How will Machine learning change the Personal Healthcare?
Personal health concerns to the wellness of the individual. While personal healthcare is given to people those who are not able to take charge of their health. It comprises people with the particular mental dysfunction, physically challenged people, etc. Making conscious decision to be healthy is the ability to take care of your life. It not only relates to the physical well being of a person but it also includes the wellness of cultural, mental, emotional, spiritual and so on.
What is Personal Health Record?
The PHR is a tool that you can use to gather, manage and share past and current information about your personal health. Sometimes this information can save your money and exclude inconvenience by repeating regular medical tests.
Medical records and your PHR are not the same things. Medical records comprise data about your health collected and maintained by each of your healthcare providers. A PHR is an information about your health compiled and managed by you. The difference is in how you use your personal health record to increase the quality of your healthcare.
Machine Learning for Knowledge Extraction from PHR Big Data
Cloud computing and database technologies can force a new generation of cloud-based PHR(personal health record) services that contain patient data from different sources, including automatically forwarded data from Internet-connected devices of patient living place. The patient information stored in such personal medical record systems create big data, the analysis of which using the proper ML algorithms is expected to improve diagnosis and effectiveness if treatment, to reduce healthcare costs and, consequently, improve the overall quality and effectiveness of the provided healthcare services. It describes a health data analytics generator which uses machine learning algorithms for analyzing PHR big data in order to extract information to provide the better provision of medical services for diagnosing and predicting the disease. This engine consists of the data preparation, the model creation, and the data analysis modules.
I believe that working on a better solution to make all this personal data accessible to healthcare providers in a useful yet private way is the first level of constructing greater health-disease detection systems. I think that once this obstacle is excluded, it could pave the way to personal notification systems, which could connect data such as purchasing behavior, regular exercise, and diet receipt, and express blood tests.
Vinnd is the digital personal healthcare startup designed to revolutionize the weight loss and management market. With the immerse of machine learning technologies, people want more accurate and machine driven assistance. Our technologies enable users to get express blood test results right away and intelligent database powered by machine learning helps to create recipes combining the list of recommended food items.
