A major application of<unk>  has been in health and wellness improvement. Many devices and services help with tracking physical activity, caloric intake, sleep quality, posture, and other factors involved in personal well-being. Corporate wellness programs, for example, will often encourage some form of tracking. Genetic testing and other services have also become popular.<unk>  is also being used to improve personal or professional productivity, with tools and services being used to help people keep track of what they do during the workday, where they spend their time, and whom they interact with. Another application has been in the field of education, where wearable devices are being used in schools so that students can learn more about their own activities and related math and science. Many start-up companies occupy the market right now. Most of them help track data for some type of health pattern, be it sleep or asthma. However, there are bigger companies such as Apple and Google (Fitbit) that occupy some of the space in the market. A recent movement in<unk>  is gamification. There is a wide variety of<unk> -tracking technologies that allow everyday activities to be turned into games by awarding points or monetary value to encourage people to compete with their friends. The success of connected sport is part of the gamification movement. People can pledge a certain amount of real or fake money, or receive awards and trophies. Many of these<unk> -tracking applications or technologies are compatible with each other and other websites so people can share information with one another. Each technology may integrate with other apps or websites to show a bigger picture of health patterns, goals, and journaling. For example, one may figure out that migraines were more likely to have painful side effects when using a particular migraine drug. Or one can study personal temporal associations between exercise and mood. The<unk>  is also demonstrating to be a major component of "big data science", due to the amount of data that users are collecting on a daily basis. Although these data set streams are not conventional big data, they become sites for data analysis projects, that could be used in medical-related fields to predict health patterns or aide in genomic studies. Examples of studies that have been done using QS data include projects such as the DIYgenomics studies, the Harvard's Personal Genome Project, and the American Gut Microbiome Project.<unk>  baby<unk>  baby is a branch of the<unk>  movement that is concerned with collecting extensive data on a baby's daily activities, and using this data to make inferences about behaviour and health. A number of software and hardware products exist to assist data collection by the parent or to collect data automatically for later analysis. Reactions to<unk>  baby are mixed. Parents are often told by health professionals to record daily activities about their babies in the first few months, such as feeding times, sleeping times and diaper changes. This is useful for both the parent (used to maintain a schedule and ensure they remain organised) and for the health professional (to make sure the baby is on target and occasionally to assist in diagnosis). For<unk> , knowledge is power, and knowledge about oneself easily translates as a tool for<unk> -improvement. The aim for many is to use this tracking to ultimately become better parents. Some parents use sleep trackers because they worry about sudden infant death syndrome. A number of apps exist that have been made for parents wanting to track their baby's daily activities. The most frequently tracked metrics are feeding, sleeping and diaper changes. Mood, activity, medical appointments and milestones are also sometimes covered. Other apps are specifically made for breastfeeding mothers, or those who are pumping their milk to build up a supply for their baby.<unk>  baby, as in<unk> , is associated with a combination of wearable sensors and wearable computing. The synergy of these is related to the concept of the Internet of things.
Quantified self
Patient group directions
Personal narrative
Patient experience
Personal health application
Mold health issues
Flexible spending account
Doctor–patient relationship