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 *

148 related articles for article (PubMed ID: 38690475)

  • 1. Clinical Features Predicting COVID-19 Severity Risk at the Time of Hospitalization.
    Sagar D; Dwivedi T; Gupta A; Aggarwal P; Bhatnagar S; Mohan A; Kaur P; Gupta R
    Cureus; 2024 Mar; 16(3):e57336. PubMed ID: 38690475
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study.
    Baek S; Jeong YJ; Kim YH; Kim JY; Kim JH; Kim EY; Lim JK; Kim J; Kim Z; Kim K; Chung MJ
    J Med Internet Res; 2024 Jan; 26():e52134. PubMed ID: 38206673
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation.
    Bolourani S; Brenner M; Wang P; McGinn T; Hirsch JS; Barnaby D; Zanos TP;
    J Med Internet Res; 2021 Feb; 23(2):e24246. PubMed ID: 33476281
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation.
    Chung H; Ko H; Kang WS; Kim KW; Lee H; Park C; Song HO; Choi TY; Seo JH; Lee J
    J Med Internet Res; 2021 Apr; 23(4):e27060. PubMed ID: 33764883
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence.
    Dimitsaki S; Gavriilidis GI; Dimitriadis VK; Natsiavas P
    Artif Intell Med; 2023 Mar; 137():102490. PubMed ID: 36868685
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Early prediction of level-of-care requirements in patients with COVID-19.
    Hao B; Sotudian S; Wang T; Xu T; Hu Y; Gaitanidis A; Breen K; Velmahos GC; Paschalidis IC
    Elife; 2020 Oct; 9():. PubMed ID: 33044170
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Data-Driven Prediction for COVID-19 Severity in Hospitalized Patients.
    Alrajhi AA; Alswailem OA; Wali G; Alnafee K; AlGhamdi S; Alarifi J; AlMuhaideb S; ElMoaqet H; AbuSalah A
    Int J Environ Res Public Health; 2022 Mar; 19(5):. PubMed ID: 35270653
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study.
    Sang S; Sun R; Coquet J; Carmichael H; Seto T; Hernandez-Boussard T
    J Med Internet Res; 2021 Feb; 23(2):e23026. PubMed ID: 33534724
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.
    Adamidi ES; Mitsis K; Nikita KS
    Comput Struct Biotechnol J; 2021; 19():2833-2850. PubMed ID: 34025952
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
    Zakariaee SS; Naderi N; Ebrahimi M; Kazemi-Arpanahi H
    Sci Rep; 2023 Jul; 13(1):11343. PubMed ID: 37443373
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study.
    Klén R; Purohit D; Gómez-Huelgas R; Casas-Rojo JM; Antón-Santos JM; Núñez-Cortés JM; Lumbreras C; Ramos-Rincón JM; García Barrio N; Pedrera-Jiménez M; Lalueza Blanco A; Martin-Escalante MD; Rivas-Ruiz F; Onieva-García MÁ; Young P; Ramirez JI; Titto Omonte EE; Gross Artega R; Canales Beltrán MT; Valdez PR; Pugliese F; Castagna R; Huespe IA; Boietti B; Pollan JA; Funke N; Leiding B; Gómez-Varela D
    Elife; 2022 May; 11():. PubMed ID: 35579324
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Interpretable generalized neural additive models for mortality prediction of COVID-19 hospitalized patients in Hamadan, Iran.
    Moslehi S; Mahjub H; Farhadian M; Soltanian AR; Mamani M
    BMC Med Res Methodol; 2022 Dec; 22(1):339. PubMed ID: 36585627
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record.
    Hwangbo S; Kim Y; Lee C; Lee S; Oh B; Moon MK; Kim SW; Park T
    Front Public Health; 2022; 10():1007205. PubMed ID: 36518574
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.
    Domínguez-Olmedo JL; Gragera-Martínez Á; Mata J; Pachón Álvarez V
    J Med Internet Res; 2021 Apr; 23(4):e26211. PubMed ID: 33793407
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment.
    Ma FQ; He C; Yang HR; Hu ZW; Mao HR; Fan CY; Qi Y; Zhang JX; Xu B
    BMC Med Inform Decis Mak; 2023 Aug; 23(1):169. PubMed ID: 37644543
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study.
    Kim YK; Koo JH; Lee SJ; Song HS; Lee M
    J Med Internet Res; 2023 Dec; 25():e48244. PubMed ID: 38133922
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
    Vaid A; Somani S; Russak AJ; De Freitas JK; Chaudhry FF; Paranjpe I; Johnson KW; Lee SJ; Miotto R; Richter F; Zhao S; Beckmann ND; Naik N; Kia A; Timsina P; Lala A; Paranjpe M; Golden E; Danieletto M; Singh M; Meyer D; O'Reilly PF; Huckins L; Kovatch P; Finkelstein J; Freeman RM; Argulian E; Kasarskis A; Percha B; Aberg JA; Bagiella E; Horowitz CR; Murphy B; Nestler EJ; Schadt EE; Cho JH; Cordon-Cardo C; Fuster V; Charney DS; Reich DL; Bottinger EP; Levin MA; Narula J; Fayad ZA; Just AC; Charney AW; Nadkarni GN; Glicksberg BS
    J Med Internet Res; 2020 Nov; 22(11):e24018. PubMed ID: 33027032
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity.
    Sayed SA; Elkorany AM; Sayed Mohammad S
    IEEE Access; 2021; 9():135697-135707. PubMed ID: 34786321
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting omicron pneumonia severity and outcome: a single-center study in Hangzhou, China.
    Xu J; Cao Z; Miao C; Zhang M; Xu X
    Front Med (Lausanne); 2023; 10():1192376. PubMed ID: 37305146
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.