246 related articles for article (PubMed ID: 35814445)
21. Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms?
Mu N; Rezaeitaleshmahalleh M; Lyu Z; Wang M; Tang J; Strother CM; Gemmete JJ; Pandey AS; Jiang J
Biomed Phys Eng Express; 2023 Mar; 9(3):. PubMed ID: 36626819
[TBL] [Abstract][Full Text] [Related]
22. An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation.
Zhang Y; Yang D; Liu Z; Chen C; Ge M; Li X; Luo T; Wu Z; Shi C; Wang B; Huang X; Zhang X; Zhou S; Hei Z
J Transl Med; 2021 Jul; 19(1):321. PubMed ID: 34321016
[TBL] [Abstract][Full Text] [Related]
23. A Promising Preoperative Prediction Model for Microvascular Invasion in Hepatocellular Carcinoma Based on an Extreme Gradient Boosting Algorithm.
Liu W; Zhang L; Xin Z; Zhang H; You L; Bai L; Zhou J; Ying B
Front Oncol; 2022; 12():852736. PubMed ID: 35311094
[TBL] [Abstract][Full Text] [Related]
24. Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.
Meiseles A; Paley D; Ziv M; Hadid Y; Rokach L; Tadmor T
Comput Biol Med; 2022 Jun; 145():105490. PubMed ID: 35405402
[TBL] [Abstract][Full Text] [Related]
25. Explainable machine learning model to predict refeeding hypophosphatemia.
Choi TY; Chang MY; Heo S; Jang JY
Clin Nutr ESPEN; 2021 Oct; 45():213-219. PubMed ID: 34620320
[TBL] [Abstract][Full Text] [Related]
26. Development and Validation of Machine Learning Models to Predict Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer: A Multi-Center Retrospective Radiomics Study.
Liu Y; Zhou J; Wu J; Wang W; Wang X; Guo J; Wang Q; Zhang X; Li D; Xie J; Ding X; Xing Y; Hu D
Cancer Control; 2022; 29():10732748221092926. PubMed ID: 35417660
[TBL] [Abstract][Full Text] [Related]
27. Explainable AI-based Alzheimer's prediction and management using multimodal data.
Jahan S; Abu Taher K; Kaiser MS; Mahmud M; Rahman MS; Hosen ASMS; Ra IH
PLoS One; 2023; 18(11):e0294253. PubMed ID: 37972072
[TBL] [Abstract][Full Text] [Related]
28. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
[TBL] [Abstract][Full Text] [Related]
29. Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan.
Hu CA; Chen CM; Fang YC; Liang SJ; Wang HC; Fang WF; Sheu CC; Perng WC; Yang KY; Kao KC; Wu CL; Tsai CS; Lin MY; Chao WC;
BMJ Open; 2020 Feb; 10(2):e033898. PubMed ID: 32102816
[TBL] [Abstract][Full Text] [Related]
30. Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning.
Liu Z; Meng Z; Wei D; Qin Y; Lv Y; Xie L; Qiu H; Xie B; Li L; Wei X; Zhang D; Liang B; Li W; Qin S; Yan T; Meng Q; Wei H; Jiang G; Su L; Jiang N; Zhang K; Lv J; Hu Y
BMC Med Inform Decis Mak; 2024 Apr; 24(1):110. PubMed ID: 38664736
[TBL] [Abstract][Full Text] [Related]
31. Interpretable machine learning model integrating clinical and elastosonographic features to detect renal fibrosis in Asian patients with chronic kidney disease.
Chen Z; Wang Y; Ying MTC; Su Z
J Nephrol; 2024 Feb; ():. PubMed ID: 38315278
[TBL] [Abstract][Full Text] [Related]
32. Explainable and visualizable machine learning models to predict biochemical recurrence of prostate cancer.
Lu W; Zhao L; Wang S; Zhang H; Jiang K; Ji J; Chen S; Wang C; Wei C; Zhou R; Wang Z; Li X; Wang F; Wei X; Hou W
Clin Transl Oncol; 2024 Apr; ():. PubMed ID: 38602643
[TBL] [Abstract][Full Text] [Related]
33. Explainable Machine Learning Model for Glaucoma Diagnosis and Its Interpretation.
Oh S; Park Y; Cho KJ; Kim SJ
Diagnostics (Basel); 2021 Mar; 11(3):. PubMed ID: 33805685
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset.
Zhang H; Wang Z; Tang Y; Chen X; You D; Wu Y; Yu M; Chen W; Zhao Y; Chen X
J Transl Med; 2022 Apr; 20(1):166. PubMed ID: 35397573
[TBL] [Abstract][Full Text] [Related]
36. Identifying major predictors for parenting stress in a caregiver of autism spectrum disorder using machine learning models.
Choi H; Kim JH; Kim H; Cheon KA
Front Neurosci; 2023; 17():1229155. PubMed ID: 37706158
[TBL] [Abstract][Full Text] [Related]
37. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
38. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
[TBL] [Abstract][Full Text] [Related]
39. A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction.
Zhou W; Yan Z; Zhang L
Sci Rep; 2024 Mar; 14(1):5905. PubMed ID: 38467662
[TBL] [Abstract][Full Text] [Related]
40. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.
Liu Q; Pang B; Li H; Zhang B; Liu Y; Lai L; Le W; Li J; Xia T; Zhang X; Ou C; Ma J; Li S; Guo X; Zhang S; Zhang Q; Jiang M; Zeng Q
J Thorac Dis; 2021 Feb; 13(2):1215-1229. PubMed ID: 33717594
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
