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Healthcare 4.0 paradigm aims at realization of data-driven and patient-centric health systems wherein advanced sensors can be deployed to provide personalized assistance. Hence, extreme mentally affected patients from diseases like Alzheimer can be assisted using sophisticated algorithms and enabling technologies. Motivated from this fact, in this paper, DeTrAs: Deep Learning-based Internet of Health Framework for the Assistance of Alzheimer Patients is proposed. DeTrAs works in three phases: (1) A recurrent neural network-based Alzheimer prediction scheme is proposed which uses sensory movement data, (2) an ensemble approach for abnormality tracking for Alzheimer patients is designed which comprises two parts: (a) convolutional neural network-based emotion detection scheme and (b) timestamp window-based natural language processing scheme, and (3) an IoT-based assistance mechanism for the Alzheimer patients is also presented. The evaluation of DeTrAs depicts almost 10–20% improvement in terms of accuracy in contrast to the different existing machine learning algorithms.

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Global software development is the emerging trend in today's industry. The software development industry is investigating the use of agile development methodologies in distributed environment due to its benefits of better communication and coordination, improved productivity and quality. However research has shown that implementing agile practices in global software development is beneficial and challenging too. Therefore it is necessary to carefully understand the benefits and challenges of combining agile methods in distributed projects. This paper presents the benefits and challenges of applying agile methods in global software development in order to understand it properly.

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