[HTML][HTML] Comparison of BERT implementations for natural language processing of narrative medical documents
Abstract Background and objectives Bidirectional Encoder Representations from
Transformers (BERT) word embedding models have been successfully used for many …
Transformers (BERT) word embedding models have been successfully used for many …
Impact of possible errors in natural language processing-derived data on downstream epidemiologic analysis
Objective To assess the impact of potential errors in natural language processing (NLP) on
the results of epidemiologic studies. Materials and Methods We utilized data from three …
the results of epidemiologic studies. Materials and Methods We utilized data from three …
EXIST: EXamining rIsk of excesS adiposiTy—Machine learning to predict obesity‐related complications
A Turchin, FJ Morrison, M Shubina… - Obesity Science & …, 2024 - Wiley Online Library
Background Obesity is associated with an increased risk of multiple conditions, ranging from
heart disease to cancer. However, there are few predictive models for these outcomes that …
heart disease to cancer. However, there are few predictive models for these outcomes that …
Shaping the Future of Healthcare With BERT in Clinical Text Analytics
AK Chaudhari - Future of AI in Biomedicine and Biotechnology, 2024 - igi-global.com
Over the last two decades, electronic health records (EHRs) have evolved as a crucial
repository for patient health data, encompassing both structured and unstructured …
repository for patient health data, encompassing both structured and unstructured …
[PDF][PDF] Informatics in Medicine Unlocked
ABSTRACT Background and objectives: Bidirectional Encoder Representations from
Transformers (BERT) word embedding models have been successfully used for many …
Transformers (BERT) word embedding models have been successfully used for many …