BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 36128798)

  • 1. Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration.
    Shim S; Yu JY; Jekal S; Song YJ; Moon KT; Lee JH; Yeom KM; Park SH; Cho IS; Song MR; Heo S; Hong JH
    Clin Exp Emerg Med; 2022 Dec; 9(4):345-353. PubMed ID: 36128798
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach.
    Lindberg DS; Prosperi M; Bjarnadottir RI; Thomas J; Crane M; Chen Z; Shear K; Solberg LM; Snigurska UA; Wu Y; Xia Y; Lucero RJ
    Int J Med Inform; 2020 Nov; 143():104272. PubMed ID: 32980667
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning Study.
    Hur S; Min JY; Yoo J; Kim K; Chung CR; Dykes PC; Cha WC
    J Med Internet Res; 2021 Aug; 23(8):e23508. PubMed ID: 34382940
    [TBL] [Abstract][Full Text] [Related]  

  • 5. In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.
    Choi JH; Choi ES; Park D
    BMC Med Inform Decis Mak; 2023 Nov; 23(1):246. PubMed ID: 37915000
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial Intelligence-Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study.
    Chen W; Lu Z; You L; Zhou L; Xu J; Chen K
    JMIR Med Inform; 2020 Jun; 8(6):e18186. PubMed ID: 32538798
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning prediction of postoperative major adverse cardiovascular events in geriatric patients: a prospective cohort study.
    Peng X; Zhu T; Wang T; Wang F; Li K; Hao X
    BMC Anesthesiol; 2022 Sep; 22(1):284. PubMed ID: 36088288
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.
    MacKay EJ; Stubna MD; Chivers C; Draugelis ME; Hanson WJ; Desai ND; Groeneveld PW
    PLoS One; 2021; 16(6):e0252585. PubMed ID: 34081720
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Machine Learning-Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study.
    Hur S; Ko RE; Yoo J; Ha J; Cha WC; Chung CR
    JMIR Med Inform; 2021 Jul; 9(7):e23401. PubMed ID: 34309567
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation.
    Nguyen KA; Tandon P; Ghanavati S; Cheetirala SN; Timsina P; Freeman R; Reich D; Levin MA; Mazumdar M; Fayad ZA; Kia A
    JMIR Form Res; 2023 Oct; 7():e46905. PubMed ID: 37883177
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
    Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
    JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment.
    Chu WM; Kristiani E; Wang YC; Lin YR; Lin SY; Chan WC; Yang CT; Tsan YT
    Front Med (Lausanne); 2022; 9():937216. PubMed ID: 36016999
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records.
    Dong Z; Wang Q; Ke Y; Zhang W; Hong Q; Liu C; Liu X; Yang J; Xi Y; Shi J; Zhang L; Zheng Y; Lv Q; Wang Y; Wu J; Sun X; Cai G; Qiao S; Yin C; Su S; Chen X
    J Transl Med; 2022 Mar; 20(1):143. PubMed ID: 35346252
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.
    Sarvestany SS; Kwong JC; Azhie A; Dong V; Cerocchi O; Ali AF; Karnam RS; Kuriry H; Shengir M; Candido E; Duchen R; Sebastiani G; Patel K; Goldenberg A; Bhat M
    Lancet Digit Health; 2022 Mar; 4(3):e188-e199. PubMed ID: 35216753
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning algorithms for early sepsis detection in the emergency department: A retrospective study.
    Kijpaisalratana N; Sanglertsinlapachai D; Techaratsami S; Musikatavorn K; Saoraya J
    Int J Med Inform; 2022 Apr; 160():104689. PubMed ID: 35078027
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and Internal Validation of a Prediction Model for Falls Using Electronic Health Records in a Hospital Setting.
    Dormosh N; Damoiseaux-Volman BA; van der Velde N; Medlock S; Romijn JA; Abu-Hanna A
    J Am Med Dir Assoc; 2023 Jul; 24(7):964-970.e5. PubMed ID: 37060922
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model.
    Lee HC; Yoon SB; Yang SM; Kim WH; Ryu HG; Jung CW; Suh KS; Lee KH
    J Clin Med; 2018 Nov; 7(11):. PubMed ID: 30413107
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach.
    Song W; Latham NK; Liu L; Rice HE; Sainlaire M; Min L; Zhang L; Thai T; Kang MJ; Li S; Tejeda C; Lipsitz S; Samal L; Carroll DL; Adkison L; Herlihy L; Ryan V; Bates DW; Dykes PC
    J Am Geriatr Soc; 2024 Apr; 72(4):1145-1154. PubMed ID: 38217355
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance assessment of the metastatic spinal tumor frailty index using machine learning algorithms: limitations and future directions.
    Massaad E; Williams N; Hadzipasic M; Patel SS; Fourman MS; Kiapour A; Schoenfeld AJ; Shankar GM; Shin JH
    Neurosurg Focus; 2021 May; 50(5):E5. PubMed ID: 33932935
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.