AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

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Co-occurrence graphs for word sense disambiguation in the biomedical domain.

Artificial intelligence in medicine
Word sense disambiguation is a key step for many natural language processing tasks (e.g. summarization, text classification, relation extraction) and presents a challenge to any system that aims to process documents from the biomedical domain. In thi...

Using machine learning algorithms to identify genes essential for cell survival.

BMC bioinformatics
BACKGROUND: With the explosion of data comes a proportional opportunity to identify novel knowledge with the potential for application in targeted therapies. In spite of this huge amounts of data, the solutions to treating complex disease is elusive....

Automatic identification of high impact articles in PubMed to support clinical decision making.

Journal of biomedical informatics
OBJECTIVES: The practice of evidence-based medicine involves integrating the latest best available evidence into patient care decisions. Yet, critical barriers exist for clinicians' retrieval of evidence that is relevant for a particular patient from...

Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec.

BMC medical informatics and decision making
BACKGROUND: Understanding semantic relatedness and similarity between biomedical terms has a great impact on a variety of applications such as biomedical information retrieval, information extraction, and recommender systems. The objective of this st...

MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank.

Journal of biomedical semantics
BACKGROUND: MeSH indexing is the task of assigning relevant MeSH terms based on a manual reading of scholarly publications by human indexers. The task is highly important for improving literature retrieval and many other scientific investigations in ...

ZK DrugResist 2.0: A TextMiner to extract semantic relations of drug resistance from PubMed.

Journal of biomedical informatics
Extracting useful knowledge from an unstructured textual data is a challenging task for biologists, since biomedical literature is growing exponentially on a daily basis. Building an automated method for such tasks is gaining much attention of resear...

A passage retrieval method based on probabilistic information retrieval model and UMLS concepts in biomedical question answering.

Journal of biomedical informatics
BACKGROUND AND OBJECTIVE: Passage retrieval, the identification of top-ranked passages that may contain the answer for a given biomedical question, is a crucial component for any biomedical question answering (QA) system. Passage retrieval in open-do...

Biomedical event trigger detection by dependency-based word embedding.

BMC medical genomics
BACKGROUND: In biomedical research, events revealing complex relations between entities play an important role. Biomedical event trigger identification has become a research hotspot since its important role in biomedical event extraction. Traditional...

CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data.

BMC medical informatics and decision making
BACKGROUND: The study on disease-disease association has been increasingly viewed and analyzed as a network, in which the connections between diseases are configured using the source information on interactome maps of biomolecules such as genes, prot...