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 *

127 related articles for article (PubMed ID: 36765157)

  • 21. Screening of COVID-19 based on the extracted radiomics features from chest CT images.
    Rezaeijo SM; Abedi-Firouzjah R; Ghorvei M; Sarnameh S
    J Xray Sci Technol; 2021; 29(2):229-243. PubMed ID: 33612539
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.
    Rendell K; Koprinska I; Kyme A; Ebker-White AA; Dinh MM
    Emerg Med Australas; 2019 Jun; 31(3):429-435. PubMed ID: 30469164
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.
    Woodman RJ; Bryant K; Sorich MJ; Pilotto A; Mangoni AA
    J Med Internet Res; 2021 Jun; 23(6):e26139. PubMed ID: 34152274
    [TBL] [Abstract][Full Text] [Related]  

  • 24. COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation.
    Sankaranarayanan S; Balan J; Walsh JR; Wu Y; Minnich S; Piazza A; Osborne C; Oliver GR; Lesko J; Bates KL; Khezeli K; Block DR; DiGuardo M; Kreuter J; O'Horo JC; Kalantari J; Klee EW; Salama ME; Kipp B; Morice WG; Jenkinson G
    J Med Internet Res; 2021 Sep; 23(9):e30157. PubMed ID: 34449401
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Early Prediction Model for Critical Illness of Hospitalized COVID-19 Patients Based on Machine Learning Techniques.
    Fu Y; Zhong W; Liu T; Li J; Xiao K; Ma X; Xie L; Jiang J; Zhou H; Liu R; Zhang W
    Front Public Health; 2022; 10():880999. PubMed ID: 35677769
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.
    Heo JH; Kim T; Shin J; Suh GJ; Kim J; Jung YS; Park SM; Kim S;
    J Korean Med Sci; 2021 Jul; 36(28):e187. PubMed ID: 34282605
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A machine learning-based prediction model for in-hospital mortality among critically ill patients with hip fracture: An internal and external validated study.
    Lei M; Han Z; Wang S; Han T; Fang S; Lin F; Huang T
    Injury; 2023 Feb; 54(2):636-644. PubMed ID: 36414503
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.
    Pishgar M; Harford S; Theis J; Galanter W; Rodríguez-Fernández JM; Chaisson LH; Zhang Y; Trotter A; Kochendorfer KM; Boppana A; Darabi H
    BMC Med Inform Decis Mak; 2022 Jul; 22(1):194. PubMed ID: 35879715
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
    Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
    [No Abstract]   [Full Text] [Related]  

  • 30. Identifying factors related to mortality of hospitalized COVID-19 patients using machine learning methods.
    Hamidi F; Hamishehkar H; Azari Markid PP; Sarbakhsh P
    Heliyon; 2024 Aug; 10(15):e35561. PubMed ID: 39170355
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.
    Shakhovska N; Yakovyna V; Chopyak V
    Math Biosci Eng; 2022 Apr; 19(6):6102-6123. PubMed ID: 35603393
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Evaluate prognostic accuracy of SOFA component score for mortality among adults with sepsis by machine learning method.
    Pan X; Xie J; Zhang L; Wang X; Zhang S; Zhuang Y; Lin X; Shi S; Shi S; Lin W
    BMC Infect Dis; 2023 Feb; 23(1):76. PubMed ID: 36747139
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19.
    Xu Y; Trivedi A; Becker N; Blazes M; Ferres JL; Lee A; Conrad Liles W; Bhatraju PK
    Sci Rep; 2022 Oct; 12(1):16913. PubMed ID: 36209335
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases.
    Peng S; Huang J; Liu X; Deng J; Sun C; Tang J; Chen H; Cao W; Wang W; Duan X; Luo X; Peng S
    Front Cardiovasc Med; 2022; 9():994359. PubMed ID: 36312291
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying.
    Banoei MM; Dinparastisaleh R; Zadeh AV; Mirsaeidi M
    Crit Care; 2021 Sep; 25(1):328. PubMed ID: 34496940
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
    Kitcharanant N; Chotiyarnwong P; Tanphiriyakun T; Vanitcharoenkul E; Mahaisavariya C; Boonyaprapa W; Unnanuntana A
    BMC Geriatr; 2022 May; 22(1):451. PubMed ID: 35610589
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Construction and validation of a machine learning-based nomogram: A tool to predict the risk of getting severe coronavirus disease 2019 (COVID-19).
    Yao Z; Zheng X; Zheng Z; Wu K; Zheng J
    Immun Inflamm Dis; 2021 Jun; 9(2):595-607. PubMed ID: 33713584
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prediction of in-hospital mortality with machine learning for COVID-19 patients treated with steroid and remdesivir.
    Kuno T; Sahashi Y; Kawahito S; Takahashi M; Iwagami M; Egorova NN
    J Med Virol; 2022 Mar; 94(3):958-964. PubMed ID: 34647622
    [TBL] [Abstract][Full Text] [Related]  

  • 40. An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study.
    Kim HJ; Han D; Kim JH; Kim D; Ha B; Seog W; Lee YK; Lim D; Hong SO; Park MJ; Heo J
    J Med Internet Res; 2020 Nov; 22(11):e24225. PubMed ID: 33108316
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.