Merging Digital Medicine and Economics: Two Moving Averages Unlock Biosignals for Better Health
AbstractAlgorithm development in digital medicine necessitates ongoing knowledge and skills updating to match the current demands and constant progression in the field. In today’s chaotic world there is an increasing trend to seek out simple solutions for complex problems that can increase efficiency, reduce resource consumption, and improve scalability. This desire has spilled over into the world of science and research where many disciplines have taken to investigating and applying more simplistic approaches. Interestingly, through a review of current literature and research efforts, it seems that the learning and teaching principles in digital medicine continue to push towards the development of sophisticated algorithms with a limited scope and has not fully embraced or encouraged a shift towards more simple solutions that yield equal or better results. This short note aims to demonstrate that within the world of digital medicine and engineering, simpler algorithms can offer effective and efficient solutions, where traditionally more complex algorithms have been used. Moreover, the note demonstrates that bridging different research disciplines is very beneficial and yields valuable insights and results. View Full-Text
Share & Cite This Article
Elgendi, M. Merging Digital Medicine and Economics: Two Moving Averages Unlock Biosignals for Better Health. Diseases 2018, 6, 6.
Elgendi M. Merging Digital Medicine and Economics: Two Moving Averages Unlock Biosignals for Better Health. Diseases. 2018; 6(1):6.Chicago/Turabian Style
Elgendi, Mohamed. 2018. "Merging Digital Medicine and Economics: Two Moving Averages Unlock Biosignals for Better Health." Diseases 6, no. 1: 6.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.