Semantic annotation in biomedicine: the current landscape

J Jovanović, E Bagheri - Journal of biomedical semantics, 2017 - Springer
The abundance and unstructured nature of biomedical texts, be it clinical or research
content, impose significant challenges for the effective and efficient use of information and …

[HTML][HTML] Patient empowerment for cancer patients through a novel ICT infrastructure

H Kondylakis, A Bucur, C Crico, F Dong, N Graf… - Journal of biomedical …, 2020 - Elsevier
As a result of recent advances in cancer research and “precision medicine” approaches, ie
the idea of treating each patient with the right drug at the right time, more and more cancer …

Semantically enhanced medical information retrieval system: a tensor factorization based approach

H Wang, Q Zhang, J Yuan - Ieee Access, 2017 - ieeexplore.ieee.org
Medical information retrieval plays an increasingly important role to help physicians and
domain experts to better access medical-related knowledge and information, and support …

[PDF][PDF] Automated Construction of Knowledge-Bases for Safety Critical Applications: Challenges and Opportunities.

A Bhatia, A Pinto - AAAI Spring Symposium: Combining …, 2021 - proceedings.aaai-make.info
Creation of machine-usable, high-quality knowledge-bases is a critical prerequisite for many
important applications that rely on availability of high-level of autonomous decision-making …

Lipid related genes altered in NASH connect inflammation in liver pathogenesis progression to HCC: a canonical pathway

C Desterke, F Chiappini - International journal of molecular sciences, 2019 - mdpi.com
Nonalcoholic steatohepatitis (NASH) is becoming a public health problem worldwide. While
the number of research studies on NASH progression rises every year, sometime their …

Model annotation and discovery with the Physiome Model Repository

DM Sarwar, R Kalbasi, JH Gennari, BE Carlson… - BMC …, 2019 - Springer
Abstract Background Mathematics and Phy sics-based simulation models have the potential
to help interpret and encapsulate biological phenomena in a computable and reproducible …

[HTML][HTML] Personal Health Information Recommender: implementing a tool for the empowerment of cancer patients

G Iatraki, H Kondylakis, L Koumakis… - …, 2018 - ncbi.nlm.nih.gov
Nowadays, patients have a wealth of information available on the Internet. Despite the
potential benefits of Internet health information seeking, several concerns have been raised …

Quantifying risk associated with clinical trial termination: A text mining approach

L Follett, S Geletta, M Laugerman - Information Processing & Management, 2019 - Elsevier
Clinical trials that terminate prematurely without reaching conclusions raise financial, ethical,
and scientific concerns. Scientific studies in all disciplines are initiated with extensive …

ArRaNER: A novel named entity recognition model for biomedical literature documents

R Ramachandran, K Arutchelvan - The Journal of Supercomputing, 2022 - Springer
Developments in advanced innovations have prompted the generation of an immense
amount of digital information. The data deluge contains hidden information that is difficult to …

[PDF][PDF] LasigeBioTM at CANTEMIST: Named Entity Recognition and Normalization of Tumour Morphology Entities and Clinical Coding of Spanish Health-related …

P Ruas, A Neves, VDT Andrade… - IberLEF …, 2020 - webpages.ciencias.ulisboa.pt
CANTEMIST included three subtasks for the automatic assignment of codes related with
tumour morphology entities to Spanish health-related documents: CANTEMIST-NER …