Guest Editorial
Intelligent healthcare informatics in big data era

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Data analytics and predictive modeling

In “Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients,” Jingjing Liu, Carla Brodley, Brian Healy, and Tanuja Chitnis presented a constraint-based clustering method to remove the impact of confounding factors in identifying homogeneous groups of multiple sclerosis patients without assuming the form of influence of these confounding factors on the other features [1]. By using such method, the authors were able

Telemedicine and home monitoring systems

José M. Juarez, Jose M. Ochotorena, Manuel Campos, and Carlo Combi, in their paper “Spatiotemporal data visualization for homecare monitoring of elderly people,” proposed the multiple temporal axes model to visualize the behavior of elderly people who were living alone so that the health-risk scenarios and repetitive patterns can be identified to prevent home accidents [3]. The experiments confirmed that the proposed model were useful in representing fall and fatigue scenarios.

Epidemiology

In “Synthesis of a high resolution social contact network for Delhi with application to pandemic planning,” Huadong Xia, Kalyani Nagaraj, Jiangzhuo Chen, and Madhav V. Marathe presented a methodology to create an individual-based social contact network for Delhi using a variety of open source and commercial data [4]. Using such social contact network, the authors studied how an influenza-like illness would spread by a high performance agent-based modeling environment EPIFAST and then analyzed

Semantic and data integration

Ioannis Korkontzelos, Dimitrios Piliouras, Andrew W. Dowsey, and Sophia Ananiadou, in their paper “Boosting drug named entity recognition using an aggregate classifier,” utilized a voting system to combine a number of heterogeneous models to enhance the drug entity name recognition without relying exclusively on manual annotations of training data [6]. The authors also employed genetic programming to evolve regular-expressions that capture common drug suffixes as extra means of recognition. The

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