Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework [0.03%]
生物医学和临床文本的关系抽取：统一的多任务学习框架
Shweta Yadav,Srivatsa Ramesh,Sriparna Saha et al.
Shweta Yadav et al.
Motivation: To minimize the accelerating amount of time invested on the biomedical literature search, numerous approaches for automated knowledge extraction have been proposed. Relation extraction is one such task where s...
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering [0.03%]
基于样本聚类的癌症药物重新定位基因标志物识别
Fei Wang,Yulian Ding,Xiujuan Lei et al.
Fei Wang et al.
Drug repositioning is an important approach for drug discovery. Computational drug repositioning approaches typically use a gene signature to represent a particular disease and connect the gene signature with drug perturbation profiles. Alt...
A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data [0.03%]
生物医学数据的集成理论与数据驱动建模管道线
Vineet K Raghu,Xiaoyu Ge,Arun Balajiee et al.
Vineet K Raghu et al.
Genome sequencing technologies have the potential to transform clinical decision making and biomedical research by enabling high-throughput measurements of the genome at a granular level. However, to truly understand mechanisms of disease a...
Deep Reinforcement Learning-Based Progressive Sequence Saliency Discovery Network for Mitosis Detection In Time-Lapse Phase-Contrast Microscopy Images [0.03%]
用于时差相衬显微镜图像有丝分裂检测的基于深度强化学习的渐进序列显著性发现网络
Yu-Ting Su,Yao Lu,Mei Chen et al.
Yu-Ting Su et al.
Mitosis detection plays an important role in the analysis of cell status and behavior and is therefore widely utilized in many biological research and medical applications. In this article, we propose a deep reinforcement learning-based pro...
Using Symmetry to Enhance the Performance of Agent-Based Epidemic Models [0.03%]
利用对称性提高基于智能体的传染病模型的性能
Gilberto M Nakamura,Alinne C C Souza,Francisco C M Souza et al.
Gilberto M Nakamura et al.
Symmetries express the invariance of a system towards sets of mathematical transformations. In more practical terms, symmetries greatly reduce or simplify the computational efforts required to evaluate relevant properties of a system. In th...
Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network [0.03%]
基于动态经验卷积神经网络的EEG信号情绪识别研究
Shuaiqi Liu,Xu Wang,Ling Zhao et al.
Shuaiqi Liu et al.
Affective computing is one of the key technologies to achieve advanced brain-machine interfacing. It is increasingly concerning research orientation in the field of artificial intelligence. Emotion recognition is closely related to affectiv...
Multi-Modal Classification for Human Breast Cancer Prognosis Prediction: Proposal of Deep-Learning Based Stacked Ensemble Model [0.03%]
用于人类乳腺癌预后预测的多模式分类：基于深度学习的堆叠集成模型的提案
Nikhilanand Arya,Sriparna Saha
Nikhilanand Arya
Breast Cancer is a highly aggressive type of cancer generally formed in the cells of the breast. Despite significant advances in the treatment of primary breast cancer in the last decade, there is a dire need to attempt of an accurate predi...
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking [0.03%]
基于深度矩阵分解的微生物-疾病关联预测方法研究
Yue Liu,Shu-Lin Wang,Jun-Feng Zhang et al.
Yue Liu et al.
Identifying the microbe-disease associations is conducive to understanding the pathogenesis of disease from the perspective of microbe. In this paper, we propose a deep matrix factorization prediction model (DMFMDA) based on deep neural net...
Fusun Er,Dionysis Goularas
Fusun Er
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach for distinguishing "Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD)" patients among a list of MCI patients. In this system w...
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction [0.03%]
基于深度学习的噬菌体-宿主互识识别方法
Menglu Li,Yanan Wang,Fuyi Li et al.
Menglu Li et al.
Multi-drug resistance (MDR) has become one of the greatest threats to human health worldwide, and novel treatment methods of infections caused by MDR bacteria are urgently needed. Phage therapy is a promising alternative to solve this probl...