Artificial intelligence on diagnostic aid of leprosy: a systematic literature review
JRN Fernandes, AS Teles, TRS Fernandes… - Journal of Clinical …, 2023 - mdpi.com
Leprosy is a neglected tropical disease that can cause physical injury and mental disability.
Diagnosis is primarily clinical, but can be inconclusive due to the absence of initial …
Diagnosis is primarily clinical, but can be inconclusive due to the absence of initial …
A socio-technical approach to trustworthy semantic biomedical content generation and sharing
The rapid growth of online biomedical content has presented a notable challenge in
delivering timely and precise semantic annotations. Semantic annotations play a crucial role …
delivering timely and precise semantic annotations. Semantic annotations play a crucial role …
Bi-LSTM-CRF network for clinical event extraction with medical knowledge features
S Zhang, Y Li, S Li, F Yan - IEEE Access, 2022 - ieeexplore.ieee.org
Extracting clinical event expressions and their types from clinical text is a fundamental task
for many applications in clinical NLP. State-of-the-art systems need handcraft features and …
for many applications in clinical NLP. State-of-the-art systems need handcraft features and …
Transformer-based active learning for multi-class text annotation and classification
Objective Data-driven methodologies in healthcare necessitate labeled data for effective
decision-making. However, medical data, particularly in unstructured formats, such as …
decision-making. However, medical data, particularly in unstructured formats, such as …
Clinical concept annotation with contextual word embedding in active transfer learning environment
Objective The study aims to present an active learning approach that automatically extracts
clinical concepts from unstructured data and classifies them into explicit categories such as …
clinical concepts from unstructured data and classifies them into explicit categories such as …
[图书][B] Medical Data Analysis and Processing Using Explainable Artificial Intelligence
The text presents concepts of explainable artificial intelligence (XAI) in solving real world
biomedical and healthcare problems. It will serve as an ideal reference text for graduate …
biomedical and healthcare problems. It will serve as an ideal reference text for graduate …
Clinical BioBERT Hyperparameter Optimization using Genetic Algorithm
NM Kollapally, J Geller - arXiv preprint arXiv:2302.03822, 2023 - arxiv.org
Clinical factors account only for a small portion, about 10-30%, of the controllable factors that
affect an individual's health outcomes. The remaining factors include where a person was …
affect an individual's health outcomes. The remaining factors include where a person was …
Proficient Annotation Recommendation in a Biomedical Content Authoring Environment
Given the ubiquity of unstructured biomedical data, significant obstacles still remain in
achieving accurate and fast access to online biomedical content. Accompanying semantic …
achieving accurate and fast access to online biomedical content. Accompanying semantic …
Biomedical scholarly article editing and sharing using holistic semantic uplifting approach
Efficient practices to provide access to biomedical publications facilitate the timely transfer of
information from the scientific research community to peer investigators and other healthcare …
information from the scientific research community to peer investigators and other healthcare …
Personalized Semantic Annotation Recommendations on Biomedical Content Through an Expanded Socio-Technical Approach [Personalized Semantic Annotation …
There are huge on-going challenges to timely access of accurate online biomedical content
due to exponential growth of unstructured biomedical data. Therefore, semantic annotations …
due to exponential growth of unstructured biomedical data. Therefore, semantic annotations …