[HTML][HTML] The use of artificial intelligence for automating or semi-automating biomedical literature analyses: a scoping review

ÁO Dos Santos, ES da Silva, LM Couto… - Journal of Biomedical …, 2023 - Elsevier
Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

Artificial intelligence and cardiovascular genetics

C Krittanawong, KW Johnson, E Choi, S Kaplin… - Life, 2022 - mdpi.com
Polygenic diseases, which are genetic disorders caused by the combined action of multiple
genes, pose unique and significant challenges for the diagnosis and management of …

中文医学知识图谱研究及应用进展.

范媛媛, 李忠民 - Journal of Frontiers of Computer Science & …, 2022 - search.ebscohost.com
知识图谱是赋予机器背景知识的大规模语义网络. 利用知识图谱对多源异构的医学信息进行有序
化组织, 能有效提升海量医学资源的利用价值, 推动医学智能化发展. 从知识图谱的关键技术 …

Systematic literature review of information extraction from textual data: recent methods, applications, trends, and challenges

MHA Abdullah, N Aziz, SJ Abdulkadir… - IEEE …, 2023 - ieeexplore.ieee.org
Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Review of natural language processing in pharmacology

D Trajanov, V Trajkovski, M Dimitrieva, J Dobreva… - Pharmacological …, 2023 - ASPET
Natural language processing (NLP) is an area of artificial intelligence that applies
information technologies to process the human language, understand it to a certain degree …

[HTML][HTML] Lessons learned to enable question answering on knowledge graphs extracted from scientific publications: A case study on the coronavirus literature

C Badenes-Olmedo, O Corcho - Journal of Biomedical Informatics, 2023 - Elsevier
The article presents a workflow to create a question-answering system whose knowledge
base combines knowledge graphs and scientific publications on coronaviruses. It is based …

Natural language processing based on name entity with n-gram classifier machine learning process through ge-based hidden markov model

SD Pande, RK Kanna, I Qureshi - … Learning Applications in …, 2022 - yashikajournals.com
Abstract Natural Language Processing (NLP) is the computational linguistics mode for the
identification and classification of text documents. The NLP process comprises the retrieval …

Toward an open access genomics database of South Africans: ethical considerations

A Gooden, D Thaldar - Frontiers in Genetics, 2023 - frontiersin.org
Genomics research holds the potential to improve healthcare. Yet, a very low percentage of
the genomic data used in genomics research internationally relates to persons of African …

Developing a model for the automated identification and extraction of agricultural terms from unstructured text

H Panoutsopoulos, C Brewster… - Chemistry Proceedings, 2022 - mdpi.com
Text is the prevalent medium for conveying research findings and developments within and
beyond the domain of agriculture. Mining information from text is important for the (research) …

What went wrong: A survey of wildfire uas mishaps through named entity recognition

SR Andrade, HS Walsh - 2022 IEEE/AIAA 41st Digital Avionics …, 2022 - ieeexplore.ieee.org
Increasingly, unmanned aircraft systems (UAS) are being applied to wildfire incidents for
tasks such as mapping, aerial ignition, and delivery. As a result, aviation incident reporting …