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.
3. Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network. Naseem M; Arshad H; Hashmi SA; Irfan F; Ahmed FS Int J Med Inform; 2021 Oct; 154():104556. PubMed ID: 34455118 [TBL] [Abstract][Full Text] [Related]
4. Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study. Lian J; Long Y; Huang F; Ng KS; Lee FMY; Lam DCL; Fang BXL; Dou Q; Vardhanabhuti V Front Oncol; 2022; 12():868186. PubMed ID: 35936706 [TBL] [Abstract][Full Text] [Related]
5. NSCGCN: A novel deep GCN model to diagnosis COVID-19. Tang C; Hu C; Sun J; Wang SH; Zhang YD Comput Biol Med; 2022 Nov; 150():106151. PubMed ID: 36244303 [TBL] [Abstract][Full Text] [Related]
6. MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis. Wen G; Cao P; Bao H; Yang W; Zheng T; Zaiane O Comput Biol Med; 2022 Mar; 142():105239. PubMed ID: 35066446 [TBL] [Abstract][Full Text] [Related]
7. Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study. Plante TB; Blau AM; Berg AN; Weinberg AS; Jun IC; Tapson VF; Kanigan TS; Adib AB J Med Internet Res; 2020 Dec; 22(12):e24048. PubMed ID: 33226957 [TBL] [Abstract][Full Text] [Related]
8. Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks. Khemani B; Patil S; Kotecha K; Vora D MethodsX; 2024 Jun; 12():102737. PubMed ID: 38774687 [TBL] [Abstract][Full Text] [Related]
9. Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network. Khatun Z; Jónsson H; Tsirilaki M; Maffulli N; Oliva F; Daval P; Tortorella F; Gargiulo P Comput Methods Programs Biomed; 2024 Nov; 256():108398. PubMed ID: 39236562 [TBL] [Abstract][Full Text] [Related]
10. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder. Pan J; Lin H; Dong Y; Wang Y; Ji Y Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410 [TBL] [Abstract][Full Text] [Related]
11. Ensemble Machine Learning Approaches Based on Molecular Descriptors and Graph Convolutional Networks for Predicting the Efflux Activities of MDR1 and BCRP Transporters. Adachi A; Yamashita T; Kanaya S; Kosugi Y AAPS J; 2023 Sep; 25(5):88. PubMed ID: 37700207 [TBL] [Abstract][Full Text] [Related]
12. A graph convolutional network for predicting COVID-19 dynamics in 190 regions/countries. Anno S; Hirakawa T; Sugita S; Yasumoto S Front Public Health; 2022; 10():911336. PubMed ID: 35991015 [TBL] [Abstract][Full Text] [Related]
13. Graph Convolutional Capsule Regression (GCCR): A Model for Accelerated Filtering of Novel Potential Candidates for SARS-CoV-2 based on Binding Affinity. Krishnan A; Vinod D Curr Comput Aided Drug Des; 2024; 20(1):33-41. PubMed ID: 37005531 [TBL] [Abstract][Full Text] [Related]
14. A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit. Ahmed FS; Ali L; Joseph BA; Ikram A; Ul Mustafa R; Bukhari SAC J Trauma Acute Care Surg; 2020 Oct; 89(4):736-742. PubMed ID: 32773672 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data. Ghorbani M; Kazi A; Soleymani Baghshah M; Rabiee HR; Navab N Med Image Anal; 2022 Jan; 75():102272. PubMed ID: 34731774 [TBL] [Abstract][Full Text] [Related]
17. Early prediction of dementia using fMRI data with a graph convolutional network approach. Han S; Sun Z; Zhao K; Duan F; Caiafa CF; Zhang Y; Solé-Casals J J Neural Eng; 2024 Jan; 21(1):. PubMed ID: 38215493 [No Abstract] [Full Text] [Related]
18. Recognition of Forward Head Posture Through 3D Human Pose Estimation With a Graph Convolutional Network: Development and Feasibility Study. Lee H; Oh B; Kim SC JMIR Form Res; 2024 Aug; 8():e55476. PubMed ID: 39186772 [TBL] [Abstract][Full Text] [Related]
19. Prediction method of pharmacokinetic parameters of small molecule drugs based on GCN network model. Yang Z; Wang Y; Du G; Zhan Y; Zhan W J Mol Model; 2024 Jul; 30(8):264. PubMed ID: 38995407 [TBL] [Abstract][Full Text] [Related]
20. Effectiveness and cost-effectiveness of four different strategies for SARS-CoV-2 surveillance in the general population (CoV-Surv Study): a structured summary of a study protocol for a cluster-randomised, two-factorial controlled trial. Deckert A; Anders S; de Allegri M; Nguyen HT; Souares A; McMahon S; Boerner K; Meurer M; Herbst K; Sand M; Koeppel L; Siems T; Brugnara L; Brenner S; Burk R; Lou D; Kirrmaier D; Duan Y; Ovchinnikova S; Marx M; Kräusslich HG; Knop M; Bärnighausen T; Denkinger C Trials; 2021 Jan; 22(1):39. PubMed ID: 33419461 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]