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 *

160 related articles for article (PubMed ID: 33441908)

  • 1. Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients.
    Lewis M; Elad G; Beladev M; Maor G; Radinsky K; Hermann D; Litani Y; Geller T; Pines JM; Shapiro NL; Figueroa JF
    Sci Rep; 2021 Jan; 11(1):1164. PubMed ID: 33441908
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes.
    Desai RJ; Wang SV; Vaduganathan M; Evers T; Schneeweiss S
    JAMA Netw Open; 2020 Jan; 3(1):e1918962. PubMed ID: 31922560
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Emergency department triage prediction of clinical outcomes using machine learning models.
    Raita Y; Goto T; Faridi MK; Brown DFM; Camargo CA; Hasegawa K
    Crit Care; 2019 Feb; 23(1):64. PubMed ID: 30795786
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department.
    Rahmatinejad Z; Dehghani T; Hoseini B; Rahmatinejad F; Lotfata A; Reihani H; Eslami S
    Sci Rep; 2024 Feb; 14(1):3406. PubMed ID: 38337000
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
    Taylor RA; Pare JR; Venkatesh AK; Mowafi H; Melnick ER; Fleischman W; Hall MK
    Acad Emerg Med; 2016 Mar; 23(3):269-78. PubMed ID: 26679719
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data.
    Nitski O; Azhie A; Qazi-Arisar FA; Wang X; Ma S; Lilly L; Watt KD; Levitsky J; Asrani SK; Lee DS; Rubin BB; Bhat M; Wang B
    Lancet Digit Health; 2021 May; 3(5):e295-e305. PubMed ID: 33858815
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model.
    Gao Z; Liu X; Kang Y; Hu P; Zhang X; Yan W; Yan M; Yu P; Zhang Q; Xiao W; Zhang Z
    J Med Internet Res; 2024 May; 26():e54363. PubMed ID: 38696251
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
    Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
    Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis.
    Ioannou GN; Tang W; Beste LA; Tincopa MA; Su GL; Van T; Tapper EB; Singal AG; Zhu J; Waljee AK
    JAMA Netw Open; 2020 Sep; 3(9):e2015626. PubMed ID: 32870314
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.
    Goto T; Camargo CA; Faridi MK; Freishtat RJ; Hasegawa K
    JAMA Netw Open; 2019 Jan; 2(1):e186937. PubMed ID: 30646206
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction.
    Wang Z; Chen X; Tan X; Yang L; Kannapur K; Vincent JL; Kessler GN; Ru B; Yang M
    J Health Econ Outcomes Res; 2021; 8(2):6-13. PubMed ID: 34414250
    [No Abstract]   [Full Text] [Related]  

  • 13. A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.
    Patel SJ; Chamberlain DB; Chamberlain JM
    Acad Emerg Med; 2018 Dec; 25(12):1463-1470. PubMed ID: 30382605
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women.
    Shim JG; Kim DW; Ryu KH; Cho EA; Ahn JH; Kim JI; Lee SH
    Arch Osteoporos; 2020 Oct; 15(1):169. PubMed ID: 33097976
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification.
    Kwon JM; Kim KH; Jeon KH; Kim HM; Kim MJ; Lim SM; Song PS; Park J; Choi RK; Oh BH
    Korean Circ J; 2019 Jul; 49(7):629-639. PubMed ID: 31074221
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods.
    Decruyenaere A; Decruyenaere P; Peeters P; Vermassen F; Dhaene T; Couckuyt I
    BMC Med Inform Decis Mak; 2015 Oct; 15():83. PubMed ID: 26466993
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Contribution of preventable acute care spending to total spending for high-cost Medicare patients.
    Joynt KE; Gawande AA; Orav EJ; Jha AK
    JAMA; 2013 Jun; 309(24):2572-8. PubMed ID: 23797716
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques.
    Saggu S; Daneshvar H; Samavi R; Pires P; Sassi RB; Doyle TE; Zhao J; Mauluddin A; Duncan L
    BMC Med Inform Decis Mak; 2024 Feb; 24(1):42. PubMed ID: 38331816
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network.
    Huang CC; Sung SH; Wang WT; Su YY; Huang CJ; Chu TY; Chuang SY; Chiang CE; Chen CH; Lin CC; Cheng HM
    Phys Eng Sci Med; 2024 Jun; 47(2):477-489. PubMed ID: 38361179
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.
    Kwon JM; Kim KH; Jeon KH; Park J
    Echocardiography; 2019 Feb; 36(2):213-218. PubMed ID: 30515886
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.