Cancer Med; 2023 Feb 18; 12(4):5025-5034. PubMed ID: 36082478
    [Abstract] [Full Text] [Related]

  • 38. Prediction of subjective cognitive decline after corpus callosum infarction by an interpretable machine learning-derived early warning strategy.
    Xu Y, Sun X, Liu Y, Huang Y, Liang M, Sun R, Yin G, Song C, Ding Q, Du B, Bi X.
    Front Neurol; 2023 Feb 18; 14():1123607. PubMed ID: 37416313
    [Abstract] [Full Text] [Related]

  • 39. Optimized machine learning model for predicting unplanned reoperation after rectal cancer anterior resection.
    Su Y, Li Y, Yang W, Luo X, Chen L.
    Eur J Surg Oncol; 2024 Dec 18; 50(12):108703. PubMed ID: 39326305
    [Abstract] [Full Text] [Related]

  • 40. Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.
    Zhou S, Lu Z, Liu Y, Wang M, Zhou W, Cui X, Zhang J, Xiao W, Hua T, Zhu H, Yang M.
    Eur J Med Res; 2024 Jan 03; 29(1):14. PubMed ID: 38172962
    [Abstract] [Full Text] [Related]

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