Zobrazeno 1 - 10
of 7 732
pro vyhledávání: '"Joyce, C."'
Autor:
Fensore, Chase, Carrillo-Larco, Rodrigo M., Patel, Shivani A., Morris, Alanna A., Ho, Joyce C.
Social determinants of health (SDOH) $-$ the myriad of circumstances in which people live, grow, and age $-$ play an important role in health outcomes. However, existing outcome prediction models often only use proxies of SDOH as features. Recent ope
Externí odkaz:
http://arxiv.org/abs/2407.09688
The growing availability of well-organized Electronic Health Records (EHR) data has enabled the development of various machine learning models towards disease risk prediction. However, existing risk prediction methods overlook the heterogeneity of co
Externí odkaz:
http://arxiv.org/abs/2406.10061
Electronic Health Records (EHRs) contain rich patient information and are crucial for clinical research and practice. In recent years, deep learning models have been applied to EHRs, but they often rely on massive features, which may not be readily a
Externí odkaz:
http://arxiv.org/abs/2406.05682
Autor:
Xu, Ran, Shi, Wenqi, Yu, Yue, Zhuang, Yuchen, Zhu, Yanqiao, Wang, May D., Ho, Joyce C., Zhang, Chao, Yang, Carl
Developing effective biomedical retrieval models is important for excelling at knowledge-intensive biomedical tasks but still challenging due to the deficiency of sufficient publicly annotated biomedical data and computational resources. We present B
Externí odkaz:
http://arxiv.org/abs/2404.18443
Electronic health records (EHRs) contain valuable patient data for health-related prediction tasks, such as disease prediction. Traditional approaches rely on supervised learning methods that require large labeled datasets, which can be expensive and
Externí odkaz:
http://arxiv.org/abs/2403.15464
Autor:
Xu, Ran, Shi, Wenqi, Yu, Yue, Zhuang, Yuchen, Jin, Bowen, Wang, May D., Ho, Joyce C., Yang, Carl
Publikováno v:
ACL 2024
We present RAM-EHR, a Retrieval AugMentation pipeline to improve clinical predictions on Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources, converts them into text format, and uses dense retrieval to obtain informati
Externí odkaz:
http://arxiv.org/abs/2403.00815
Electronic Health Records (EHRs) have become increasingly popular to support clinical decision-making and healthcare in recent decades. EHRs usually contain heterogeneous information, such as structural data in tabular form and unstructured data in t
Externí odkaz:
http://arxiv.org/abs/2403.08818
Logic reasoning has been critically needed in problem-solving and decision-making. Although Language Models (LMs) have demonstrated capabilities of handling multiple reasoning tasks (e.g., commonsense reasoning), their ability to reason complex mathe
Externí odkaz:
http://arxiv.org/abs/2402.09609
Interactive search can provide a better experience by incorporating interaction feedback from the users. This can significantly improve search accuracy as it helps avoid irrelevant information and captures the users' search intents. Existing state-of
Externí odkaz:
http://arxiv.org/abs/2310.03043