202 related articles for article (PubMed ID: 37932692)
1. An explainable artificial intelligence framework for risk prediction of COPD in smokers.
Wang X; Qiao Y; Cui Y; Ren H; Zhao Y; Linghu L; Ren J; Zhao Z; Chen L; Qiu L
BMC Public Health; 2023 Nov; 23(1):2164. PubMed ID: 37932692
[TBL] [Abstract][Full Text] [Related]
2. Machine learning-enabled risk prediction of chronic obstructive pulmonary disease with unbalanced data.
Wang X; Ren H; Ren J; Song W; Qiao Y; Ren Z; Zhao Y; Linghu L; Cui Y; Zhao Z; Chen L; Qiu L
Comput Methods Programs Biomed; 2023 Mar; 230():107340. PubMed ID: 36640604
[TBL] [Abstract][Full Text] [Related]
3. Explainable Machine Learning Model for Predicting First-Time Acute Exacerbation in Patients with Chronic Obstructive Pulmonary Disease.
Kor CT; Li YR; Lin PR; Lin SH; Wang BY; Lin CH
J Pers Med; 2022 Feb; 12(2):. PubMed ID: 35207716
[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. Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence.
Akbulut S; Yagin FH; Cicek IB; Koc C; Colak C; Yilmaz S
Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980481
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Developing and validating machine learning-based prediction models for frailty occurrence in those with chronic obstructive pulmonary disease.
Chen Y; Yu Y; Yang D; Zhang W; Kouritas V; Chen X
J Thorac Dis; 2024 Apr; 16(4):2482-2498. PubMed ID: 38738219
[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. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
[TBL] [Abstract][Full Text] [Related]
10. Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach.
Matsumura K; Ito S
BMC Pulm Med; 2020 Feb; 20(1):29. PubMed ID: 32013930
[TBL] [Abstract][Full Text] [Related]
11. The analyses of risk factors for COPD in the Li ethnic group in Hainan, People's Republic of China.
Ding Y; Xu J; Yao J; Chen Y; He P; Ouyang Y; Niu H; Tian Z; Sun P
Int J Chron Obstruct Pulmon Dis; 2015; 10():2593-600. PubMed ID: 26664107
[TBL] [Abstract][Full Text] [Related]
12. Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT.
Tang LYW; Coxson HO; Lam S; Leipsic J; Tam RC; Sin DD
Lancet Digit Health; 2020 May; 2(5):e259-e267. PubMed ID: 33328058
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. A machine learning model for predicting acute exacerbation of in-home chronic obstructive pulmonary disease patients.
Yin H; Wang K; Yang R; Tan Y; Li Q; Zhu W; Sung S
Comput Methods Programs Biomed; 2024 Apr; 246():108005. PubMed ID: 38354578
[TBL] [Abstract][Full Text] [Related]
16. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
17. A deep learning-based interpretable decision tool for predicting high risk of chemotherapy-induced nausea and vomiting in cancer patients prescribed highly emetogenic chemotherapy.
Zhang J; Cui X; Yang C; Zhong D; Sun Y; Yue X; Lan G; Zhang L; Lu L; Yuan H
Cancer Med; 2023 Sep; 12(17):18306-18316. PubMed ID: 37609808
[TBL] [Abstract][Full Text] [Related]
18. [Comparison of the predictive performance of Logistic regression, BP neural network and support vector machine model for the risk of acute exacerbation of readmission in elderly patients with chronic obstructive pulmonary disease within 30 days].
Zhang R; Chang Y; Zhang X; Lu L; Ding L; Lu H
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Aug; 34(8):819-824. PubMed ID: 36177924
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.
Gholi Zadeh Kharrat F; Gagne C; Lesage A; Gariépy G; Pelletier JF; Brousseau-Paradis C; Rochette L; Pelletier E; Lévesque P; Mohammed M; Wang J
PLoS One; 2024; 19(4):e0301117. PubMed ID: 38568987
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
