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Emerging information technologies for enhanced healthcare
The present situation of the adoption of EMRs, the health sensing, medical data analysis, and health cloud computing are surveyed, and the current state of academic research is documented on emerging information technologies for new paradigms of healthcare service.
Exploiting ensemble learning for automatic cataract detection and grading
The results demonstrate that the ensemble classifier outperforms the single learning model significantly, which also illustrates the effectiveness of the proposed approach.
Automatic cataract detection and grading using Deep Convolutional Neural Network
It is demonstrated in this paper that the DCNN classifier outperforms state-of-the-art in the performance, and has the potential to be applied to other eye diseases in future.
Application of Weighted Gene Co-expression Network Analysis for Data from Paired Design
This work modified the current WGCNA pipeline to analyse high-throughput genomic data from paired design and identified two sets of novel miRNAs associated with OSCC, in addition to the existing mi RNAs reported by Shiah et al. (2014).
Diversity-aware retrieval of medical records
A novel semantic-based approach to achieve the diversity-aware retrieval of EMRs, i.e., both the relevance and novelty are considered for EMR ranking, and a novel diversification strategy, which considers not only the aspect importance but also the aspect similarity, to perform the Diversity-aware EMRranking is proposed.
Multiple facial image features-based recognition for the automatic diagnosis of turner syndrome
A facial image analysis-based computer-aided system for automatic face classification that is composed of facial image pre-processing, image feature extraction, and automatic classification is proposed and can serve as an important reference for other assistant diagnosis systems related to facial images.
Enforcing Differential Privacy for Shared Collaborative Filtering
This paper introduces a privacy preserving shared collaborative filtering problem in order to leverage the data from other parties to improve its own collaborative filtering performance, with the privacy protected under a differential privacy framework.
Comparative Analysis of Vessel Segmentation Techniques in Retinal Images
A comparative analysis of various machine learning and deep learning-based methods for automated blood vessel segmentation in retinal images and compared these approaches to the dataset, evaluation metrics, pre-processing and post-processing steps, feature extraction, segmentation methods, and induced results.
Automatic Cataract Diagnosis by Image-Based Interpretability
  • Jianqiang Li, Xi Xu, +6 authors L. Xie
  • Computer Science
    IEEE International Conference on Systems, Man…
  • 1 October 2018
A deep-learning algorithm is developed to intuitively identify cataract attributes to solve limitations of current methods, and achieves state of the art accuracy of proposed method on detection and grading task.
A framework for privacy-preserving healthcare data sharing
A framework for privacy preserving data sharing with the view of practical application in more comprehensive way is introduced, which focuses on three key problems of privacy protection during data sharing which are privacy definition and detection, privacy protection policy management, privacy preserving health care data sharing.