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 *

272 related articles for article (PubMed ID: 29383551)

  • 21. 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]  

  • 22. Value of laboratory results in addition to vital signs in a machine learning algorithm to predict in-hospital cardiac arrest: A single-center retrospective cohort study.
    Ueno R; Xu L; Uegami W; Matsui H; Okui J; Hayashi H; Miyajima T; Hayashi Y; Pilcher D; Jones D
    PLoS One; 2020; 15(7):e0235835. PubMed ID: 32658901
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients.
    Moehring RW; Phelan M; Lofgren E; Nelson A; Dodds Ashley E; Anderson DJ; Goldstein BA
    JAMA Netw Open; 2021 Mar; 4(3):e213460. PubMed ID: 33779743
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.
    Samad MD; Ulloa A; Wehner GJ; Jing L; Hartzel D; Good CW; Williams BA; Haggerty CM; Fornwalt BK
    JACC Cardiovasc Imaging; 2019 Apr; 12(4):681-689. PubMed ID: 29909114
    [TBL] [Abstract][Full Text] [Related]  

  • 27. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.
    Shameer K; Johnson KW; Yahi A; Miotto R; Li LI; Ricks D; Jebakaran J; Kovatch P; Sengupta PP; Gelijns S; Moskovitz A; Darrow B; David DL; Kasarskis A; Tatonetti NP; Pinney S; Dudley JT
    Pac Symp Biocomput; 2017; 22():276-287. PubMed ID: 27896982
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study.
    Mahajan A; Deonarine A; Bernal A; Lyons G; Norgeot B
    J Med Internet Res; 2021 Nov; 23(11):e32900. PubMed ID: 34842542
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites.
    Major VJ; Aphinyanaphongs Y
    BMC Med Inform Decis Mak; 2020 Sep; 20(1):214. PubMed ID: 32894128
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy.
    Elfiky AA; Pany MJ; Parikh RB; Obermeyer Z
    JAMA Netw Open; 2018 Jul; 1(3):e180926. PubMed ID: 30646043
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
    Awad A; Bader-El-Den M; McNicholas J; Briggs J
    Int J Med Inform; 2017 Dec; 108():185-195. PubMed ID: 29132626
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Dynamic readmission prediction using routine postoperative laboratory results after radical cystectomy.
    Kirk PS; Liu X; Borza T; Li BY; Sessine M; Zhu K; Lesse O; Qin Y; Jacobs B; Urish K; Helm J; Gilbert S; Weizer A; Montgomery J; Hollenbeck BK; Lavieri M; Skolarus TA
    Urol Oncol; 2020 Apr; 38(4):255-261. PubMed ID: 31953004
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.
    Ye C; Fu T; Hao S; Zhang Y; Wang O; Jin B; Xia M; Liu M; Zhou X; Wu Q; Guo Y; Zhu C; Li YM; Culver DS; Alfreds ST; Stearns F; Sylvester KG; Widen E; McElhinney D; Ling X
    J Med Internet Res; 2018 Jan; 20(1):e22. PubMed ID: 29382633
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of progression from pre-diabetes to diabetes: Development and validation of a machine learning model.
    Cahn A; Shoshan A; Sagiv T; Yesharim R; Goshen R; Shalev V; Raz I
    Diabetes Metab Res Rev; 2020 Feb; 36(2):e3252. PubMed ID: 31943669
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Machine Learning-Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study.
    Lv H; Yang X; Wang B; Wang S; Du X; Tan Q; Hao Z; Liu Y; Yan J; Xia Y
    J Med Internet Res; 2021 Apr; 23(4):e24996. PubMed ID: 33871375
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.
    Lien F; Wang HY; Lu JJ; Wen YH; Chiueh TS
    Med Care; 2021 Mar; 59(3):245-250. PubMed ID: 33027237
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Predicting risk of hospitalization or death among patients receiving primary care in the Veterans Health Administration.
    Wang L; Porter B; Maynard C; Evans G; Bryson C; Sun H; Gupta I; Lowy E; McDonell M; Frisbee K; Nielson C; Kirkland F; Fihn SD
    Med Care; 2013 Apr; 51(4):368-73. PubMed ID: 23269113
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model.
    Lin K; Hu Y; Kong G
    Int J Med Inform; 2019 May; 125():55-61. PubMed ID: 30914181
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The Development and Validation of a Machine Learning Model to Predict Bacteremia and Fungemia in Hospitalized Patients Using Electronic Health Record Data.
    Bhavani SV; Lonjers Z; Carey KA; Afshar M; Gilbert ER; Shah NS; Huang ES; Churpek MM
    Crit Care Med; 2020 Nov; 48(11):e1020-e1028. PubMed ID: 32796184
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record.
    Escobar GJ; LaGuardia JC; Turk BJ; Ragins A; Kipnis P; Draper D
    J Hosp Med; 2012; 7(5):388-95. PubMed ID: 22447632
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.