Our system utilizes automated medical procedures, including medical triage, consultation, image-text drug recommendation, and record. Each module has been open-sourced as a tool, which can be used alone or in combination, with robust scalability. Besides, to conduct knowledge-grounded dialogues with...
"Multi-source Information Fusion for Personalized Restaurant Recommendation." Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2015.[pdf] [*] Hu, Tianming, et al. "High-dimensional clustering: a clique-based hypergraph partitioning ...
A epilepsy drug recommendation system by implicit feedback and crossing recommendation. In: 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/...
[WWW 2023] MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning PDF CODE [2023] Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation PDF [arxiv 2023] Computational Approaches for Predicting Drug-Disease Associations: A Comprehensive Review...
Application fields of transformers in biomedicine. Transformer image byhttps://github.com/dvgodoy/dl-visuals/ CC BY 4.0 Full size image Table1provides a glossary of concepts of AI that are discussed in this work. The mathematical details on transformers will not be elaborated in this work, howe...
: https://github.com/HuJieNJ/CDMO : http://www.openkg.cn/dataset/cdmo Evaluation results We validated the intrinsic correctness of the ontology using Robot tools and invited three physicians specializing in diabetes to review the ontology's content, including terms, definitions, and relationships...
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Second, after demonstrating DeepSurv’s modeling and recommendation capabilities, we apply the recommender system to a real dataset used to study the effects of hormone treatment on breast cancer patients. We show that DeepSurv can successfully provide personalized treatment recommendations. We conclude ...
so that he or she can spend more time in taking care of his or her patients.This method can be generalized to any hospital, using its native medical data, to achieve a specialized model available for medical record generation tasks.The code is available at https://github.com/LotusPhilip/da...
For each cohort we modeled disease progression, intervention recommendation and future risk prediction. These diseases differ in causes and progression. Further details of DeepCare implementation are given in Supplementary A.4. Code for the experiments can be found in GitHub.4 4.1. Data Data for ...