BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 33789700)

  • 1. Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.
    Radhachandran A; Garikipati A; Zelin NS; Pellegrini E; Ghandian S; Calvert J; Hoffman J; Mao Q; Das R
    BioData Min; 2021 Mar; 14(1):23. PubMed ID: 33789700
    [TBL] [Abstract][Full Text] [Related]  

  • 2. External Validation and Refinement of Emergency Heart Failure Mortality Risk Grade Risk Model in Patients With Heart Failure in the Emergency Department.
    Sepehrvand N; Youngson E; Bakal JA; McAlister FA; Rowe BH; Ezekowitz JA
    CJC Open; 2019 May; 1(3):123-130. PubMed ID: 32159095
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Implementation of EHMRG Risk Model in an Italian Population of Elderly Patients with Acute Heart Failure.
    Falsetti L; Zaccone V; Guerrieri E; Perrotta G; Diblasi I; Giuliani L; Palma LEG; Viticchi G; Fioranelli A; Moroncini G; Pansoni A; Luccarini M; Martino M; Scalpelli C; Burattini M; Tarquinio N
    J Clin Med; 2022 May; 11(11):. PubMed ID: 35683368
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance of Emergency Heart Failure Mortality Risk Grade in the Emergency Department.
    Garg N; Pekmezaris R; Stevens G; Becerra AZ; Kozikowski A; Patel V; Haddad G; Levy P; Kumar P; Becker L
    West J Emerg Med; 2021 Apr; 22(3):672-677. PubMed ID: 34125045
    [TBL] [Abstract][Full Text] [Related]  

  • 5. What are the Data for Current Prognostic Tools Used to Determine the Risk of Short-Term Adverse Events in Patients with Acute Heart Failure?
    Long B; Keim SM; Gottlieb M; Collins SP
    J Emerg Med; 2023 Dec; 65(6):e600-e613. PubMed ID: 38856703
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of How Emergency Physicians' Decisions to Hospitalize or Discharge Patients With Acute Heart Failure Match the Clinical Risk Categories of the MEESSI-AHF Scale.
    Miró Ò; Rossello X; Gil V; Martín-Sánchez FJ; Llorens P; Herrero-Puente P; Jacob J; Piñera P; Mojarro EM; Lucas-Imbernón FJ; Llauger L; Agüera C; López-Díez MP; Valero A; Bueno H; Pocock SJ;
    Ann Emerg Med; 2019 Aug; 74(2):204-215. PubMed ID: 31147102
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving the EHMRG Prognostic Evaluation of Acute Heart Failure with TAPSE/PASp: A Sequential Approach.
    Falsetti L; Zaccone V; Viticchi G; Fioranelli A; Diblasi I; Guerrieri E; Ferrini C; Scarponi M; Giuliani L; Scalpelli C; Martino M; Pansoni A; Luccarini M; Burattini M; Moroncini G; Tarquinio N
    Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204569
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Retrospective validation of acute heart failure risk stratification in the emergency department.
    Nelson DM; Madsen BE; Kopecky SL; Jenson CE; Loth AR; Mullan AF; Clements CM; Lin G
    Heart Lung; 2023; 57():31-40. PubMed ID: 36007429
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting Long-Term Mortality in Patients With Acute Heart Failure by Using Machine Learning.
    Park J; Hwang IC; Yoon YE; Park JB; Park JH; Cho GY
    J Card Fail; 2022 Jul; 28(7):1078-1087. PubMed ID: 35301108
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Emergency Heart failure Mortality Risk Grade may help to reduce heart failure admissions.
    van Hattem NE; Beeres SLMA; Mertens BJA; Antoni ML; Atsma DE; Schalij MJ; den Haan MC
    Neth Heart J; 2022 Sep; 30(9):431-435. PubMed ID: 35277803
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.
    Thorsen-Meyer HC; Nielsen AB; Nielsen AP; Kaas-Hansen BS; Toft P; Schierbeck J; Strøm T; Chmura PJ; Heimann M; Dybdahl L; Spangsege L; Hulsen P; Belling K; Brunak S; Perner A
    Lancet Digit Health; 2020 Apr; 2(4):e179-e191. PubMed ID: 33328078
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Randomized Control Trial Using a Validated Prediction Model for Diagnosing Acute Heart Failure in Undifferentiated Dyspneic Emergency Department Patients-Results of the GASP4Ar Study.
    Steinhart BD; Levy P; Vandenberghe H; Moe G; Yan AT; Cohen A; Thorpe KE; McGowan M; Mazer CD
    J Card Fail; 2017 Feb; 23(2):145-152. PubMed ID: 27565045
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Patients with acute heart failure discharged from the emergency department and classified as low risk by the MEESSI score (multiple risk estimate based on the Spanish emergency department scale): prevalence of adverse events and predictability.
    Miró Ò; Gil V; Rosselló X; Martín-Sánchez FJ; Llorens P; Jacob J; Herrero P; Herrera Mateo S; Richard F; Escoda R; Fuentes M; Martín Mojarro E; Llauger L; Bueno H; Pocock S
    Emergencias; 2019 Feb; 31(1):5-14. PubMed ID: 30656867
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Acuity patterns of heart failure among emergency departments in a large health system.
    Garg N; Yang J; Pekmezaris R; Stevens G; Becerra AZ; Levy P; Kumar P; Nagarajan MS; Becker L
    Am J Emerg Med; 2021 May; 43():21-26. PubMed ID: 33485123
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach.
    Desautels T; Calvert J; Hoffman J; Jay M; Kerem Y; Shieh L; Shimabukuro D; Chettipally U; Feldman MD; Barton C; Wales DJ; Das R
    JMIR Med Inform; 2016 Sep; 4(3):e28. PubMed ID: 27694098
    [TBL] [Abstract][Full Text] [Related]  

  • 18. What drives performance in machine learning models for predicting heart failure outcome?
    Gutman R; Aronson D; Caspi O; Shalit U
    Eur Heart J Digit Health; 2023 May; 4(3):175-187. PubMed ID: 37265860
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Short-term mortality risk in emergency department acute heart failure.
    Peacock WF; Nowak R; Christenson R; DiSomma S; Neath SX; Hartmann O; Mueller C; Ponikowski P; Möckel M; Hogan C; Wu AH; Richards M; Filippatos GS; Anand I; Ng LL; Daniels LB; Morgenthaler N; Anker SD; Maisel AS
    Acad Emerg Med; 2011 Sep; 18(9):947-58. PubMed ID: 21906204
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.
    Mao Q; Jay M; Hoffman JL; Calvert J; Barton C; Shimabukuro D; Shieh L; Chettipally U; Fletcher G; Kerem Y; Zhou Y; Das R
    BMJ Open; 2018 Jan; 8(1):e017833. PubMed ID: 29374661
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.