BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

143 related articles for article (PubMed ID: 35506114)

  • 1. Predicting pulmonary embolism among hospitalized patients with machine learning algorithms.
    Ryan L; Maharjan J; Mataraso S; Barnes G; Hoffman J; Mao Q; Calvert J; Das R
    Pulm Circ; 2022 Jan; 12(1):e12013. PubMed ID: 35506114
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients.
    Shen J; Casie Chetty S; Shokouhi S; Maharjan J; Chuba Y; Calvert J; Mao Q
    Thromb Res; 2022 Aug; 216():14-21. PubMed ID: 35679633
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients.
    Panchavati S; Zelin NS; Garikipati A; Pellegrini E; Iqbal Z; Barnes G; Hoffman J; Calvert J; Mao Q; Das R
    Am J Infect Control; 2022 Mar; 50(3):250-257. PubMed ID: 35067382
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Establishment of machine learning-based tool for early detection of pulmonary embolism.
    Liu L; Li Y; Liu N; Luo J; Deng J; Peng W; Bai Y; Zhang G; Zhao G; Yang N; Li C; Long X
    Comput Methods Programs Biomed; 2024 Feb; 244():107977. PubMed ID: 38113803
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Advancing prognostic precision in pulmonary embolism: A clinical and laboratory-based artificial intelligence approach for enhanced early mortality risk stratification.
    Sadegh-Zadeh SA; Sakha H; Movahedi S; Fasihi Harandi A; Ghaffari S; Javanshir E; Ali SA; Hooshanginezhad Z; Hajizadeh R
    Comput Biol Med; 2023 Dec; 167():107696. PubMed ID: 37979394
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Early Detection of Septic Shock Onset Using Interpretable Machine Learners.
    Misra D; Avula V; Wolk DM; Farag HA; Li J; Mehta YB; Sandhu R; Karunakaran B; Kethireddy S; Zand R; Abedi V
    J Clin Med; 2021 Jan; 10(2):. PubMed ID: 33467539
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A machine learning approach to predicting risk of myelodysplastic syndrome.
    Radhachandran A; Garikipati A; Iqbal Z; Siefkas A; Barnes G; Hoffman J; Mao Q; Das R
    Leuk Res; 2021 Oct; 109():106639. PubMed ID: 34171604
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening.
    Somani SS; Honarvar H; Narula S; Landi I; Lee S; Khachatoorian Y; Rehmani A; Kim A; De Freitas JK; Teng S; Jaladanki S; Kumar A; Russak A; Zhao SP; Freeman R; Levin MA; Nadkarni GN; Kagen AC; Argulian E; Glicksberg BS
    Eur Heart J Digit Health; 2022 Mar; 3(1):56-66. PubMed ID: 35355847
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.
    Maharjan J; Ektefaie Y; Ryan L; Mataraso S; Barnes G; Shokouhi S; Green-Saxena A; Calvert J; Mao Q; Das R
    Front Neurol; 2021; 12():784250. PubMed ID: 35145468
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications.
    Xue B; Li D; Lu C; King CR; Wildes T; Avidan MS; Kannampallil T; Abraham J
    JAMA Netw Open; 2021 Mar; 4(3):e212240. PubMed ID: 33783520
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.
    Ruan Y; Bellot A; Moysova Z; Tan GD; Lumb A; Davies J; van der Schaar M; Rea R
    Diabetes Care; 2020 Jul; 43(7):1504-1511. PubMed ID: 32350021
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. The Feasibility of a Machine Learning Approach in Predicting Successful Ventilator Mode Shifting for Adult Patients in the Medical Intensive Care Unit.
    Cheng KH; Tan MC; Chang YJ; Lin CW; Lin YH; Chang TM; Kuo LK
    Medicina (Kaunas); 2022 Mar; 58(3):. PubMed ID: 35334536
    [No Abstract]   [Full Text] [Related]  

  • 19. Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.
    DeVries Z; Hoda M; Rivers CS; Maher A; Wai E; Moravek D; Stratton A; Kingwell S; Fallah N; Paquet J; Phan P;
    Spine J; 2020 Feb; 20(2):213-224. PubMed ID: 31525468
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Novelelectronic health records applied for prediction of pre-eclampsia: Machine-learning algorithms.
    Li YX; Shen XP; Yang C; Cao ZZ; Du R; Yu MD; Wang JP; Wang M
    Pregnancy Hypertens; 2021 Dec; 26():102-109. PubMed ID: 34739939
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.