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: 36536006)

  • 1. Explainable machine learning framework for predicting long-term cardiovascular disease risk among adolescents.
    Salah H; Srinivas S
    Sci Rep; 2022 Dec; 12(1):21905. PubMed ID: 36536006
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants.
    Alaa AM; Bolton T; Di Angelantonio E; Rudd JHF; van der Schaar M
    PLoS One; 2019; 14(5):e0213653. PubMed ID: 31091238
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.
    Jamthikar AD; Gupta D; Mantella LE; Saba L; Laird JR; Johri AM; Suri JS
    Int J Cardiovasc Imaging; 2021 Apr; 37(4):1171-1187. PubMed ID: 33184741
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
    Dinh A; Miertschin S; Young A; Mohanty SD
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Can machine-learning improve cardiovascular risk prediction using routine clinical data?
    Weng SF; Reps J; Kai J; Garibaldi JM; Qureshi N
    PLoS One; 2017; 12(4):e0174944. PubMed ID: 28376093
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries.
    Islam SMS; Talukder A; Awal MA; Siddiqui MMU; Ahamad MM; Ahammed B; Rawal LB; Alizadehsani R; Abawajy J; Laranjo L; Chow CK; Maddison R
    Front Cardiovasc Med; 2022; 9():839379. PubMed ID: 35433854
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
    Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
    JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention.
    Dogan A; Li Y; Peter Odo C; Sonawane K; Lin Y; Liu C
    J Biomed Inform; 2023 May; 141():104342. PubMed ID: 36963450
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.
    Kawakami E; Tabata J; Yanaihara N; Ishikawa T; Koseki K; Iida Y; Saito M; Komazaki H; Shapiro JS; Goto C; Akiyama Y; Saito R; Saito M; Takano H; Yamada K; Okamoto A
    Clin Cancer Res; 2019 May; 25(10):3006-3015. PubMed ID: 30979733
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk.
    Shah A; Ahirrao S; Pandya S; Kotecha K; Rathod S
    Front Public Health; 2021; 9():762303. PubMed ID: 34746087
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pathways between childhood/adolescent adversity, adolescent socioeconomic status, and long-term cardiovascular disease risk in young adulthood.
    Doom JR; Mason SM; Suglia SF; Clark CJ
    Soc Sci Med; 2017 Sep; 188():166-175. PubMed ID: 28747248
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cardiovascular Disease Prediction by Machine Learning Algorithms Based on Cytokines in Kazakhs of China.
    Jiang Y; Zhang X; Ma R; Wang X; Liu J; Keerman M; Yan Y; Ma J; Song Y; Zhang J; He J; Guo S; Guo H
    Clin Epidemiol; 2021; 13():417-428. PubMed ID: 34135637
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
    Vaid A; Somani S; Russak AJ; De Freitas JK; Chaudhry FF; Paranjpe I; Johnson KW; Lee SJ; Miotto R; Richter F; Zhao S; Beckmann ND; Naik N; Kia A; Timsina P; Lala A; Paranjpe M; Golden E; Danieletto M; Singh M; Meyer D; O'Reilly PF; Huckins L; Kovatch P; Finkelstein J; Freeman RM; Argulian E; Kasarskis A; Percha B; Aberg JA; Bagiella E; Horowitz CR; Murphy B; Nestler EJ; Schadt EE; Cho JH; Cordon-Cardo C; Fuster V; Charney DS; Reich DL; Bottinger EP; Levin MA; Narula J; Fayad ZA; Just AC; Charney AW; Nadkarni GN; Glicksberg BS
    J Med Internet Res; 2020 Nov; 22(11):e24018. PubMed ID: 33027032
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.
    Chen C; Yang D; Gao S; Zhang Y; Chen L; Wang B; Mo Z; Yang Y; Hei Z; Zhou S
    Respir Res; 2021 Mar; 22(1):94. PubMed ID: 33789673
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction.
    Zhao J; Feng Q; Wu P; Lupu RA; Wilke RA; Wells QS; Denny JC; Wei WQ
    Sci Rep; 2019 Jan; 9(1):717. PubMed ID: 30679510
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Using Machine Learning to Evaluate the Role of Microinflammation in Cardiovascular Events in Patients With Chronic Kidney Disease.
    Liu XQ; Jiang TT; Wang MY; Liu WT; Huang Y; Huang YL; Jin FY; Zhao Q; Wang GH; Ruan XZ; Liu BC; Ma KL
    Front Immunol; 2021; 12():796383. PubMed ID: 35082785
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
    Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury.
    Thongprayoon C; Pattharanitima P; Kattah AG; Mao MA; Keddis MT; Dillon JJ; Kaewput W; Tangpanithandee S; Krisanapan P; Qureshi F; Cheungpasitporn W
    J Clin Med; 2022 Oct; 11(21):. PubMed ID: 36362493
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
    Rahimian F; Salimi-Khorshidi G; Payberah AH; Tran J; Ayala Solares R; Raimondi F; Nazarzadeh M; Canoy D; Rahimi K
    PLoS Med; 2018 Nov; 15(11):e1002695. PubMed ID: 30458006
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.