MIRAMED for Android – Latest Version & Features

Behavior modification application to reduce the risk of metabolic syndrome and related diseases.Cognitive behavioral therapy that aims to change to better lifestyle habits by providing motivation to improve lifestyle habits by providing medical information on metabolic syndrome and related diseases individually Is supported by ICT (Information and Communication Technology).[Main functions]● Visualization of current and future health risks for each individual∙ Current and future health risk predictions are calculated from the results of health checkups and lifestyle questionnaires, so you can see the results visually and clearly.● Expert commentary and explanation video about health risks You can read about the health risks you are interested in by reading explanations by experts and watching the explanation videos.● Improvement of lifestyle habits tailored to each personWe propose what you can do that day (challenge) based on your registered lifestyle and improvement items you want to focus on.
Every day you choose what you can do on the day and what you want to do, and help you achieve your goals in small steps.● Record daily lifestyle habitsYou can record your lifestyle such as weight, diet, activities, drinking and smoking.
If you answer the morning and evening questionnaire, your daily life will be recorded.● Automating advice based on individual lifestyle and preferencesに A summary of the week is displayed in a graph for each week, and you can review the lifestyle habits and advice created by experts who will help you improve your life in the future.● Graph display of records◎ By viewing it in a graph, you can see at a glance the effects of changes in lifestyle habits.● Supports specific health guidanceIncluded is a function that can be used by those who are subject to specific health guidance so that they can continue to receive support.
(Consult with the professional in charge for the functions to be used)* The data of everyone who cooperated in the research will be anonymized and processed so that individuals cannot be identified, and then group analysis based on health-related data will be used for health measures.