[HTML][HTML] Clinical text data in machine learning: systematic review
Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …
care, providing a personalized account of patient history and assessments, and offering rich …
[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals
To accelerate biomedical research process, deep-learning systems are developed to
automatically acquire knowledge about molecule entities by reading large-scale biomedical …
automatically acquire knowledge about molecule entities by reading large-scale biomedical …
Integrating graph contextualized knowledge into pre-trained language models
Complex node interactions are common in knowledge graphs, and these interactions also
contain rich knowledge information. However, traditional methods usually treat a triple as a …
contain rich knowledge information. However, traditional methods usually treat a triple as a …
Convolutional neural network: Deep learning-based classification of building quality problems
B Zhong, X **ng, P Love, X Wang, H Luo - Advanced Engineering …, 2019 - Elsevier
The rapid development of the construction industry in China has introduced unprecedented
quality-related problems in the country's building industry. In response to this issue, the …
quality-related problems in the country's building industry. In response to this issue, the …
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types
In the last decade, the widespread adoption of electronic health record documentation has
created huge opportunities for information mining. Natural language processing (NLP) …
created huge opportunities for information mining. Natural language processing (NLP) …
[HTML][HTML] SECNLP: A survey of embeddings in clinical natural language processing
Distributed vector representations or embeddings map variable length text to dense fixed
length vectors as well as capture prior knowledge which can transferred to downstream …
length vectors as well as capture prior knowledge which can transferred to downstream …
Sentence-level aspect-based sentiment analysis for classifying adverse drug reactions (ADRs) using hybrid ontology-XLNet transfer learning
This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for
sentence-level aspects. The main objective of the proposed approach allows discovering …
sentence-level aspects. The main objective of the proposed approach allows discovering …
Convolution neural network for text mining and natural language processing
NI Widiastuti - IOP Conference Series: Materials Science and …, 2019 - iopscience.iop.org
The objective of this study is to get an overview of the improvements applied in a number of
studies and problems that have not been resolved. We have surveyed more than 30 …
studies and problems that have not been resolved. We have surveyed more than 30 …
RETRACTED: Hybrid blockchain–based privacy-preserving electronic medical records sharing scheme across medical information control system
Y Cao, Y Sun, J Min - Measurement and Control, 2020 - journals.sagepub.com
With the development of big data and medical information control system, electronic medical
records sharing across organizations for better medical treatment and advancement has …
records sharing across organizations for better medical treatment and advancement has …