Artificial Intelligence
Biomedical Text Mining
- Automatic Extraction of Medication Mentions from Tweets—Overview of the BioCreative VII Shared Task 3 Competition
- Deep Learning-Based Natural Language Processing for Screening Psychiatric Patients
- Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation
- Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records
- Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings
- Family member information extraction via neural sequence labeling models with different tag schemes
- Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature
- Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine
- MRI - MicroRNA Identification
- SPRENO: a BioC module for identifying organism terms in figure captions
- SPRENO
- Biomarker identification of hepatocellular carcinoma using a methodical literature mining strategy
- SPRENO: A BioC Module for Recognizing and Normalizing Species and Their Model Organisms
- Identifying Mutation-induced Protein-Protein Interactions in Scientific Literature
- A Study on Identification of Organism and micro-RNA Mentions in Figure Captions
- NTTMU-SCHEMA BeCalm API in BioCreative V.5
- An Ensemble Algorithm for Sequential Labelling: A Case Study in Chemical Named Entity Recognition
- Performance and interoperability assessment of Disease Extract Annotation Server
- NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions
- MET network in PubMed: a text-mined network visualization and curation system
- Text Mining for Translational Bioinformatics
- Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization
- LiverCancerMarkerRIF: a liver cancer biomarker interactive curation system combining text mining and expert annotations
- Joint Learning of Entity Linking Constraints Using a Markov-Logic Network
- Collective Instance-Level Gene Normalization on the IGN Corpus
- T-HOD
- T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes
- Integration of gene normalization stages and co-reference resolution using a Markov logic network
- PubMed-EX
- BIOSMILE Web Search
Clinical Data Mining
- Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in Taiwan
- Cancer Registry Coding via Hybrid Neural Symbolic Systems in the Cross-Hospital Setting
- Cohort selection for construction of a clinical natural language processing corpus
- Cohort selection for clinical trials using multiple instance learning
- Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?
- Exploring Associations of Clinical and Social Parameters with Violent Behaviors among Psychiatric Patients
- A Context-Aware Approach for Progression Tracking of Medical Concepts in Electronic Medical Records
- Recognition and Evaluation of Clinical Section Headings in Clinical Documents Using Token-Based Formulation with Conditional Random Fields
- nttmuClinical.NET
- TEMPTING system: a hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries
- Coreference resolution of medical concepts in discharge summaries by exploiting contextual information
Clinical Natural Language Processing
Computer Vision
Conference
Database
Extension
IEEE Access
Internet of Things
Journal
- Automatic Extraction of Medication Mentions from Tweets—Overview of the BioCreative VII Shared Task 3 Competition
- Augmenting DSM-5 diagnostic criteria with self- attention-based BiLSTM models for psychiatric diagnosis
- Cancer Registry Coding via Hybrid Neural Symbolic Systems in the Cross-Hospital Setting
- Cohort selection for construction of a clinical natural language processing corpus
- Deep Learning-Based Natural Language Processing for Screening Psychiatric Patients
- Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation
- Cohort selection for clinical trials using multiple instance learning
- Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records
- Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings
- Family member information extraction via neural sequence labeling models with different tag schemes
- Classifying adverse drug reactions from imbalanced twitter data
- Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature
- Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine
- Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?
- SPRENO: a BioC module for identifying organism terms in figure captions
- Biomarker identification of hepatocellular carcinoma using a methodical literature mining strategy
- Exploring Associations of Clinical and Social Parameters with Violent Behaviors among Psychiatric Patients
- NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions
- MET network in PubMed: a text-mined network visualization and curation system
- Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts
- A Context-Aware Approach for Progression Tracking of Medical Concepts in Electronic Medical Records
- Text Mining for Translational Bioinformatics
- Recognition and Evaluation of Clinical Section Headings in Clinical Documents Using Token-Based Formulation with Conditional Random Fields
- Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization
- LiverCancerMarkerRIF: a liver cancer biomarker interactive curation system combining text mining and expert annotations
- Joint Learning of Entity Linking Constraints Using a Markov-Logic Network
- Collective Instance-Level Gene Normalization on the IGN Corpus
- TEMPTING system: a hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries
- T-HOD: a literature-based candidate gene database for hypertension, obesity and diabetes
- Coreference resolution of medical concepts in discharge summaries by exploiting contextual information
- Integration of gene normalization stages and co-reference resolution using a Markov logic network
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