49 citations · 76 across the 6 of their papers we have counts for
9 papers
MASK: A flexible framework to facilitate de-identification of clinical texts
Nikola Milosevic, Gangamma Kalappa, Hesam Dadafarin +2
Medical health records and clinical summaries contain a vast amount of important information in textual form that can help advancing research on treatments, drugs and public health…
Deep learning guided Android malware and anomaly detection
Nikola Milosevic, Junfan Huang
In the past decade, the cyber-crime related to mobile devices has increased. Mobile devices, especially the ones running on Android operating system are particularly interesting to…
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
Maksim Belousov, Nikola Milosevic, Ghada Alfattni +2
Monitoring the administration of drugs and adverse drug reactions are key parts of pharmacovigilance. In this paper, we explore the extraction of drug mentions and drug-related inf…
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017
Maksim Belousov, Nikola Milosevic, William Dixon +1
Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the administration of a certain drug or a combination of drugs, presenting a challenge for drug deve…
From web crawled text to project descriptions: automatic summarizing of social innovation projects
Nikola Milosevic, Dimitar Marinov, Abdullah Gok +1
In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner. A database of social inn…
A framework for information extraction from tables in biomedical literature
Nikola Milosevic, Cassie Gregson, Robert Hernandez +1
The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications. Text mining provided in the past methods to…