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 *

163 related articles for article (PubMed ID: 36451926)

  • 21. Machine Learning Models for Cardiovascular Disease Events Prediction.
    Tsarapatsani K; Sakellarios AI; Pezoulas VC; Tsakanikas VD; Kleber ME; Marz W; Michalis LK; Fotiadis DI
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1066-1069. PubMed ID: 36085658
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Electronic Medical Record-Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation.
    Kwon O; Na W; Kang H; Jun TJ; Kweon J; Park GM; Cho Y; Hur C; Chae J; Kang DY; Lee PH; Ahn JM; Park DW; Kang SJ; Lee SW; Lee CW; Park SW; Park SJ; Yang DH; Kim YH
    JMIR Med Inform; 2022 May; 10(5):e26801. PubMed ID: 35544292
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Development and validation of machine learning models to predict frailty risk for elderly.
    Zhang W; Wang J; Xie F; Wang X; Dong S; Luo N; Li F; Li Y
    J Adv Nurs; 2024 Apr; ():. PubMed ID: 38605460
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Machine learning-based prediction of 1-year mortality in hypertensive patients undergoing coronary revascularization surgery.
    Behnoush AH; Khalaji A; Rezaee M; Momtahen S; Mansourian S; Bagheri J; Masoudkabir F; Hosseini K
    Clin Cardiol; 2023 Mar; 46(3):269-278. PubMed ID: 36588391
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Validity of Machine Learning in Predicting Giant Cell Arteritis Flare After Glucocorticoids Tapering.
    Venerito V; Emmi G; Cantarini L; Leccese P; Fornaro M; Fabiani C; Lascaro N; Coladonato L; Mattioli I; Righetti G; Malandrino D; Tangaro S; Palermo A; Urban ML; Conticini E; Frediani B; Iannone F; Lopalco G
    Front Immunol; 2022; 13():860877. PubMed ID: 35450069
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission.
    Sievering AW; Wohlmuth P; Geßler N; Gunawardene MA; Herrlinger K; Bein B; Arnold D; Bergmann M; Nowak L; Gloeckner C; Koch I; Bachmann M; Herborn CU; Stang A
    BMC Med Inform Decis Mak; 2022 Nov; 22(1):309. PubMed ID: 36437469
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting hospitalization following psychiatric crisis care using machine learning.
    Blankers M; van der Post LFM; Dekker JJM
    BMC Med Inform Decis Mak; 2020 Dec; 20(1):332. PubMed ID: 33302948
    [TBL] [Abstract][Full Text] [Related]  

  • 29. What drives performance in machine learning models for predicting heart failure outcome?
    Gutman R; Aronson D; Caspi O; Shalit U
    Eur Heart J Digit Health; 2023 May; 4(3):175-187. PubMed ID: 37265860
    [TBL] [Abstract][Full Text] [Related]  

  • 30. The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease.
    Simon S; Mandair D; Albakri A; Fohner A; Simon N; Lange L; Biggs M; Mukamal K; Psaty B; Rosenberg M
    JMIR Cardio; 2022 Nov; 6(2):e38040. PubMed ID: 36322114
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database.
    Nudel J; Bishara AM; de Geus SWL; Patil P; Srinivasan J; Hess DT; Woodson J
    Surg Endosc; 2021 Jan; 35(1):182-191. PubMed ID: 31953733
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Machine Learning Outperforms Logistic Regression Analysis to Predict Next-Season NHL Player Injury: An Analysis of 2322 Players From 2007 to 2017.
    Luu BC; Wright AL; Haeberle HS; Karnuta JM; Schickendantz MS; Makhni EC; Nwachukwu BU; Williams RJ; Ramkumar PN
    Orthop J Sports Med; 2020 Sep; 8(9):2325967120953404. PubMed ID: 33029545
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of Multivariable Logistic Regression and Other Machine Learning Algorithms for Prognostic Prediction Studies in Pregnancy Care: Systematic Review and Meta-Analysis.
    Sufriyana H; Husnayain A; Chen YL; Kuo CY; Singh O; Yeh TY; Wu YW; Su EC
    JMIR Med Inform; 2020 Nov; 8(11):e16503. PubMed ID: 33200995
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.
    Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY
    Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.
    Hsu JL; Chen KA; Butler LR; Bahraini A; Kapadia MR; Gomez SM; Farrell TM
    Surg Endosc; 2023 Sep; 37(9):7121-7127. PubMed ID: 37311893
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine learning algorithms identify hypokalaemia risk in people with hypertension in the United States National Health and Nutrition Examination Survey 1999-2018.
    Lin Z; Cheng YT; Cheung BMY
    Ann Med; 2023 Dec; 55(1):2209336. PubMed ID: 37162442
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait.
    Farran B; AlWotayan R; Alkandari H; Al-Abdulrazzaq D; Channanath A; Thanaraj TA
    Front Endocrinol (Lausanne); 2019; 10():624. PubMed ID: 31572303
    [No Abstract]   [Full Text] [Related]  

  • 39. Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.
    Li C; Chen L; Chou C; Ngorsuraches S; Qian J
    Cardiovasc Toxicol; 2022 Feb; 22(2):130-140. PubMed ID: 34792740
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparison of machine learning models for bluetongue risk prediction: a seroprevalence study on small ruminants.
    Gouda HF; Hassan FAM; El-Araby EE; Moawed SA
    BMC Vet Res; 2022 Nov; 18(1):394. PubMed ID: 36348478
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.