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An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical …
J Li, X Wang, L Cai, J Sun, Z Yang, W Liu… - Cancer …, 2023 - Wiley Online Library
Background The significance of liver metastasis (LM) in increasing the risk of death for
postoperative colorectal cancer (CRC) patients necessitates innovative approaches to …
postoperative colorectal cancer (CRC) patients necessitates innovative approaches to …
Two complementary AI approaches for predicting UMLS semantic group assignment: heuristic reasoning and deep learning
Y Mao, RA Miller, O Bodenreider… - Journal of the …, 2023 - academic.oup.com
Objective Use heuristic, deep learning (DL), and hybrid AI methods to predict semantic
group (SG) assignments for new UMLS Metathesaurus atoms, with target accuracy≥ 95 …
group (SG) assignments for new UMLS Metathesaurus atoms, with target accuracy≥ 95 …
Context-enriched learning models for aligning biomedical vocabularies at scale in the UMLS Metathesaurus
V Nguyen, HY Yip, G Bajaj, T Wijesiriwardene… - Proceedings of the …, 2022 - dl.acm.org
The Unified Medical Language System (UMLS) Metathesaurus construction process mainly
relies on lexical algorithms and manual expert curation for integrating over 200 biomedical …
relies on lexical algorithms and manual expert curation for integrating over 200 biomedical …
Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment
MSM Rudwan, JV Fonou-Dombeu - Future Internet, 2023 - mdpi.com
Ontology alignment has become an important process for identifying similarities and
differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy …
differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy …
KOSonto: An ontology for knowledge organization systems, their constituents, and their referents
JN Nikiema, F Mougin, V Jouhet… - … Conference on Biomedical …, 2023 - hal.science
The structure of knowledge organization systems (KOSs)–domain vocabularies, thesauri,
terminologies, classification systems, and ontologies–follows different architectural …
terminologies, classification systems, and ontologies–follows different architectural …
UVA resources for the biomedical vocabulary alignment at scale in the UMLS metathesaurus
V Nguyen, O Bodenreider - arxiv preprint arxiv:2205.10575, 2022 - arxiv.org
The construction and maintenance process of the UMLS (Unified Medical Language
System) Metathesaurus is time-consuming, costly, and error-prone as it relies on (1) the …
System) Metathesaurus is time-consuming, costly, and error-prone as it relies on (1) the …
A Lifelong Multilingual Multi-granularity Semantic Alignment Approach via Maximum Co-occurrence Probability
Cross-lingual pre-training methods mask and predict tokens in multilingual text to generalize
diverse multilingual information. However, due to the lack of sufficient aligned multilingual …
diverse multilingual information. However, due to the lack of sufficient aligned multilingual …
Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion
BJ Gutierrez, Y Mao, V Nguyen, KW Fung, Y Su… - arxiv preprint arxiv …, 2023 - arxiv.org
As the immense opportunities enabled by large language models become more apparent,
NLP systems will be increasingly expected to excel in real-world settings. However, in many …
NLP systems will be increasingly expected to excel in real-world settings. However, in many …
Siamese Networks in Medical Imaging: A Bibliometrics Analysis
K Obaideen, M AlShabi - Proceedings of the 2023 6th International …, 2023 - dl.acm.org
This study delves into the burgeoning field of Siamese Networks (SNs) within biomedical
(BM) research, presenting a comprehensive analysis of 319 scholarly articles published …
(BM) research, presenting a comprehensive analysis of 319 scholarly articles published …
A Survey on the Intersection of Research in the use of Language Models and Knowledge Graphs
T Elvira, J Ortiz Couder, T Procko… - Available at SSRN …, 2024 - papers.ssrn.com
With the rise of ChatGPT, there is growing interest in researching Language Models (LMs). A
Language Model is a statistical algorithm that models the sequence probability of words …
Language Model is a statistical algorithm that models the sequence probability of words …