236 related articles for article (PubMed ID: 34727940)
21. DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer.
Shin J; Piao Y; Bang D; Kim S; Jo K
Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430395
[TBL] [Abstract][Full Text] [Related]
22. Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts.
Karimi M; Wu D; Wang Z; Shen Y
J Chem Inf Model; 2021 Jan; 61(1):46-66. PubMed ID: 33347301
[TBL] [Abstract][Full Text] [Related]
23. MERGE: A Multi-graph Attentive Representation learning framework integrating Group information from similar patients.
An Y; Li R; Chen X
Comput Biol Med; 2022 Dec; 151(Pt A):106245. PubMed ID: 36335809
[TBL] [Abstract][Full Text] [Related]
24. Exploiting complex medical data with interpretable deep learning for adverse drug event prediction.
Rebane J; Samsten I; Papapetrou P
Artif Intell Med; 2020 Sep; 109():101942. PubMed ID: 34756221
[TBL] [Abstract][Full Text] [Related]
25. Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk.
Barbieri S; Kemp J; Perez-Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L
Sci Rep; 2020 Jan; 10(1):1111. PubMed ID: 31980704
[TBL] [Abstract][Full Text] [Related]
26. Structure-aware siamese graph neural networks for encounter-level patient similarity learning.
Gu Y; Yang X; Tian L; Yang H; Lv J; Yang C; Wang J; Xi J; Kong G; Zhang W
J Biomed Inform; 2022 Mar; 127():104027. PubMed ID: 35181493
[TBL] [Abstract][Full Text] [Related]
27. Graph Neural Network Based Multi-Label Hierarchical Classification for Disease Predictions in General Practice.
Chi S; Wang Y; Zhang Y; Zhu W; Li J
Stud Health Technol Inform; 2024 Jan; 310():725-729. PubMed ID: 38269904
[TBL] [Abstract][Full Text] [Related]
28. Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis.
Simon ST; Trinkley KE; Malone DC; Rosenberg MA
J Med Internet Res; 2022 Dec; 24(12):e42163. PubMed ID: 36454608
[TBL] [Abstract][Full Text] [Related]
29. Endpoint prediction of heart failure using electronic health records.
Chu J; Dong W; Huang Z
J Biomed Inform; 2020 Sep; 109():103518. PubMed ID: 32721582
[TBL] [Abstract][Full Text] [Related]
30. A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.
Lyu W; Dong X; Wong R; Zheng S; Abell-Hart K; Wang F; Chen C
AMIA Annu Symp Proc; 2022; 2022():719-728. PubMed ID: 37128451
[TBL] [Abstract][Full Text] [Related]
31. Interpretable Predictions of Clinical Outcomes with An Attention-based Recurrent Neural Network.
Sha Y; Wang MD
ACM BCB; 2017 Aug; 2017():233-240. PubMed ID: 32577628
[TBL] [Abstract][Full Text] [Related]
32. Fusion of sequential visits and medical ontology for mortality prediction.
Niu K; Lu Y; Peng X; Zeng J
J Biomed Inform; 2022 Mar; 127():104012. PubMed ID: 35144001
[TBL] [Abstract][Full Text] [Related]
33. Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embedding.
Wunnava S; Qin X; Kakar T; Sen C; Rundensteiner EA; Kong X
Drug Saf; 2019 Jan; 42(1):113-122. PubMed ID: 30649736
[TBL] [Abstract][Full Text] [Related]
34. Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.
Raket LL; Jaskolowski J; Kinon BJ; Brasen JC; Jönsson L; Wehnert A; Fusar-Poli P
Lancet Digit Health; 2020 May; 2(5):e229-e239. PubMed ID: 33328055
[TBL] [Abstract][Full Text] [Related]
35. Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction.
Wang P; Zheng S; Jiang Y; Li C; Liu J; Wen C; Patronov A; Qian D; Chen H; Yang Y
J Chem Inf Model; 2022 Mar; 62(5):1308-1317. PubMed ID: 35200015
[TBL] [Abstract][Full Text] [Related]
36. Leveraging graph-based hierarchical medical entity embedding for healthcare applications.
Wu T; Wang Y; Wang Y; Zhao E; Yuan Y
Sci Rep; 2021 Mar; 11(1):5858. PubMed ID: 33712670
[TBL] [Abstract][Full Text] [Related]
37. DGCL: Distance-wise and Graph Contrastive Learning for medication recommendation.
Li X; Zhang Y; Li X; Wei H; Lu M
J Biomed Inform; 2023 Mar; 139():104301. PubMed ID: 36746345
[TBL] [Abstract][Full Text] [Related]
38. A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.
Ren Y; Fei H; Liang X; Ji D; Cheng M
BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):51. PubMed ID: 30961614
[TBL] [Abstract][Full Text] [Related]
39. Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Luo X; Gandhi P; Zhang Z; Shao W; Han Z; Chandrasekaran V; Turzhitsky V; Bali V; Roberts AR; Metzger M; Baker J; La Rosa C; Weaver J; Dexter P; Huang K
Comput Methods Programs Biomed; 2021 Oct; 210():106395. PubMed ID: 34525412
[TBL] [Abstract][Full Text] [Related]
40. Combining structured and unstructured data for predictive models: a deep learning approach.
Zhang D; Yin C; Zeng J; Yuan X; Zhang P
BMC Med Inform Decis Mak; 2020 Oct; 20(1):280. PubMed ID: 33121479
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
