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 *

250 related articles for article (PubMed ID: 38206379)

  • 1. Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data.
    Muehlensiepen F; Petit P; Knitza J; Welcker M; Vuillerme N
    Rheumatol Int; 2024 Mar; 44(3):523-534. PubMed ID: 38206379
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Factors Associated With Telemedicine Use Among Patients With Rheumatic and Musculoskeletal Disease: Secondary Analysis of Data From a German Nationwide Survey.
    Muehlensiepen F; Petit P; Knitza J; Welcker M; Vuillerme N
    J Med Internet Res; 2023 Jan; 25():e40912. PubMed ID: 36705950
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ability and willingness to utilize telemedicine among rheumatology patients-a cross-sectional survey.
    Kong SS; Otalora Rojas LA; Ashour A; Robinson M; Hosterman T; Bhanusali N
    Clin Rheumatol; 2021 Dec; 40(12):5087-5093. PubMed ID: 34219187
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Factors Associated With Telemedicine Use Among German General Practitioners and Rheumatologists: Secondary Analysis of Data From a Nationwide Survey.
    Muehlensiepen F; Petit P; Knitza J; Welcker M; Vuillerme N
    J Med Internet Res; 2022 Nov; 24(11):e40304. PubMed ID: 36449333
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Interactive telemedicine: effects on professional practice and health care outcomes.
    Flodgren G; Rachas A; Farmer AJ; Inzitari M; Shepperd S
    Cochrane Database Syst Rev; 2015 Sep; 2015(9):CD002098. PubMed ID: 26343551
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
    Liu L; Bi B; Cao L; Gui M; Ju F
    Front Endocrinol (Lausanne); 2024; 15():1320335. PubMed ID: 38481447
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep convolutional neural network and IoT technology for healthcare.
    Wassan S; Dongyan H; Suhail B; Jhanjhi NZ; Xiao G; Ahmed S; Murugesan RK
    Digit Health; 2024; 10():20552076231220123. PubMed ID: 38250147
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Digital health: a new dimension in rheumatology patient care.
    Kataria S; Ravindran V
    Rheumatol Int; 2018 Nov; 38(11):1949-1957. PubMed ID: 29713795
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Evaluation of the use of video consultation in German rheumatology care before and during the COVID-19 pandemic.
    Richter JG; Chehab G; Reiter J; Aries P; Muehlensiepen F; Welcker M; Acar H; Voormann A; Schneider M; Specker C
    Front Med (Lausanne); 2022; 9():1052055. PubMed ID: 36507506
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Comparison of machine learning and Logistic regression model in predicting acute kidney injury after cardiac surgery: data analysis based on MIMIC-III database].
    Xiong W; Zhang L; She K; Xu G; Bai S; Liu X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Nov; 34(11):1188-1193. PubMed ID: 36567564
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Opportunities and Barriers of Telemedicine in Rheumatology: A Participatory, Mixed-Methods Study.
    Muehlensiepen F; Knitza J; Marquardt W; May S; Krusche M; Hueber A; Schwarz J; Vuillerme N; Heinze M; Welcker M
    Int J Environ Res Public Health; 2021 Dec; 18(24):. PubMed ID: 34948737
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessment of willingness to Tele-monitoring interventions in patients with type 2 diabetes and/or hypertension in the public primary healthcare setting.
    Sin DYE; Guo X; Yong DWW; Qiu TY; Moey PKS; Falk MR; Tan NC
    BMC Med Inform Decis Mak; 2020 Jan; 20(1):11. PubMed ID: 31992288
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus.
    Wu X; Zhai F; Chang A; Wei J; Guo Y; Zhang J
    J Endocrinol Invest; 2023 Dec; 46(12):2535-2546. PubMed ID: 37171784
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work.
    Salman OH; Taha Z; Alsabah MQ; Hussein YS; Mohammed AS; Aal-Nouman M
    Comput Methods Programs Biomed; 2021 Sep; 209():106357. PubMed ID: 34438223
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Healthcare stakeholders' perceptions and experiences of factors affecting the implementation of critical care telemedicine (CCT): qualitative evidence synthesis.
    Xyrichis A; Iliopoulou K; Mackintosh NJ; Bench S; Terblanche M; Philippou J; Sandall J
    Cochrane Database Syst Rev; 2021 Feb; 2(2):CD012876. PubMed ID: 33599282
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.