6 results about "Diet advice" patented technology

Provide a system. 【Solution means】 Means for obtaining health-related data from a user, Means for transferring the obtained data to an information processing device, Means for analyzing the transferred data and generating a health management plan for the user, Means for visually and aurally providing the generated health management plan to the user, Means for receiving the achievements and feedback from the user and utilizing them for the creation of the next health management plan, Means for recording dietary information using a mobile terminal, Means for proposing exercise time and dietary advice based on the data transmitted from the mobile terminal, A system including the above.

Provide a system. 【Solution means】An acquisition means for acquiring exercise data, An acquisition means for acquiring exercise data, A body shape analysis means for photographing and analyzing body shape data, A nutrition analysis means for analyzing diet data and determining the calorie and nutrient balance, A proposal generation means for generating a personalized exercise program and diet proposal based on these data, A notification means for notifying the user of the generated exercise program and diet proposal, An audio output means for providing health-related information via audio output, Means for providing a consumer health management robot for acquiring and analyzing data in a residential environment, A system including.

This invention discloses a method for dynamic regulation of pancreatic enzymes based on dietary intake, comprising the following steps: S1: collecting patient data through an input module; S2: calculating an individualized pancreatic enzyme dose based on the data collected by the input module through an algorithm module; S3: outputting the pancreatic enzyme dose and dietary recommendations based on the calculation results through an output module; S4: adjusting parameters through a closed-loop feedback module. The pancreatic enzyme dose is dynamically calculated based on the patient's fat intake and digestive capacity at each meal to achieve a precise match between "how much fat is consumed and how much enzyme is given."

The embodiment of the application discloses a kind of healthy diet management method, system, electronic equipment and storage medium, it is related to health management technical field, comprising: obtaining the diet scene time sequence image frame under diet scene, and the diet behavior time sequence image frame corresponding to target object under diet scene;Diet scene time sequence image frame is obtained according to the image of pre-configured image acquisition equipment and is collected diet area, and diet area is the area where target object is located, and diet behavior time sequence image frame is obtained according to the image of pre-configured image acquisition equipment and is collected target object;In response to feature extraction is carried out to diet behavior time sequence image frame, obtain diet behavior time sequence data, according to diet behavior time sequence data, determine the effective eating behavior data of target object under diet scene;According to diet scene time sequence image frame, determine the nutrition characteristic data of diet under diet scene;According to effective eating behavior data and nutrition characteristic data, generate the diet suggestion scheme corresponding to target object.

This application discloses an information-based planning and evaluation system for the treatment of active ulcerative colitis, belonging to the field of planning and evaluation technology. By analyzing the state data of food and drugs after they pass through the digestive tract, and calculating sharpness and residue load, it quantifies the potential mechanical stimulation or burden that different foods and drugs may cause to the fragile and damaged colonic mucosa. It provides a more sensitive and accurate quantitative tool by automatically extracting microscopic feature data from endoscopic images. In addition to predicting drug efficacy, it also predicts mucosal healing trends under specific food patterns. Regarding drug recommendations, it obtains a drug recommendation list through weighted integration using machine learning models and the aforementioned prediction results. For dietary advice, it combines association rule mining and Bayesian networks to obtain specific food pattern suggestions, improving the targeting and patient suitability of dietary management, and enhancing the transparency and safety of clinical decision-making.

The present application is directed to a system which integrates advanced scientific methods, and artificial intelligence (AI) enabled software, applications and algorithms to assess and optimize health impacts of existing consumables and theoretical consumable formulations, artificial and natural ingredients, and associated bio-functional effects, for purposes of generating actionable Relevant Nutrition Scores (RNS's). RNS AI-enabled software, algorithms and applications, systems & methods analyze comprehensive food information, food preparation practices, additives, preservatives and packaging by weighting user-aligned inputs. RNS supports global product assessments inclusive of health benefits, opportunities and risks, dietary choices, food innovations, purposeful health certifications, and healing and recovery protocols, achieved through dynamic, multi-dimensional nutritional research and applied health impacts, each and all aligned in support of specific diverse users. System outputs optimize existing, speculative and future consumable formulations, deliberate dietary recommendations, purposeful products production, treatment protocols, and pharmaceutical efficacies, while promoting wellness, disease resilience and natural immunities.