Applications of GNNs and m-Health for Disease Tracking

Applications of GNNs and m-Health for Disease Tracking

Ab Qayoom Sofi, Ram Kumar, Monica Sankat
Copyright: © 2023 |Pages: 12
DOI: 10.4018/978-1-6684-6903-3.ch010
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Abstract

The lifestyle of people across the globe has become fast and faulty, which has resulted in a highly stressful life full of anxiety and depression. People's habits have become very unhealthy, which has led to huge rise in several Non-Communicable diseases (NCDs) or lifestyle disorders like diabetes, hypertension, cardio vascular diseases, mental health issues, etc. The heart disease is still the biggest cause of mortality in the world. It is spreading at an alarming rate due to bad lifestyles, consumption of junk food, smoking, drinking, and lack of awareness and alertness. These lifestyle disorders are spreading at an alarming rate and are spreading from epidemic to a pandemic. These, besides other health consequences, have serious social and economic implications for the individual and for the country. These conditions have multiple dimensions and can be controlled and prevented if diagnosed and treated in time by improving the overall personality of an individual with the help of technology and self-management.
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Background

According to US Food & Drug Administration (FDA), the delivery of health services and improvement in health outcomes via mobile and wireless devices is m-Health. m-Health interventions include AIDS, i.e., smartphone applications/apps, intelligent wearable technologies, devices and systems/services like Short Message Service (SMS). The subset of digital health or electronic health (e-Health) in which health information technology, telemedicine and personalized medicine are also included is m-health is as shown in Figure 1.

Figure 1.

m-health technologies

978-1-6684-6903-3.ch010.f01

Digital Health Information Technology (HIT is the future now owing to its adaptability to changed medical guidelines and translatability across different conditions. Further, e-Health is also quickly scalable to reach thousands of people and has tremendous potential to increased access to health care. Also, the major impact of Corona Virus pandemic of 2019 has made mobile and remote technologies indispensable for life. Life services have become dependent on technology which can provide better and improved quality services to the users easily in real time, without human intervention. Deep learning techniques like GANs and GNNs are best suited and can be explored for such apps/agents, intelligent devices and systems/services (AIDS).

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