GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification

The Anatomy of SARS-CoV-2 BioMedical Literature: Introducing the CovidX Network Algorithm for Drug Repurposing Recommendation (Preprint)

(2020) Lyndsey Elaine Gates et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A Comparison of Deep Learning Methods for ICD Coding of Clinical Records

(2020) Elias Moons et al.   Applied Sciences-Basel

Automatic Medical Code Assignment via Deep Learning Approach for Intelligent Healthcare

(2020) Fei Teng et al.   IEEE Journal of Biomedical and Health Informatics

A clinical text classification paradigm using weak supervision and deep representation

(2019) Yanshan Wang et al.   BMC Medical Informatics and Decision Making

FactorNet: a deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data

(2019) Daniel Quang et al.   METHODS

BioWordVec, improving biomedical word embeddings with subword information and MeSH

(2019) Yijia Zhang et al.   Scientific Data

An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes

(2019) Jinmiao Huang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Big data analytics for personalized medicine

(2019) Davide Cirillo et al.   CURRENT OPINION IN BIOTECHNOLOGY

Combine clustering and frequent itemsets mining to enhance biomedical text summarization

(2019) Oussama Rouane et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

(2018) Xiaoyong Pan et al.   BMC GENOMICS

Automated ICD-9 Coding via A Deep Learning Approach

(2018) Min Li et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models

(2018) Jingcheng Du et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Automatic ICD-9 coding via deep transfer learning

(2018) Min Zeng et al.   NEUROCOMPUTING

Deep Learning and Its Applications in Biomedicine

(2018) Chensi Cao et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

Extracting psychiatric stressors for suicide from social media using deep learning

(2018) Jingcheng Du et al.   BMC Medical Informatics and Decision Making

OUP accepted manuscript

(2018)   Database-The Journal of Biological Databases and Curation

Deep Learning-Based Document Modeling for Personality Detection from Text

(2017) Navonil Majumder et al.   IEEE INTELLIGENT SYSTEMS

Recurrent neural networks for classifying relations in clinical notes

(2017) Yuan Luo   JOURNAL OF BIOMEDICAL INFORMATICS

Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome

(2017) Jiang Bian et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Text mining for improved exposure assessment

(2017) Kristin Larsson et al.   PLoS One

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

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

(2017) Yuqing Mao et al.   Journal of Biomedical Semantics

Deep learning for natural language processing: advantages and challenges

(2017) Hang Li   National Science Review

DeepMeSH: deep semantic representation for improving large-scale MeSH indexing

(2016) Shengwen Peng et al.   BIOINFORMATICS

Gene expression inference with deep learning

(2016) Yifei Chen et al.   BIOINFORMATICS

Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams

(2016) Khader Shameer et al.   BRIEFINGS IN BIOINFORMATICS

RFBoost: An improved multi-label boosting algorithm and its application to text categorisation

(2016) Bassam Al-Salemi et al.   KNOWLEDGE-BASED SYSTEMS

Learning word dependencies in text by means of a deep recurrent belief network

(2016) Iti Chaturvedi et al.   KNOWLEDGE-BASED SYSTEMS

Aspect extraction for opinion mining with a deep convolutional neural network

(2016) Soujanya Poria et al.   KNOWLEDGE-BASED SYSTEMS

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

(2016) Daniel Quang et al.   NUCLEIC ACIDS RESEARCH

MLTSVM: A novel twin support vector machine to multi-label learning

(2016) Wei-Jie Chen et al.   PATTERN RECOGNITION

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Automatic semantic classification of scientific literature according to the hallmarks of cancer

(2015) Simon Baker et al.   BIOINFORMATICS

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction

(2015) Matt Spencer et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields

(2015) Sheng Wang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Portable automatic text classification for adverse drug reaction detection via multi-corpus training

(2015) Abeed Sarker et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

A deep learning framework for modeling structural features of RNA-binding protein targets

(2015) Sai Zhang et al.   NUCLEIC ACIDS RESEARCH

Deep learning of the tissue-regulated splicing code

(2014) Michael K. K. Leung et al.   BIOINFORMATICS

DANN: a deep learning approach for annotating the pathogenicity of genetic variants

(2014) Daniel Quang et al.   BIOINFORMATICS

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network

(2014) James Lyons et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

DNdisorder: predicting protein disorder using boosting and deep networks

(2013) Jesse Eickholt et al.   BMC BIOINFORMATICS

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Diagnosis code assignment: models and evaluation metrics

(2013) Adler Perotte et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Deep architectures for protein contact map prediction

(2012) Pietro Di Lena et al.   BIOINFORMATICS

Recommending MeSH terms for annotating biomedical articles

(2011) Minlie Huang et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

On ontology-driven document clustering using core semantic features

(2011) Samah Fodeh et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Classifier chains for multi-label classification

(2011) Jesse Read et al.   MACHINE LEARNING

Semantically enhanced Information Retrieval: An ontology-based approach

(2010) Miriam Fernández et al.   Journal of Web Semantics

Combining instance-based learning and logistic regression for multilabel classification

(2009) Weiwei Cheng et al.   MACHINE LEARNING

Label ranking by learning pairwise preferences

(2008) Eyke Hüllermeier et al.   ARTIFICIAL INTELLIGENCE

Multilabel classification via calibrated label ranking

(2008) Johannes Fürnkranz et al.   MACHINE LEARNING