562 results about "Pediatric department" patented technology

The invention relates to the technical field of medical information processing, in particular to an information sharing method of a pediatric clinical nursing system. And obtaining complete medical record sample data including age, symptom results, treatment cycles and drug doses. Comprehensively analyzing the similarity between the age and the disease result, determining a difference characteristic value, and carrying out initial clustering to form a cluster; disease distribution and influence characteristics are analyzed from disease results in view of differences of disease response and treatment requirements of child patients of different age groups. Selecting a to-be-analyzed disease, determining a prominence index by combining the distribution density and the treatment cycle of the to-be-analyzed disease in the cluster, and reflecting distribution characteristics; meanwhile, the occurrence frequency, the difference characteristic value, the treatment cycle and the medication dosage are analyzed, and the influence degree index is judged. Clinical indexes are determined by combining the influence degree and the outburst index, and individual features of the child patient are accurately represented. Clustering analysis is carried out based on clinical indexes, a more accurate clustering result is obtained, and the information sharing accuracy is improved.

The invention relates to the technical field of data management, in particular to a visual data processing system applied to traditional Chinese medicine pediatrics. The system comprises the following modules: a data acquisition module used for acquiring a pediatric physiological time sequence data set; carrying out physiological event anchor point identification on the pediatric physiological time sequence data set to obtain a physiological event anchor point set; the time calibration module is used for performing noise suppression on the pediatric physiological time sequence data set according to the physiological event anchor point set to obtain a noise-suppressed physiological time sequence data set; performing time calibration on the noise suppression physiological time sequence data set to obtain a time correction physiological data set; the feature extraction module is used for extracting a tongue picture image set from the time correction physiological data set; and generating a tongue picture feature vector set based on the tongue picture image set. According to the method, the problem of dynamic association analysis caused by multi-dimensional sign data isomerism in traditional Chinese medicine pediatric clinical data processing can be effectively solved.

The invention discloses a peritoneal dialysis anti-blocking high-circulation nursing device for pediatric nephropathy patients, and belongs to the technical field of medical nursing. Comprising the following modules: a multi-mode sensing module for collecting pressure, flow velocity, turbidity, vibration spectrum and temperature data in a catheter in real time; the signal optimization processing module highlights weak features of potential blockage and improves data quality; the feature fusion analysis module is used for comprehensively evaluating the state of the catheter; the AI prediction analysis module is used for predicting the occurrence probability, the position and the possible time window of blockage; the risk early warning and intervention module is used for sending out graded early warning signals according to the prediction result and generating personalized anti-blocking intervention suggestions; the micro-fluidic execution module inhibits formation of initial sediments through a micro-pulse technology and dynamic fluid mechanics adjustment, and effectively reduces the risk of blockage; and the remote medical support module provides visual data visualization and intervention suggestions, supports remote monitoring and emergency intervention, and is seamlessly integrated with a hospital system while ensuring data security.

The invention discloses a risk identification method for pediatric intensive care unit nursing, which relates to the technical field of medical early warning, and comprises the following steps: collecting multi-modal data, and carrying out time synchronization on the collected data; data features are extracted based on the data after time synchronization, fusion processing is carried out through linear weighting, an optimization target is determined, effective fusion of multi-modal data is achieved, and fused high-quality data is obtained; constructing a risk assessment model, calculating a risk value for each time point in combination with historical data, obtaining an overall risk value through weighted average processing, judging a risk level, and optimizing prediction accuracy through a self-correction algorithm; the state of a patient is monitored in real time, the early warning level is set, abnormal conditions are early warned according to the corrected risk value variation, feedback of medical staff is collected, and the system performance is continuously optimized. The method has remarkable clinical application value, and can effectively improve early warning accuracy, optimize medical resource allocation, reduce medical risks and improve overall medical quality.

The invention discloses a pediatric nursing practice teaching VR model generation method and system based on a training video, and relates to the technical field of artificial intelligence and virtual reality, and the method comprises the steps: collecting a pediatric nursing operation video for preprocessing, extracting a key motion frame, separating medical staff, a child patient and a medical tool, converting the key motion frame into an editable 3D model, and carrying out the recognition of the editable 3D model; acquiring multi-modal data corresponding to the pediatric nursing operation, matching the converted 3D actions with semantics through a multi-modal large model, and optimizing 3D conversion; key contact points are marked in the 3D action sequence to carry out collision detection point burying, an operation process is defined to generate a 3D animation sequence with interaction logic to construct a VR teaching scene, the reasonability of the operation logic is verified through user testing, and scene correction is carried out. Through video analysis, 3D element replacement and animation point burying technologies, intelligent generation of pediatric nursing VR teaching resources is realized, and a more efficient and more immersive solution is provided for nursing education.

The invention discloses a pediatric nursing knowledge question answering method and system based on multi-modal large model enhancement, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining multi-modal pediatric nursing related data, extracting knowledge entities, obtaining description text data of each knowledge entity, and forming text representation of the entities; establishing triple information according to the knowledge entities to generate a pediatric nursing knowledge basic database, and extracting triads to construct a knowledge graph; extracting multi-order graph data of each entity, and learning to generate knowledge graph representation of the entity; the text representation and the knowledge graph representation are fused, comprehensive knowledge information representation of the entity is obtained, the comprehensive knowledge information representation is used for finely adjusting a preset multi-modal large model, and pediatric nursing knowledge questions and answers are conducted through the finely-adjusted multi-modal large model. According to the method, more accurate, more reliable and more intelligent knowledge questions and answers are realized in a pediatric nursing scene through deep fusion of the structured constraint of the knowledge graph and the generalization ability of the multi-modal large model.

The invention relates to the technical field of pediatric medical treatment, and discloses a pediatric neonatal jaundice clinical phototherapy management system, which integrates illumination data in an equipment lamp box through a data integration module, extracts the illumination data acquired by the data integration module through a fusion analysis module, and fuses the operation duration of a lamp tube to obtain a phototherapy result. An equipment health state basic model is established, the current equipment health state is predicted through an equipment prediction module on the basis of the established health state basic model, a prediction result is fed back, a patient information system is connected through a personality support module, and basic physiotherapy data of a patient is acquired. And outputting recommended illumination intensity and recommended treatment time based on the basic physiotherapy data, and monitoring a plurality of pieces of monitoring information and feedback output results through a remote monitoring module. The system accurately solves the core problems of dynamic fluctuation of phototherapy intensity, calibration lag and lack of personalized adaptation, and finally achieves dual guarantee of phototherapy effect and safety.

The invention relates to the technical field of intelligent medical treatment, in particular to a pediatric patient nursing guidance method and system based on data analysis. According to the method and the device, the short-time fluctuation and the long-term trend of the physiological characteristics of the patient can be dynamically captured by acquiring the physiological sign data in the specified time period, calculating the fluctuation condition and forming the health state fluctuation information instead of only depending on single-point measurement data, so that the change characteristics of the health state are reflected more accurately. According to the method, the physiological signs conforming to the mean value or standard deviation range are screened, the individual health baseline is established, and the deviation between the individual health baseline and the physiological signs is compared, so that health assessment can be adaptively adjusted according to the reference states of different individuals instead of unified standard assessment, and misjudgment caused by individual differences is reduced. The nursing intervention level is set based on the change trend of the physiological signs, and the nursing intensity can be flexibly adjusted through factors such as duration and frequency of the fluctuation trend, so that the nursing suggestions have higher pertinence.

The present application provides a synthetic nutritional composition comprising a milk fat globule membrane (MFGM) in the range of from about 10 [mu] g / 100 kcal to about 1500 mg / 100 kcal for use in improving neurological development in a pediatric subject. During a first year of life, a synthetic nutritional composition is administered to the pediatric subject for at least three months, and the administration of the synthetic nutritional composition improves neural development of the pediatric subject starting from at least two years old.

The invention relates to the technical field of data mining, in particular to a pediatric clinical intelligent medical decision model training method. The method comprises the following steps: acquiring historical pediatric clinical data and desensitizing to obtain historical pediatric clinical desensitization data; performing data fusion according to the historical pediatric clinical desensitization data to obtain historical pediatric clinical fusion data; performing pediatric health care detection on the historical pediatric clinical fusion data to obtain abnormal pediatric health care data; calculating health recovery influence factors of the abnormal pediatric health care data to obtain the health recovery influence factors; performing pediatric doctor recommendation priority division on the historical pediatric clinical sensitivity reduction data to obtain pediatric doctor recommendation priority data; and according to the pediatric doctor recommendation priority data and the health recovery influence factors, constructing an intelligent pediatric medical decision model. The decision-making efficiency of pediatric medicine can be improved.

The invention discloses a pediatric nursing quality prediction and optimization method based on transfer learning, and the method comprises the following steps: S1, collecting target pediatric nursing data, and carrying out the preprocessing; s2, selecting source data, and extracting source data features; s3, constructing and training a nursing quality prediction model; s4, carrying out migration and fine tuning on the nursing quality prediction model by adopting an improved fine tuning method; s5, inputting target pediatric nursing data to the fine-adjusted nursing quality prediction model, calculating a nursing quality index, and evaluating a prediction result; s6, generating a nursing scheme based on the prediction result, and optimizing the nursing scheme according to the execution effect; and S7, applying the optimized nursing scheme to actual nursing work, and establishing an updating mechanism, so that the nursing quality prediction model is combined with new data to carry out iterative optimization. The pediatric nursing quality prediction and optimization are realized by adopting transfer learning and deep learning methods, and the pediatric nursing quality prediction and optimization method has the advantages of high data adaptability, high prediction accuracy and intelligent optimization of the nursing scheme.

The utility model discloses a jaundice irradiation device for pediatric treatment, and particularly relates to the technical field of child medical treatment, the jaundice irradiation device comprises supporting legs, the upper ends of the supporting legs are fixedly connected with a protective shell, the protective shell is fixedly connected with a rocking bed, and the right part of an inner cavity of the protective shell is fixedly connected with a transmission assembly; the bottom wall of the inner cavity of the protective shell is fixedly connected with a treatment assembly, and the right end of the transmission assembly is fixedly connected with a matching assembly. According to the jaundice irradiation device for pediatric treatment, the device treatment assembly is arranged to be matched with the device transmission assembly, so that a child can swing back and forth when being put into an inner cavity of a transparent soft cushion of the device, the child can be pacified, treatment can be completed when the child falls asleep, and the treatment effect is good. Furthermore, a device gear II is meshed with a device rotating ring, so that light of the device on a connecting plate can rotate by 360 degrees around the child, and the child is treated.

The invention discloses an intelligent triage system for pediatric emergency pre-examination, and relates to the technical field of emergency pre-examination, body surface images of child patients are collected through a visual monitoring module, invasive operation on the patients is not needed, and unnecessary pain is avoided; the image recognition module and the first intelligent evaluation module are used for performing wound detection and evaluation on the child patient, so that the medical personnel have enough time to treat the patient with more serious illness, medical resources are effectively balanced, comprehensive evaluation is further provided for the child patient through the data acquisition and processing module, potential health problems are effectively recognized, and the medical personnel experience is improved. And the AI diagnosis module combines the third evaluation result and the fourth evaluation result to carry out priority ranking on the child patients, and generates a personalized diagnosis scheme by using historical medical records and an intelligent technology, so that the night work pressure of pediatric emergency medical personnel is reduced, the child patients are processed more quickly, and medical resources are uniformly distributed.

The invention relates to the technical field of medicine smashing, and discloses a pediatric nursing medicine smashing device which comprises a box body, a drawer is slidably connected to the box body, a first fixing block is fixedly connected to the top of the box body, a second fixing block is slidably connected into the first fixing block, and a threaded rod is in threaded connection with the inner side of the second fixing block; the bottom end of the threaded rod is fixedly connected with a pressing plate. A pressing plate rotates while sliding downwards, after the pressing plate makes contact with tablets, the tablets are extruded, smashed and rotationally ground, the smashing effect is improved, a threaded rod can be directly pushed up and down by changing the position of a sliding mechanism, fixing of a second fixing block is omitted, the pressing plate directly slides downwards, and the smashing effect is improved. Residual tablet chippings at the bottom of the pressing plate are cleaned by pushing the scraping plate, and the height of the threaded rod is locked by inserting a sliding mechanism into a third hole in the outer side of the threaded rod, so that the scraping plate can be in direct contact with the bottom of the pressing plate when sliding.

The utility model relates to the technical field of medical equipment, in particular to a pediatric infusion support which comprises a vertically-arranged infusion rod and a plurality of hooks connected with the upper end of the infusion rod, the infusion rod is provided with a storage device with the position capable of being adjusted up and down, and the storage device can rotate around the infusion rod. The infusion rod is further provided with a limiting device with the position capable of being adjusted up and down, and the limiting device can rotate around the infusion rod. According to the infusion support for the pediatric department, the redundant part of the infusion tube can be stored, the influence of the overlong infusion tube on the action of a child patient is reduced, and when the child patient walks on the ground, the distance between the child patient and the infusion support can be limited, so that an infusion needle is prevented from falling off. Meanwhile, the position of the limiting device on the infusion rod can be adjusted, so that the infusion device is suitable for children with different heights.

The utility model relates to the technical field of medical facilities, and discloses an auxiliary infusion support suitable for pediatric nursing, which comprises a support body, the lower surface of the support body is fixedly connected with a base, the outer surface of the support body is provided with a plurality of limiting grooves, the outer surface of the support body is movably provided with a moving pipe, and the left surface and the right surface of the moving pipe are fixedly connected with supporting rods. The base is fixedly connected with a movable pipe, the movable pipe is fixedly connected with a supporting rod, the side, away from the center of the frame body, of the supporting rod is fixedly connected with a bottle sleeve, a notch is formed in the outer surface of the bottle sleeve, the front surface of the movable pipe is fixedly connected with a sleeve pipe, and the inner surface of the sleeve pipe is movably connected with a limiting rod. The height of the hanging bottle sleeve on the infusion support can be adjusted in a self-adaptive mode, the movable range of hanging of an infusion bottle is widened, and therefore the movable space during infusion of children is enlarged.

The invention relates to the technical field of laryngoscopes, discloses a drug delivery device for the throat of the pediatric department, and solves the problems that observation dead angles exist and the drug spraying coverage area is too large when a conventional visual laryngoscope end drug delivery structure is used for drug spraying treatment. The medicine spraying falling point enters the shooting range of the shooting module, the medicine spraying range is narrowed in the mode, the opened transparent plate can block the outer side of the medicine spraying range, medicine sputtering is avoided, the medicine spraying assembly is arranged to be adjustable, multiple spraying heads are arranged, and adaptive selection can be made according to the focus area; the lower side of the mounting seat B is also provided with a sputum removal assembly for removing sputum in a medicine spraying area of the medicine spraying assembly, so that medicine can be sprayed after the sputum is removed, and the treatment effect is improved.

The utility model discloses an atomization dosing device for pediatric medicine, and relates to the technical field of pediatric nursing, the atomization dosing device comprises an atomization cup, a fixed disc is fixedly connected in a fixed box, a connecting rod is rotatably connected to one side, far away from the fixed disc, of a rotating disc, and an adjusting blade is rotatably connected to the other side of the connecting rod; the atomizer has the advantages that under the cooperation of the adjusting opening, the baffle and the round holes, the effect of controlling the number of the round holes in the pores opened by the adjusting opening is achieved, then flow adjustment is achieved, the flow speed of atomization administration is easier to control, and therefore targeted administration amount control is carried out according to the age difference of different children and the difference of respiratory capacity, and the atomization effect is improved. Furthermore, the absorption effect of the atomized medicine by the children is improved.

A system for aiding in a medical clinical trial involving one or more pediatric patients includes a patient passport, individual achievement stickers that are awarded to pediatric patients and that are placed within the patient passport, and an interactive companion toy having distinctive patterns thereon. A camera of a mobile device scans the individual achievement stickers in the patient passport and / or the distinctive patterns on the interactive companion toy, and an interactive incentivization application logic section of the mobile device unlocks and display reward content to the pediatric patient. The interactive companion toy, the mobile application, and the physical passport can be customized to match particular protocols of the clinical trial. The pediatric patient is thus incentivized to participate and continue the clinical trial. Virtual medical play associated with the clinical trial can be practiced on the interactive companion toy in an augmented reality environment. Parents are assisted through automatic text message reminders, and electronic patient-reported outcomes are collected, transmitted, processed, and summarized for visualization and insights via a cloud-based clinical trial portal.

The invention relates to the technical field of massage teaching training, in particular to a pediatric traditional Chinese medicine acupoint massage teaching training system and method. Comprising the steps of generating a personalized learning plan based on learning data, generating a virtual child anatomical model based on the personalized learning plan, obtaining student operation data in operation, and performing labeling processing in the virtual child anatomical model to obtain a labeling result; an operation evaluation result is generated through recursive hierarchical error feedback and an adaptive adjustment algorithm, and further, the operation adjustment amount of the trainee is calculated by using a recursive adjustment mechanism; generating a real-time improvement suggestion based on the operation adjustment amount of the student; adjusting learning contents according to the real-time improvement suggestions to obtain a latest personalized learning plan; and training according to the latest personalized learning plan until the training is completed. The problems that in pediatric traditional Chinese medicine acupoint massage teaching training, individuation of learning plans is insufficient, and operation adjustment of trainees is inaccurate and incomplete are solved.

The invention discloses pediatric pneumonia aerosol inhalation treatment equipment and a using method, and relates to the technical field of pediatric pneumonia aerosol inhalation treatment.The pediatric pneumonia aerosol inhalation treatment equipment comprises an equipment main body mechanism, the equipment main body mechanism comprises an atomization equipment main body, and the upper surface of the atomization equipment main body is fixedly communicated with a liquid medicine containing cylinder; the paediatric pneumonia aerosol inhalation treatment equipment comprises an atomization equipment main body, the output end of the atomization equipment main body is fixedly communicated with an inhalation mask, and the front side of the atomization equipment main body is provided with an elastic flow control mechanism. The installation tightness of the equipment and the face of the child patient is adjusted, the problem that the face of the child patient is squeezed and injured due to the fact that an elastic band is too tight is solved, the problem that the face of the child patient falls off due to the fact that the elastic band is too loose and the child patient is active is solved, and the comfort and use convenience of the equipment are improved. The device can be conveniently used for aerosol inhalation treatment of a child patient.

In certain embodiments, the present disclosure is directed to methods for treating disorders, including depressive disorders, seizure disorders, and anhedonia, in a pediatric subject, wherein the methods comprise orally administering a therapeutically effective amount of the voltage-gated potassium channel allosteric modulator, A-[4-(6-fluoro-3,4-dihydro-1H-isoquinolin-2-yl)-2,6- dimethylphenyl]-3,3-dimethylbutanamide (azetukalner), or a pharmaceutically acceptable salt thereof, to the pediatric subject, for example, under fed conditions.

The utility model discloses a pediatric nursing atomizer. The pediatric nursing atomizer comprises a main body structure, an atomizing structure and a mask, the atomization structure is detachably arranged in the main body structure, and the mask is connected with one of the first valves in the main body structure through a first pipeline. When the main body box is obliquely placed, the position of a container (a liquid collecting cylinder) is automatically adjusted, the container is kept in a vertical state all the time, and therefore it is guaranteed that liquid medicine makes full contact with a metal sheet on the ultrasonic atomizer; the container is kept in a vertical state, so that the liquid level is prevented from inclining or waste caused by less liquid is avoided, and the liquid medicine is effectively saved; and the full contact between the liquid medicine and the metal sheet of the ultrasonic atomizer is kept, so that the atomization of the medicine can be better realized, and the treatment effect is improved.

The invention discloses a pediatric spleen and stomach dynamic monitoring method and system based on an AI chip, and belongs to the field of medical health information technology and artificial intelligence chip application. The pediatric spleen and stomach dynamic monitoring method comprises the steps that a multi-mode original data set is collected, signal preprocessing is conducted, and a feature data set is obtained; key indexes of spleen and stomach syndromes are identified from the feature data set based on the viscera differentiation theory, and a dialectical result is obtained; inputting the feature data set into a dialectical verification model to generate a spleen and stomach health assessment value; when the spleen and stomach health assessment value is smaller than an assessment threshold value, a first-level health early warning signal is generated; and when the duration of the first-stage health early warning signal is greater than a duration threshold, generating a second-stage combined early warning signal according to pre-acquired user behavior log data. A multi-modal data fusion technology, a dynamic noise reduction algorithm and a grading early warning mechanism are adopted, and doctors can be assisted in achieving precise evaluation of the spleen and stomach states of children and personalized traditional Chinese medicine intervention.

The utility model relates to the technical field of pediatric medical treatment, in particular to a warm-keeping wrapping device which comprises a placing frame and clamping plates, the clamping plates are arranged on the left side and the right side of the interior of the placing frame, the outer walls of the clamping plates are arranged to be arc-shaped corners, and the rear side of the inner wall of the placing frame is fixedly connected with a sleeve. An extrusion assembly is arranged in the middle of the interior of the sleeve and used for stabilizing the using position of the quilt. Through mutual clamping of the clamping plates on the two sides of the inner wall of the placing frame, a placed quilt can be clamped towards the middle of the interior of the placing frame, when a baby uses the quilt placing frame, the quilt placing frame can be stably used for the baby in an attached mode, then when the quilt is placed, the corners of the quilt can be stably extruded through the extrusion assembly, and therefore the quilt placing frame is convenient to use. Therefore, the possibility that the infant is injured due to the fact that the quilt is separated and falls off when the infant uses the quilt can be avoided.

The invention discloses a vital sign prediction system for pediatric clinical assistance, which belongs to the technical field of intelligent medical treatment and comprises a data preparation module, a data preprocessing module, a feature selection module, a vital sign prediction module and a prediction result feedback module. According to the method, feature selection is carried out by adopting a dwarf optimization algorithm combined with spider monkey optimization, the advantages of the two optimization algorithms are combined, the calculation speed is increased, redundant features are removed, the over-fitting risk of the model is reduced, the performance of the prediction model is improved, and the overall practicability and effectiveness of the vital sign prediction system are enhanced; a time convolution long-short-term parallel model is adopted to predict vital signs, and a time convolution subnet and a long-short-term memory subnet are arranged in parallel, so that the model can efficiently capture local details and global trends at the same time, and is more suitable for capturing short-term fluctuations and long-term laws in vital sign related data, and then the model prediction effect is improved; and the overall accuracy of the vital sign prediction system is enhanced.

The invention discloses a pediatric infant tracheal foreign body taking-out device in the technical field of pediatric oral cavities, which comprises foreign body forceps and an endoscope, and further comprises an inflatable outer pipe sleeve, an inner sleeve is arranged in the outer pipe sleeve, and a plurality of connecting rods are arranged between the inner sleeve and the outer pipe sleeve. Two ends of the connecting rod are fixedly connected with the outer wall of the inner sleeve and the inner wall of the outer sleeve respectively; a plurality of annular grooves are formed in the outer wall of the outer pipe sleeve in a linear array mode in the axis direction, liquid collecting grooves are formed in the inner bottom walls of the annular grooves in the circumferential direction, and a plurality of first adsorption holes are formed in the inner side walls of the liquid collecting grooves in an annular array mode. Friction force between the expanded outer pipe sleeve and the trachea of the infant is increased through the annular groove, meanwhile, when secreted liquid in the liquid collecting groove is sucked through the first adsorption holes, certain negative pressure is formed in the annular groove, the stabilizing force between the inner wall of the trachea of the infant and the outer wall of the outer pipe sleeve is further increased, and therefore the situation that the outer pipe sleeve slides due to disordered movement of the child is reduced; and the foreign body forceps fall off the protection range.

The present disclosure provides, in part, methods of treating an epileptic disorder in a pediatric subject in need thereof, comprising administering radiprodil to the pediatric subject; pharmaceutical compositions comprising radiprodil and pharmaceutically acceptable excipients and methods of use thereof in the treatment of disorders such as epileptic disorders.

The invention relates to a pediatric depression risk level determination method and device based on a big language model, and the method comprises the steps: carrying out the unified coding, noise elimination, sentence segmentation, part-of-speech tagging, voice-to-text conversion and desensitization processing based on original text data, and obtaining a standardized text; inputting the standardized text data into a preset large language model, and generating a semantic vector through word segmentation embedding; based on the semantic vector, utilizing a preset emotion recognition model to extract a depressive symptom entity and feature items thereof; based on the symptom entity and the feature item, mapping according to a preset depression standard dictionary and a synonym expansion word list to obtain a quantifiable structured feature vector; and based on the structured feature vector, obtaining a risk assessment level of the depression of the children. According to the method, the recognition accuracy of the depressive symptoms in the unstructured text is improved, and the time cost of manual interpretation is reduced.

A decision support method and system is provided for monitoring and treating pediatric obesity. Embodiments include generating obesity risk curves corresponding to obesity risk levels, for example, severe and morbid obesity risk levels. Generating obesity risk curves depends on predicting at least one health proxy such as, for example, spend data and chronic conditions. Generating severe obesity curves depends on an age-dependent multiplier. An obesity risk level is assigned to a target pediatric patient using the obesity risk curves dependent on the age-dependent multiplier. In some aspects, an intervening response is initiated based on the assigned obesity risk level.