Application of Cognitive Computing in Healthcare

Application of Cognitive Computing in Healthcare

Sabarmathi K. R. (Bannari Amman Institute of Technology, India) and Leelavathi R. (Bannari Amman Institute of Technology, India)
DOI: 10.4018/978-1-5225-7522-1.ch014


Cognitive systems mimic the functions of the human brain and improves decision-making to harness the power of big data in multiple application areas. It generates a model that reacts by sensing, understanding natural language, and providing a response to stimulus naturally rather than traditional programmable systems. Cognitive computing is trained to process large unstructured datasets imposing machine learning techniques to adapt to different context and derive value from big data. Using a custom chat box or search assistant to interact with human in natural language which can understand queries and explains data insights. This chapter also touches on the challenges of cognitive computing to demonstrate insights that are similar to those of humans.
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The intense increase of population worldwide is challenging the existing healthcare systems. With the advancement of new technology, smart home environments are used for monitoring the patients and also enabling patients to remain in the home for their comfort. In this paper, a Cloud-Based Smart Home Environment (CoSHE) for home human services is proposed. CoSHE gathers physiological, movement and audio signals through wearable sensors and gives information about patients’ daily activities. This allows healthcare experts to think about day by day activities, behavioral changes and monitor rehabilitation. A smart home environment is set up with natural sensors to give related information. The sensor information is captured and sent to a private cloud, which gives ongoing information access to remote healthcare experts. Our contextual analysis demonstrates that we can effectively coordinate relevant data to human wellbeing information and this thorough data can help betterment of human wellbeing (Pham, Mengistu, Do & Sheng, 2018).

In the recent decades, the advancement in medical and computer technologies provided a great interest for both academia and industry. But most healthcare systems fail in emergency situations of patients and are incapable to give a customized resource services for users. To address this issue, the Edge-Cognitive-Computing-based (ECC-based) smart-healthcare framework is proposed in this paper. This framework uses cognitive computing to observe and examine the user’s physical health. It additionally modifies the computing resource allocation of the entire edge computing network extensively as per the risk hazard of each user. The investigations demonstrate that the ECC-based healthcare framework gives a better user experience and simplifies the computing resources sensibly, and in addition altogether enhancing in the survival rates of patients in a sudden crisis (Chen, Li, Hao, Qian & Humar, 2018).

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