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 *

206 related articles for article (PubMed ID: 36873141)

  • 21. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.
    Liu Q; Pang B; Li H; Zhang B; Liu Y; Lai L; Le W; Li J; Xia T; Zhang X; Ou C; Ma J; Li S; Guo X; Zhang S; Zhang Q; Jiang M; Zeng Q
    J Thorac Dis; 2021 Feb; 13(2):1215-1229. PubMed ID: 33717594
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prediction of Atrial Fibrillation in Hospitalized Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Mellitus Using Machine Learning: A Multicenter Retrospective Study.
    Xu Q; Peng Y; Tan J; Zhao W; Yang M; Tian J
    Front Public Health; 2022; 10():842104. PubMed ID: 35309227
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records.
    Dong Z; Wang Q; Ke Y; Zhang W; Hong Q; Liu C; Liu X; Yang J; Xi Y; Shi J; Zhang L; Zheng Y; Lv Q; Wang Y; Wu J; Sun X; Cai G; Qiao S; Yin C; Su S; Chen X
    J Transl Med; 2022 Mar; 20(1):143. PubMed ID: 35346252
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches.
    Kazerouni F; Bayani A; Asadi F; Saeidi L; Parvizi N; Mansoori Z
    BMC Bioinformatics; 2020 Aug; 21(1):372. PubMed ID: 32854616
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques.
    Liu Q; Zhang M; He Y; Zhang L; Zou J; Yan Y; Guo Y
    J Pers Med; 2022 May; 12(6):. PubMed ID: 35743691
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Machine Learning Models for Prediction of Severe
    Liu Y; Qiu T; Hu H; Kong C; Zhang Y; Wang T; Zhou J; Zou J
    Diagnostics (Basel); 2023 Aug; 13(17):. PubMed ID: 37685276
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
    Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
    BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
    Tseng PY; Chen YT; Wang CH; Chiu KM; Peng YS; Hsu SP; Chen KL; Yang CY; Lee OK
    Crit Care; 2020 Jul; 24(1):478. PubMed ID: 32736589
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer.
    Al-Azzam N; Shatnawi I
    Ann Med Surg (Lond); 2021 Feb; 62():53-64. PubMed ID: 33489117
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules.
    Li W; Hong T; Fang J; Liu W; Liu Y; He C; Li X; Xu C; Wang B; Chen Y; Sun C; Li W; Kang W; Yin C
    Front Oncol; 2022; 12():968784. PubMed ID: 36568189
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Predictive model and risk analysis for diabetic retinopathy using machine learning: a retrospective cohort study in China.
    Li W; Song Y; Chen K; Ying J; Zheng Z; Qiao S; Yang M; Zhang M; Zhang Y
    BMJ Open; 2021 Nov; 11(11):e050989. PubMed ID: 34836899
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Integration of the Extreme Gradient Boosting model with electronic health records to enable the early diagnosis of multiple sclerosis.
    Wang R; Luo W; Liu Z; Liu W; Liu C; Liu X; Zhu H; Li R; Song J; Hu X; Han S; Qiu W
    Mult Scler Relat Disord; 2021 Jan; 47():102632. PubMed ID: 33276240
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning.
    Lian X; Qi J; Yuan M; Li X; Wang M; Li G; Yang T; Zhong J
    BMC Med Inform Decis Mak; 2023 Aug; 23(1):146. PubMed ID: 37533059
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study.
    Luo XQ; Kang YX; Duan SB; Yan P; Song GB; Zhang NY; Yang SK; Li JX; Zhang H
    J Med Internet Res; 2023 Jan; 25():e41142. PubMed ID: 36603200
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients.
    Chowdhury NH; Reaz MBI; Haque F; Ahmad S; Ali SHM; A Bakar AA; Bhuiyan MAS
    Diagnostics (Basel); 2021 Dec; 11(12):. PubMed ID: 34943504
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer's disease based on interpretable machine learning.
    Lai Y; Lin X; Lin C; Lin X; Chen Z; Zhang L
    Front Pharmacol; 2022; 13():975774. PubMed ID: 36059957
    [No Abstract]   [Full Text] [Related]  

  • 38. Mapping the spatial distribution of the dengue vector
    Rahman MS; Pientong C; Zafar S; Ekalaksananan T; Paul RE; Haque U; Rocklöv J; Overgaard HJ
    One Health; 2021 Dec; 13():100358. PubMed ID: 34934797
    [TBL] [Abstract][Full Text] [Related]  

  • 39. [Study on traditional Chinese medicine common syndrome characteristic of coronavirus disease 2019 based on latent structure combined with system clustering analysis].
    Feng Z; Xie Y; Chun L; Li J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 May; 32(5):537-543. PubMed ID: 32576343
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Machine Learning to Predict the Response to Lenvatinib Combined with Transarterial Chemoembolization for Unresectable Hepatocellular Carcinoma.
    Ma J; Bo Z; Zhao Z; Yang J; Yang Y; Li H; Yang Y; Wang J; Su Q; Wang J; Chen K; Yu Z; Wang Y; Chen G
    Cancers (Basel); 2023 Jan; 15(3):. PubMed ID: 36765583
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.