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The word "system" comes from the Latin word "systema," which refers to the relationship between various functional elements or units. Systems are created to achieve one or more specific objectives. Systems science is an interdisciplinary discipline that investigates the nature of complex systems in nature, society, and science. Its goal is to create interdisciplinary foundations that may be used to a wide range of fields, including engineering, biology, medicine, and social sciences. It's becoming more usual to use systems science approaches to explain or foresee real-world outcomes of large-scale actions. The use of systems science in nutrition implementation studies is becoming increasingly prominent.
Nutrition is critical to one's health and well-being. Diet-related diseases are the major cause of death worldwide, with diet being the leading risk factor for premature death. In the field of personalized nutrition, machine learning and data science hold a lot of promise. When these two technologies are combined on a single platform that allows for continuous tracking, real-time validated dietary recommendations suited to an individual's lifestyle can be made. To put it another way, data on a person's eating habits, symptom patterns, physical activity, and lab values can be collated and analyzed to generate personalized suggestions on what to eat, when to eat, and why.
