Ram-ehr: Retrieval augmentation meets clinical predictions on electronic health records
We present RAM-EHR, a Retrieval AugMentation pipeline to improve clinical predictions on
Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources …
Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources …
Natural language processing in dermatology: A systematic literature review and state of the art
A Paganelli, M Spadafora… - Journal of the …, 2024 - Wiley Online Library
Abstract Background Natural Language Processing (NLP) is a field of both computational
linguistics and artificial intelligence (AI) dedicated to analysis and interpretation of human …
linguistics and artificial intelligence (AI) dedicated to analysis and interpretation of human …
Recent Advances in Predictive Modeling with Electronic Health Records
The development of electronic health records (EHR) systems has enabled the collection of a
vast amount of digitized patient data. However, utilizing EHR data for predictive modeling …
vast amount of digitized patient data. However, utilizing EHR data for predictive modeling …
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
Synthesizing electronic health records (EHR) data has become a preferred strategy to
address data scarcity, improve data quality, and model fairness in healthcare. However …
address data scarcity, improve data quality, and model fairness in healthcare. However …
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Electronic health record (EHR) systems contain a wealth of multimodal clinical data
including structured data like clinical codes and unstructured data such as clinical notes …
including structured data like clinical codes and unstructured data such as clinical notes …
medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs
Electronic Medical Records (EMRs), while integral to modern healthcare, present
challenges for clinical reasoning and diagnosis due to their complexity and information …
challenges for clinical reasoning and diagnosis due to their complexity and information …
[PDF][PDF] An Interface for Clinicians: Finding Crucial Information with Language Models in Electronic Health Records
DJ McInerney - 2024 - repository.library.northeastern.edu
Abstract Machine learning is often employed to solve tasks autonomously, but it is frequently
necessary and more useful to aid domain experts rather than replacing them. Using …
necessary and more useful to aid domain experts rather than replacing them. Using …