BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 37369008)

  • 1. DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record.
    Corbin CK; Maclay R; Acharya A; Mony S; Punnathanam S; Thapa R; Kotecha N; Shah NH; Chen JH
    J Am Med Inform Assoc; 2023 Aug; 30(9):1532-1542. PubMed ID: 37369008
    [TBL] [Abstract][Full Text] [Related]  

  • 2. From compute to care: Lessons learned from deploying an early warning system into clinical practice.
    Pou-Prom C; Murray J; Kuzulugil S; Mamdani M; Verma AA
    Front Digit Health; 2022; 4():932123. PubMed ID: 36133802
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A survey of extant organizational and computational setups for deploying predictive models in health systems.
    Kashyap S; Morse KE; Patel B; Shah NH
    J Am Med Inform Assoc; 2021 Oct; 28(11):2445-2450. PubMed ID: 34423364
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A framework for the oversight and local deployment of safe and high-quality prediction models.
    Bedoya AD; Economou-Zavlanos NJ; Goldstein BA; Young A; Jelovsek JE; O'Brien C; Parrish AB; Elengold S; Lytle K; Balu S; Huang E; Poon EG; Pencina MJ
    J Am Med Inform Assoc; 2022 Aug; 29(9):1631-1636. PubMed ID: 35641123
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support.
    Banerjee I; Sofela M; Yang J; Chen JH; Shah NH; Ball R; Mushlin AI; Desai M; Bledsoe J; Amrhein T; Rubin DL; Zamanian R; Lungren MP
    JAMA Netw Open; 2019 Aug; 2(8):e198719. PubMed ID: 31390040
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning-Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance.
    Sun H; Depraetere K; Meesseman L; Cabanillas Silva P; Szymanowsky R; Fliegenschmidt J; Hulde N; von Dossow V; Vanbiervliet M; De Baerdemaeker J; Roccaro-Waldmeyer DM; Stieg J; Domínguez Hidalgo M; Dahlweid FM
    J Med Internet Res; 2022 Jun; 24(6):e34295. PubMed ID: 35502887
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 8. External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.
    Jauk S; Veeranki SPK; Kramer D; Högler S; Mühlecker D; Eberhartl E; Schueler A; Chvosta C; Strasser W; Strasser R; Leodolter W
    Stud Health Technol Inform; 2022 May; 293():93-100. PubMed ID: 35592966
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.
    Ren Y; Loftus TJ; Datta S; Ruppert MM; Guan Z; Miao S; Shickel B; Feng Z; Giordano C; Upchurch GR; Rashidi P; Ozrazgat-Baslanti T; Bihorac A
    JAMA Netw Open; 2022 May; 5(5):e2211973. PubMed ID: 35576007
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study.
    Yoo J; Lee J; Min JY; Choi SW; Kwon JM; Cho I; Lim C; Choi MY; Cha WC
    J Med Internet Res; 2022 Jul; 24(7):e37928. PubMed ID: 35896020
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
    Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
    PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Clinician's Guide to Running Custom Machine-Learning Models in an Electronic Health Record Environment.
    Ryu AJ; Ayanian S; Qian R; Core MA; Heaton HA; Lamb MW; Parikh RS; Boyum JP; Garza EL; Condon JL; Peters SG
    Mayo Clin Proc; 2023 Mar; 98(3):445-450. PubMed ID: 36868752
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study.
    Joe B; Park Y; Hamm J; Shin I; Lee J
    JMIR Med Inform; 2022 Aug; 10(8):e38440. PubMed ID: 35984701
    [TBL] [Abstract][Full Text] [Related]  

  • 14. KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.
    Gruendner J; Schwachhofer T; Sippl P; Wolf N; Erpenbeck M; Gulden C; Kapsner LA; Zierk J; Mate S; Stürzl M; Croner R; Prokosch HU; Toddenroth D
    PLoS One; 2019; 14(10):e0223010. PubMed ID: 31581246
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pivotal challenges in artificial intelligence and machine learning applications for neonatal care.
    Jeong H; Kamaleswaran R
    Semin Fetal Neonatal Med; 2022 Oct; 27(5):101393. PubMed ID: 36266181
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Framework for Integrating Equity Into Machine Learning Models: A Case Study.
    Rojas JC; Fahrenbach J; Makhni S; Cook SC; Williams JS; Umscheid CA; Chin MH
    Chest; 2022 Jun; 161(6):1621-1627. PubMed ID: 35143823
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology.
    Hawkins JR; Olson MP; Harouni A; Qin MM; Hess CP; Majumdar S; Crane JC
    PLOS Digit Health; 2023 Aug; 2(8):e0000227. PubMed ID: 37603542
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.
    Ye C; Wang O; Liu M; Zheng L; Xia M; Hao S; Jin B; Jin H; Zhu C; Huang CJ; Gao P; Ellrodt G; Brennan D; Stearns F; Sylvester KG; Widen E; McElhinney DB; Ling X
    J Med Internet Res; 2019 Jul; 21(7):e13719. PubMed ID: 31278734
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework.
    van der Vegt AH; Scott IA; Dermawan K; Schnetler RJ; Kalke VR; Lane PJ
    J Am Med Inform Assoc; 2023 Jun; 30(7):1349-1361. PubMed ID: 37172264
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating pointwise reliability of machine learning prediction.
    Nicora G; Rios M; Abu-Hanna A; Bellazzi R
    J Biomed Inform; 2022 Mar; 127():103996. PubMed ID: 35041981
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.