![](images/graphics/blank.gif)
Event extraction
-
Patterns in expression data conserved across multiple independent disease studies are likely to represent important molecular events underlying the disease. We present the INSPIRE method to infer modules of co-expressed genes and the dependencies among the modules from multiple expression datasets that may contain different sets of genes.
31p
vioraclene
31-03-2024
4
2
Download
-
Acute cardiac tamponade is a rare event during any type of interventional or surgical procedure. It can occur during electrophysiology procedures due to radiofrequency ablation, lead or catheter manipulation, transseptal puncture, laser lead extractions, or left atrial appendage occlusion device positioning.
6p
vitiki
30-01-2024
3
2
Download
-
Research on pharmacovigilance from social media data has focused on mining adverse drug events (ADEs) using annotated datasets, with publications generally focusing on 1 of 3 tasks: ADE classification, named entity recognition for identifying the span of ADE mentions, and ADE mention normalization to standardized terminologies.
9p
vighostrider
25-05-2023
3
2
Download
-
This article describes an ensembling system to automatically extract adverse drug events and drug related entities from clinical narratives, which was developed for the 2018 n2c2 Shared Task Track 2. Materials and Methods: We designed a neural model to tackle both nested (entities embedded in other entities) and polysemous entities (entities annotated with multiple semantic types) based on MIMIC III discharge summaries.
9p
vighostrider
25-05-2023
3
2
Download
-
Identification of drugs, associated medication entities, and interactions among them are crucial to prevent unwanted effects of drug therapy, known as adverse drug events. This article describes our participation to the n2c2 shared-task in extracting relations between medication-related entities in electronic health records.
8p
vighostrider
25-05-2023
5
2
Download
-
Mitomycin C has been used adjunctively in various procedures, including pterygium excision. Delayed wound healing, the long-term complication of mitomycin C, can occur several years later and may rarely cause a subsequent inadvertent filtering bleb. However, conjunctival bleb formation from the reopening of an adjacent surgical wound after mitomycin C use has not been reported.
4p
videadpool
05-05-2023
3
2
Download
-
Many functional analysis tools have been developed to extract functional and mechanistic insight from bulk transcriptome data. With the advent of single-cell RNA sequencing (scRNA-seq), it is in principle possible to do such an analysis for single cells. However, scRNA-seq data has characteristics such as drop-out events and low library sizes.
19p
viarchimedes
26-01-2022
15
0
Download
-
This sentence-level identification information is used by a teacher network to guide the baseline model’s training by sharing its classifier. Like an instructor, the classifier improves the baseline model’s ability to extract this sentence-level identification information from raw texts, thus benefiting overall performance.
17p
guernsey
28-12-2021
10
0
Download
-
Automatic extraction of biomedical events from literature, that allows for faster update of the latest discoveries automatically, is a heated research topic now. Trigger word recognition is a critical step in the process of event extraction. Its performance directly influences the results of the event extraction.
18p
vilichoo2711
25-06-2021
12
1
Download
-
The paper presents a new event detection method in a low sampling rate. This proposed method includes three main parts: Generating the steady-state power signal based on the CUSUM (Cumulative SUM) signal extracted from the active power signal; Generating mean and variance signals based on the generated steady-state power signal; Applying Stacked LSTM (Stacked Long Short-Term Memory) model to improve event detection performance on the extracted features.
7p
chauchaungayxua11
23-03-2021
11
1
Download
-
A significant increase of intrusion events over the years imposes a challenge on the robust intrusion detection system. In a computer system, execution traces of its programs can be audited as sequences of system calls and provide a rich and expressive source of data to identify anomalous activities. This paper presents a deep learning model, which combines multi-channel CNN and bidirectional LSTM (BiLSTM) models, to detect abnormal executions in host-based intrusion detection systems.
13p
trinhthamhodang9
10-12-2020
11
2
Download
-
The study has designed a process to record dozing-off event, then constructed and implemented the hypnogram processing program that evaluated quantitative changes in polysomnography signals at sleep onset, the transition time from wake stage to sleep stage. By analyzing the energy spectrum of the signal and using wavelet transform in combine with the support vector machine algorithm, the research allows a comprehensive evaluation of the state of dozing-off. Determining the exact time of onset of sleep is very important in the study of drowsiness.
5p
trinhthamhodang9
04-12-2020
8
2
Download
-
Many biomedical relation extraction systems are machine-learning based and have to be trained on large annotated corpora that are expensive and cumbersome to construct. We developed a knowledge-based relation extraction system that requires minimal training data, and applied the system for the extraction of adverse drug events from biomedical text.
8p
vikentucky2711
26-11-2020
8
1
Download
-
Model checking has been recently introduced as an integrated framework for extracting information of the phylogenetic trees using temporal logics as a querying language, an extension of modal logics that imposes restrictions of a boolean formula along a path of events.
14p
vioklahoma2711
19-11-2020
9
1
Download
-
High-throughput technology allows for genome-wide measurements at different molecular levels for the same patient, e.g. single nucleotide polymorphisms (SNPs) and gene expression. Correspondingly, it might be beneficial to also integrate complementary information from different molecular levels when building multivariable risk prediction models for a clinical endpoint, such as treatment response or survival.
13p
vioklahoma2711
19-11-2020
12
2
Download
-
We participated in the BioNLP 2013 shared tasks on event extraction. Our extraction method is based on the search for an approximate subgraph isomorphism between key context dependencies of events and graphs of input sentences.
15p
vioklahoma2711
19-11-2020
5
1
Download
-
Modern methods for mining biomolecular interactions from literature typically make predictions based solely on the immediate textual context, in effect a single sentence. No prior work has been published on extending this context to the information automatically gathered from the whole biomedical literature.
12p
vioklahoma2711
19-11-2020
6
1
Download
-
For automated reading of scientific publications to extract useful information about molecular mechanisms it is critical that genes, proteins and other entities be correctly associated with uniform identifiers, a process known as named entity linking or “grounding.” Correct grounding is essential for resolving relationships among mined information, curated interaction databases, and biological datasets.
14p
viconnecticut2711
28-10-2020
13
1
Download
-
Given the importance of relation or event extraction from biomedical research publications to support knowledge capture and synthesis, and the strong dependency of approaches to this information extraction task on syntactic information, it is valuable to understand which approaches to syntactic processing of biomedical text have the highest performance.
13p
vicoachella2711
27-10-2020
9
1
Download
-
Event extraction from the biomedical literature is one of the most actively researched areas in biomedical text mining and natural language processing. However, most approaches have focused on events within single sentence boundaries, and have thus paid much less attention to events spanning multiple sentences.
22p
vicolorado2711
22-10-2020
9
0
Download
CHỦ ĐỀ BẠN MUỐN TÌM
![](images/graphics/blank.gif)