332 related articles for article (PubMed ID: 35801239)
1. An Explainable AI Approach for the Rapid Diagnosis of COVID-19 Using Ensemble Learning Algorithms.
Gong H; Wang M; Zhang H; Elahe MF; Jin M
Front Public Health; 2022; 10():874455. PubMed ID: 35801239
[TBL] [Abstract][Full Text] [Related]
2. Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan.
Lin MY; Li CC; Lin PH; Wang JL; Chan MC; Wu CL; Chao WC
Front Med (Lausanne); 2021; 8():663739. PubMed ID: 33968967
[No Abstract] [Full Text] [Related]
3. 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]
4. Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.
Yagin FH; Cicek İB; Alkhateeb A; Yagin B; Colak C; Azzeh M; Akbulut S
Comput Biol Med; 2023 Mar; 154():106619. PubMed ID: 36738712
[TBL] [Abstract][Full Text] [Related]
5. Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.
Pan P; Li Y; Xiao Y; Han B; Su L; Su M; Li Y; Zhang S; Jiang D; Chen X; Zhou F; Ma L; Bao P; Xie L
J Med Internet Res; 2020 Nov; 22(11):e23128. PubMed ID: 33035175
[TBL] [Abstract][Full Text] [Related]
6. Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec.
Rahimi S; Chu C; Grad R; Karanofsky M; Arsenault M; Ronquillo C; Vedel I; McGilton K; Wilchesky M
Ann Fam Med; 2023 Jan; 21(21 Suppl 1):. PubMed ID: 36972530
[TBL] [Abstract][Full Text] [Related]
7. Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data.
Nambiar A; S H; S S
Front Artif Intell; 2023; 6():1272506. PubMed ID: 38111787
[TBL] [Abstract][Full Text] [Related]
8. An Explainable Artificial Intelligence Framework for the Deterioration Risk Prediction of Hepatitis Patients.
Peng J; Zou K; Zhou M; Teng Y; Zhu X; Zhang F; Xu J
J Med Syst; 2021 Apr; 45(5):61. PubMed ID: 33847850
[TBL] [Abstract][Full Text] [Related]
9. Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central Taiwan.
Pai KC; Su SA; Chan MC; Wu CL; Chao WC
BMC Anesthesiol; 2022 Nov; 22(1):351. PubMed ID: 36376785
[TBL] [Abstract][Full Text] [Related]
10. Investigation on explainable machine learning models to predict chronic kidney diseases.
Ghosh SK; Khandoker AH
Sci Rep; 2024 Feb; 14(1):3687. PubMed ID: 38355876
[TBL] [Abstract][Full Text] [Related]
11. A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost).
Khan IU; Aslam N; AlShedayed R; AlFrayan D; AlEssa R; AlShuail NA; Al Safwan A
Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501938
[TBL] [Abstract][Full Text] [Related]
12. Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan.
Chan MC; Pai KC; Su SA; Wang MS; Wu CL; Chao WC
BMC Med Inform Decis Mak; 2022 Mar; 22(1):75. PubMed ID: 35337303
[TBL] [Abstract][Full Text] [Related]
13. An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples.
Abayomi-Alli OO; Damaševičius R; Maskeliūnas R; Misra S
Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336395
[TBL] [Abstract][Full Text] [Related]
14. CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.
Kırboğa KK; Küçüksille EU; Naldan ME; Işık M; Gülcü O; Aksakal E
Comput Methods Programs Biomed; 2023 May; 233():107492. PubMed ID: 36965300
[TBL] [Abstract][Full Text] [Related]
15. Explainable AI: Machine Learning Interpretation in Blackcurrant Powders.
Przybył K
Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38794052
[TBL] [Abstract][Full Text] [Related]
16. The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review.
Ali S; Akhlaq F; Imran AS; Kastrati Z; Daudpota SM; Moosa M
Comput Biol Med; 2023 Nov; 166():107555. PubMed ID: 37806061
[TBL] [Abstract][Full Text] [Related]
17. Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality.
Shi L; Rahman R; Melamed E; Gwizdka J; Rousseau JF; Ding Y
AMIA Jt Summits Transl Sci Proc; 2023; 2023():477-486. PubMed ID: 37350891
[TBL] [Abstract][Full Text] [Related]
18. Cancer Metastasis Prediction and Genomic Biomarker Identification through Machine Learning and eXplainable Artificial Intelligence in Breast Cancer Research.
Yagin B; Yagin FH; Colak C; Inceoglu F; Kadry S; Kim J
Diagnostics (Basel); 2023 Oct; 13(21):. PubMed ID: 37958210
[TBL] [Abstract][Full Text] [Related]
19. An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR).
Kassem K; Sperti M; Cavallo A; Vergani AM; Fassino D; Moz M; Liscio A; Banali R; Dahlweid M; Benetti L; Bruno F; Gallone G; De Filippo O; Iannaccone M; D'Ascenzo F; De Ferrari GM; Morbiducci U; Della Valle E; Deriu MA
Artif Intell Med; 2024 May; 151():102841. PubMed ID: 38658130
[TBL] [Abstract][Full Text] [Related]
20. Ultrafast pulse wave velocity and ensemble learning to predict atherosclerosis risk.
Bai X; Liu W; Huang H; You H
Int J Cardiovasc Imaging; 2022 Sep; 38(9):1885-1893. PubMed ID: 35220527
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]