67 results about "Dosage adjustment" patented technology

The disclosure relates to an intelligent dosing control method, device and system for softening and removing hardness. Based on calculation by the intelligent dosing control method or device for softening and removing hardness of the disclosure, a softening agent dosing scheme can be intelligently recommended, while allowing the dosage adjustment in real time, thereby realizing the real-time and precise dosing of agents throughout the process. The intelligent dosing control system for softening and removing hardness of the disclosure automatic monitors the inlet water quality, and the dosing device can be controlled to perform precise dosing of agents through the calculation by the intelligent dosing control method or device for softening and removing hardness. Based on the monitoring feedback of outlet water quality and then calculation by the intelligent dosing control method and / or device for softening and removing hardness, the agent dosage can be automatically readjusted.

The invention provides a personalized anesthesia management method and system. The method comprises the following steps: collecting real-time physiological data flow and previous medical record information of a patient to preliminarily evaluate operation requirements, and generating a preliminary anesthesia scheme; performing simulation prediction processing on the individualized reaction mode through a state-action value function updating mechanism by applying a deep Q network algorithm, and optimizing anesthetic selection and dosage by adopting a dynamic adaptive dosage adjustment technology to generate an optimized anesthetic scheme; the method comprises the following steps: extracting continuous physiological state parameters of a patient by applying an adaptive feedback control algorithm, presetting a safety threshold value, performing real-time comparison and analysis through a real-time parameter adjustment mechanism, performing automatic early warning processing on a trend deviating from a normal range by adopting an abnormal trend early warning technology, and generating a real-time adjustment instruction; and based on the real-time adjustment instruction, obtaining a patient recovery trajectory and subjective comfort evaluation, performing retrospective analysis, and generating a personalized anesthesia management scheme. According to the technical scheme provided by the invention, the safety of personalized anesthesia is remarkably improved.

The invention relates to the technical field of tumor treatment, in particular to an intelligent decision-making system for tumor precise targeted medication based on individual mutation information, which comprises a data processing layer, a variation annotation and function prediction layer, a knowledge base integration layer and a scheme decision-making engine and report visualization module. According to the intelligent decision-making system for tumor precise targeted medication based on individual mutation information, a rule engine and a prediction model are combined, dynamic priority ranking is output, multi-model fusion decision making is achieved, and clinical scene deep adaptation is achieved by predicting primary and secondary drug resistance, calculating liver and kidney function adjusting dosage and generating a combined medication time sequence scheme; through an individualized drug delivery scheme, combination drug use optimization is achieved, a visual clinical report is generated, clinical executable operation is further strengthened, and through algorithm quantification, a dynamic knowledge graph, AI auxiliary decision making and a clinical operation closed loop, the next-generation technical research direction of a tumor precise drug use system can be represented.

The invention discloses a torsion spring automatic injector dose adjustment positive and negative rotation sound production structure, which comprises a knob, a clutch tooth and a jumping tooth, the knob is sleeved on the periphery of the clutch tooth, the upper end face of the clutch tooth is provided with an inner ratchet ring, the knob is internally provided with an inner ring, the upper end face of the inner ring is provided with an outer ratchet ring, and the outer ratchet ring is provided with an outer ratchet ring. The jumping teeth are movably installed in the knob, the jumping teeth are provided with connecting keys or connecting ratchets, the lower end face of each jumping tooth is provided with an inner tooth block and an outer tooth block which are meshed with the inner ratchet ring and the outer ratchet ring respectively, and a plurality of rotating clamping grooves are further formed in the knob. A plurality of rotary clamping blocks clamped into the rotary clamping grooves respectively are arranged on the side edges of the jumping teeth, and the rotary clamping blocks can rotate by a certain angle in the rotary clamping grooves. According to the design, an axial tooth jumping sounding structure is adopted, when the dosage is adjusted, the adjusting knob is rotated clockwise to the desired dosage, the adjusting knob is rotated anticlockwise to return to the zero position, and jumping sounding can be achieved through meshing of spring force in the forward and reverse rotation process.

The invention discloses an intelligent anesthesia depth regulation and control system based on a multi-modal biological signal, which relates to the technical field of anesthesia depth regulation and control and comprises a multi-modal biological signal acquisition module, a signal fusion processing module, an intelligent anesthesia depth analysis module, an intelligent regulation and control decision module and an intelligent control terminal. Multi-modal biological signals of a patient are collected in real time, multi-modal physiological signals such as electroencephalogram, electrocardio and blood oxygen are fused, intelligent analysis is performed in combination with a deep learning model and a fuzzy PID control algorithm, and in combination with a pharmacokinetic model, the individual difference of the patient can be considered, the anesthesia depth of the patient is accurately evaluated, and the accuracy of anesthesia is improved. Individual anesthetic dosage adjustment is completed, a basis is provided for accurate regulation and control of anesthetic, accurate closed-loop regulation and control of anesthesia depth are achieved, physiological changes of a patient can be responded in real time, the anesthetic dosage can be adjusted in time, and compared with a traditional manual regulation and control mode, the risk of knowing and excessive anesthesia in an operation can be reduced.

The invention relates to the technical field of medical severe illness monitoring and management systems, in particular to an intensive illness medical patient monitoring and management system based on multi-modal data fusion, and the system comprises a physiological feature extraction module which collects a first feature set and processes the first feature set into a second feature set containing an electroencephalogram entropy value and cerebral perfusion pressure; the pathological state decoupling module is used for inversely calculating an observation vector, calculating a pharmacological stress vector in combination with a pharmacological baseline and a drug dosage, obtaining a pathological vector after stripping, and generating a pathological index; the evolution trend prediction module is used for predicting risk factors according to the pathological vector time sequence data; the closed-loop intervention decision-making module is used for combining the pathological indexes and the risk factors, calculating the medicine dosage adjustment amount according to a second mapping relation, and updating the infusion rate to achieve closed-loop regulation and control, and according to multi-modal data fusion and module cooperation, pharmacological stress is stripped, and the pathological indexes are generated so as to accurately judge the illness state; the risk can be actively predicted, and the drug dosage is automatically adjusted in combination with pathological indexes, so that the management efficiency and safety of critical patients are improved.

An Adaptive Neuro-Fuzzy Inference System (ANFIS) for total intravenous anesthesia management is disclosed, enabling control over administration of anesthetic agents and dynamic adjustment according to patient physiological feedback. The system processes patient data, including processed EEG signals, hemodynamic information, capnography, and pulse oximetry, to facilitate real-time anesthetic dosage adjustments.

The invention provides a drug dosage adjusting system and method based on blood concentration prediction, and belongs to the field of medical artificial intelligence, and the method comprises the steps: obtaining a standard structured data code based on a preset historical clinical database; performing standard structured data coding based on the predicted feature factor set to obtain a predicted feature factor set and a time point combination; constructing a classification prediction model and a regression prediction model based on the prediction feature factor set; a to-be-predicted blood sample is collected in a prediction characteristic factor set time point combination mode, and a blood concentration prediction result is obtained based on the to-be-predicted blood sample of the prediction characteristic factor set, the prediction characteristic factor set classification prediction model and the regression prediction model; and adjusting the dosage according to the blood concentration prediction result. According to the invention, individual differences are analyzed individually, personalized medication dosage adjustment suggestions are generated, and the medication dosage adjustment reliability is improved.

The invention provides a dosage prediction method and system based on multi-mode flotation froth digital characterization, and relates to the technical field of froth flotation. The method comprises the following steps: collecting multi-modal data of a foam state in a metal ore flotation process, wherein the multi-modal data comprises an RGB image, a video sequence and a three-dimensional point cloud; constructing three foam feature extraction networks, and respectively extracting RGB features, video dynamic features and three-dimensional point cloud features of the multi-modal data; fusing the extracted RGB features, the video dynamic features and the three-dimensional point cloud features based on a cross-modal attention mechanism to generate multi-modal features; constructing an expert knowledge base, wherein the expert knowledge base comprises structured rules and historical cases; and constructing a dosage decision model based on an expert knowledge base and a large language model, converting the multi-modal features into standardized vector representation, retrieving the expert knowledge base by utilizing similarity matching, and generating a dosage adjustment strategy. According to the invention, accurate prediction from foam multi-mode characteristics to dosage adjustment can be realized.

The invention relates to the technical field of medical care informatics and precision medical treatment, and discloses a hemodialysis patient precision medication system based on multiple omics and big data, and the system comprises a multi-source data collection module which collects the multi-source heterogeneous data of a patient and carries out the standardization and integration processing; the drug metabolism analysis module is used for analyzing drug metabolism paths and individual differences through multi-omics data, constructing a drug metabolism polymorphic model and outputting gene metabolism capability grades and biomarker risk tags; the initial medication decision-making module is used for constructing an initial medication decision-making model based on a federal optimization framework of a momentum enhancement and robust aggregation mechanism, and outputting a personalized initial medication scheme for erythropoietin and a vein iron agent; and the drug dosage adjustment module is used for dynamically optimizing the time node and dosage adjustment opportunity of drug administration through an asynchronous federal reinforcement learning framework in combination with a prospective parameter correction strategy. According to the invention, the intelligent medication system with strong robustness and fine decision is constructed.

The invention relates to an intelligent integrated medicine dispensing method and system, and the method comprises the steps: obtaining the prescription information of a target patient, obtaining the image data and bar code data of a to-be-dispensed medicine, carrying out the combined matching verification based on an image recognition result and a bar code analysis result, and recognizing a target medicine matched with a prescription medicine; judging whether a potential drug risk exists in the current prescription or not by utilizing a knowledge graph reasoning mechanism, and generating a dosage adjustment suggestion when the risk is detected; based on medicine components contained in the prescription information of the target patient, performing medicine classification processing, judging whether the medicine components have a cross-sharing relationship with other temporarily stored prescription medicines, and if the cross-sharing relationship exists, constructing a list of medicines to be dispensed; and for the compound medicine components contained in the list to be dispensed, completing dose disassembly and recombination processing among the compound components according to a preset proportioning logic to generate a compound dispensing result. The method has the effect of improving the automation precision of compound dispensing.

The invention discloses an anti-radiation drug dose data acquisition self-adaptive dose control system. The system comprises a physiological parameter real-time acquisition module, a transfer environment data capture module, a multi-scale pharmacokinetic modeling module, a group Bayesian optimization calculation module, an anti-radiation drug dose adjustment module and a system parameter dynamic updating module. All the modules work cooperatively, the wounded physiological data and the transfer environment data are collected and input into the multi-scale pharmacokinetic modeling module to construct a cross-scale drug metabolism model, the group Bayesian optimization calculation module combines group data optimization calculation, and the anti-radiation drug dosage adjusting module adjusts the dosage according to the optimization calculation. And the system parameter dynamic updating module continuously corrects the parameters. According to the system, cross-scale analysis, group and individual data fusion and dynamic adaptation are achieved, it is ensured that the medicine dosage is accurate and appropriate in the transfer process, and a guarantee is provided for wounded treatment.

The invention provides a transfection reagent based on blank lipid nanoparticles as well as a preparation method and application of the transfection reagent, and belongs to the technical field of biological medicines. The transfection reagent based on the blank lipid nanoparticles comprises the following components: (1) the blank lipid nanoparticles; (2) a biologically active ingredient; the blank lipid nanoparticles comprise ionizable lipid, phospholipid, cholesterol and polyethylene glycol conjugated lipid. The preparation process of the blank lipid nanoparticles and the transfection reagent is simple, and the preparation can be completed without the help of equipment. The transfection reagent based on the blank lipid nanoparticles is prepared from the blank lipid nanoparticles and nucleic acid, the dosage can be flexibly adjusted according to the requirements of a user, the transfection effect is stable, various cells (such as 293T, Hela, HepG2, TWO3 and MCF7) can be transfected, the cytotoxicity is low, and the transfection effect is good.

The invention relates to the technical field of formula optimization, and discloses a Qi king liquid formula optimization method and system based on big data analysis, and the method comprises the steps: obtaining basic attribute data and compatibility relation data of traditional Chinese medicinal materials; constructing a medicine taste associated map, extracting a map embedding vector, splicing the vector with the medicine dosage information, and generating a state expression of the current formula; calculating a main efficiency reward item; when the medicinal material combination in the formula triggers the compatibility rule, calculating a compatibility constraint penalty term; calculating a reward signal; identifying monarch, minister, assistant and guide roles of the medicinal materials, generating role masks, limiting dosage adjustment ranges of the medicinal materials of different roles, and updating a task specific strategy according to an award signal; updating meta parameters of the meta learner based on the reward signals of the plurality of tasks; and repeating internal and external circulation until the convergence condition is met, and outputting the Qi liquid formula with the highest accumulated reward. According to the method, a comprehensive evaluation function capable of simultaneously evaluating the curative effect and accurately representing various incompatibility risks is constructed, so that the optimization result of the Qi king liquid formula is better.

The invention discloses a tailings pond water treatment dosage prediction method based on historical output reverse modeling, comprising: acquiring a historical data set, the historical data set comprising water outlet end water quality index data and an actual dosage, the water outlet end water quality index data comprising a plurality of water quality indexes, the plurality of water quality indexes at least comprising a wastewater flow, a water outlet end water quality forward prediction model based on the GRU neural network is constructed, the water outlet end water quality forward prediction model obtains a water outlet end water quality prediction value based on the historical data set as input, and a calculation function of the dosage adjustment amount is constructed based on the difference value between the water outlet end water quality prediction value and preset target water outlet end water quality index data; and taking the dosage adjustment amount meeting specific conditions in the calculation function as the final dosage adjustment amount, and determining that the dosage at the next sampling moment is the last dosage plus the final dosage adjustment amount. According to the invention, real-time or quasi-real-time dosage prediction is realized.

Insulin Pump with Dosage Adjustment remotely

Most therapeutic treatments require dose adjustment after initial administration. Dosage adjustment is crucial to ensuring optimal safety and efficacy characteristics of the treatment. Gene therapy is inherently limited by the inability to adjust the dose after initial administration. This invention describes a genetic element capable of dose adjustment after the initial administration of gene therapy. The realization of dose adjustment allows for the replacement of multiple subcutaneous protein injection regimens with single-injection gene therapy, thereby improving pharmacokinetics, safety / efficacy characteristics, medication adherence, and reducing healthcare costs.

The invention relates to the technical field of wastewater treatment, and particularly discloses a recycling device for electroplating wastewater treatment, which comprises a stirring mechanism, a dosage adjusting mechanism, a buffer mechanism, a separation mechanism and a post-treatment mechanism. The dosage adjusting mechanism can detect the concentration of metal ions in the electroplating wastewater, a proper amount of precipitant is added according to the concentration of the metal ions, the stirring mechanism stirs the electroplating wastewater in the stirring area at the moment, the precipitant generates precipitates to be separated out, and the precipitates located on the lowermost layer of the stirring area can enter the buffer area; the electroplating wastewater reaches the standing area after being buffered by the buffering mechanism to form distribution of supernatant liquid and lower precipitate, the separation mechanism filters the supernatant liquid and pushes the precipitate out of the treatment tank from the bottom of the treatment tank, so that the separation of the supernatant liquid and the lower precipitate is realized, and the recovery of metal ions in the electroplating wastewater is realized. The wastewater treatment quality is improved.

The invention belongs to the technical field of medical instruments, and particularly relates to a disposable pen type syringe and a working method thereof. The lower pen container is connected with the upper pen container and is used for installing a cartridge; the driving mechanism is arranged in the upper pen container and comprises a lower fixing sleeve, a rectangular lead screw, a feedback connecting rod and a dosage adjusting assembly; the lower fixing sleeve is connected with the upper pen container, and a circular through hole is formed in the axis of the lower fixing sleeve; the rectangular screw rod is arranged on the circular through hole in a penetrating manner and flows out of the gap on the two sides; the feedback connecting rod is sleeved on the rectangular screw rod, and a pair of clamping pieces for extending into the gap is arranged on the lower end surface of the feedback connecting rod; according to the disposable pen-type injector and the working method thereof, the pair of clamping pieces is arranged on the lower end face of the feedback connecting rod, and the two clamping pieces correspond to the two ratchets in position and extend into the corresponding gaps respectively, so that when the feedback connecting rod rotates, the ratchets can be separated from the feedback connecting rod; the ratchets are stressed to bend inwards to extrude the clamping pieces so as to tightly hold the rectangular lead screw and prevent the rectangular lead screw from shaking to affect the precision of the injection dose.

The invention discloses a feed additive precise mixing system capable of monitoring environment stress in real time. The feed additive precise mixing system comprises a screw conveyor, a pressure supply unit, a spraying unit, an additive supply unit, an additive storage unit, an environment monitoring unit and a control unit, a discharge port of the spiral conveyor is arranged downwards, and the spraying unit is arranged on a shell of the spiral conveyor above the discharge port, is connected with the additive supply unit and is used for spraying an additive to feed; the additive supply unit comprises at least one temporary storage box, the bottom of the temporary storage box is conical, and a discharge port is formed in the bottom of the temporary storage box; the feed additive mixing device is unique in structure and ingenious in design, and can effectively solve the problems that existing feed additives are not uniformly mixed, and the proportion cannot be dynamically adjusted according to real-time environmental parameters due to additive amount adjustment lag.

This invention relates to the field of medical data and discloses a method for real-time monitoring of the efficacy of traditional Chinese medicine, Mongolian medicine, and Western medicine based on biosensor technology. This method enables real-time monitoring of drug efficacy and personalized medication guidance. The process includes collecting real-time multimodal biosignals from the user's body surface or minimally invasive body fluid samples to obtain raw sensor signals and acquire sensor array output; extracting real-time pharmacokinetic characteristic signals based on a preset pharmacokinetic model and mapping them to efficacy assessment parameters according to drug type; comparing the efficacy assessment parameters with a preset safe and effective concentration range to generate real-time medication status indicators and dosage adjustment prompts. This invention designs quantitative assessment methods for different types of drugs, enabling real-time comparison to generate efficacy status codes and dosage adjustment suggestions. It comprehensively generates a medication guidance report and transmits it in real-time to the user or clinical monitoring end, allowing for immediate adjustment of the medication regimen and ensuring safe and effective medication.

This invention relates to the field of seedling equipment technology and discloses a precise quantitative fertilization device for seedling roots. The device includes a liquid storage tube with an inlet pipe connected to its top. A fertilizer dosage adjustment component is located on one side of the storage tube, and a dispensing component is connected to the fertilizer dosage adjustment component on the same side. A draining component is located at the bottom of the storage tube and includes a connecting pipe. The connecting pipe is movably fitted to the bottom of the storage tube, and a draining pipe is installed on one side of the connecting pipe. When the bottom of the connecting pipe contacts the ground, the outlet and the draining pipe are connected, facilitating the application of liquid fertilizer from the storage tube to the seedling roots through the outlet and draining pipe. This achieves precise quantitative fertilization of the seedling roots, effectively avoiding the problems of seedling burn or nutrient deficiency caused by excessive or insufficient fertilization in traditional methods, and significantly improving fertilizer utilization and crop safety.

The embodiment of the present application provides a method, device, equipment and storage medium for adjusting isodose curves in real time, the method comprising: responding to the user's target selection operation, obtaining the first total dose field of the isodose curve before the target moves and the target dose field of the target; calculating the reference adjustment dose field according to the first total dose field and the target dose field; responding to the user's target movement operation, based on the target movement operation, the reference adjustment dose field and the target dose field, obtaining the second total dose field to adjust the isodose curve. The method can calculate and draw the latest isodose curve in real time with a small amount of calculation, so that the user can view the change information of the isodose curve in real time while ensuring that it does not occupy a lot of computing resources, thereby greatly reducing resource consumption and greatly improving the reference effect of the isodose curve.

The invention belongs to the technical field of pharmaceutical preparations, and particularly relates to a pharmaceutical composition, a method for reducing the serum uric acid level of a gout patient and application of topiromilast to preparation of a medicine for treating hyperuricemia / gout with hyperuricemia. The medicine is continuously administered according to the following dosage scheme: the initial dosage is 40-80mg / day, and the duration period is 2-4 weeks; the first adjusting dosage is 120-160mg / day, and the duration period is 2-4 weeks; the maximum dose is 160-320 mg / day, and the dose lasts for at least 8 weeks. According to the pharmaceutical composition, high-efficiency treatment of Chinese patients with hyperuricemia / gout is realized through a staged dosage increasing scheme, and renal function impairment is improved. The invention further provides a method for reducing the serum uric acid level of gout patients, continuous administration is carried out according to the dosage scheme, and the topiromilast is applied to preparation of the medicine for treating hyperuricemia / gout with hyperuricemia and is suitable for people with renal insufficiency.

When it is impossible to obtain the turbidity that can be discharged, the warning lamp is lit on the screen of the remote operation terminal. 【Solution means】 The flocculant addition amount adjustment system 10 is composed of a flocculant addition amount adjustment device 100 that adjusts the addition amount of the flocculant to be added to the turbid water, a control panel 200 that controls the flocculant addition amount adjustment device 100, and a remote operation terminal 300 connected to the control panel by a communication line. The flocculant addition amount adjustment device 100 is equipped with a sensor for measuring the turbid water. The control panel has an adjustment means for performing a process for adjusting the addition amount of the flocculant to be added to the turbid water based on the measurement result by the sensor, and a warning means for lighting a warning lamp on the screen of the remote operation terminal when it is impossible to obtain the turbidity that can be discharged even after the adjustment of the addition amount of the flocculant is carried out by the adjustment means.

The application provides a method and system for predicting the amount of reagent based on multi-modal flotation froth digital characterization, relating to the technical field of froth flotation. The method comprises: collecting multi-modal data of the froth state in the metal ore flotation process, including RGB images, video sequences and three-dimensional point clouds; constructing three froth feature extraction networks to extract the RGB features, video dynamic features and three-dimensional point cloud features of the multi-modal data respectively; fusing the extracted RGB features, video dynamic features and three-dimensional point cloud features based on a cross-modal attention mechanism to generate multi-modal features; constructing an expert knowledge base, which includes structured rules and historical cases; constructing a reagent dosage decision model based on the expert knowledge base and a large language model, converting the multi-modal features into standardized vector representations, retrieving the expert knowledge base using similarity matching, and generating a reagent dosage adjustment strategy. The application can realize accurate prediction from froth multi-modal features to reagent dosage adjustment.

The invention discloses a cardiovascular drug dose regulation and control system based on reinforcement learning, and relates to the technical field of medical artificial intelligence, and the system comprises a data acquisition module which collects physiological data, metabolic parameters, a drug interaction matrix and a current drug combination of a patient in real time; the adjustment factor calculation module calculates a drug metabolism rate adjustment factor through a pharmacokinetic model; the interaction modulation module adjusts the interaction intensity according to the adjustment factor; the risk score calculation module calculates the adverse reaction risk of the patient based on the adjusted interaction matrix, the drug combination and the physiological data; the first processing module judges whether the risk score exceeds the standard or not, and if yes, the risk is reduced through medicine replacement or dosage reduction; if the risk score is lower than a second threshold value, the second processing module maintains the current dose, otherwise, a dose adjustment strategy is optimized based on reinforcement learning; according to the method, the medicine dosage adjustment can be more fit with the actual metabolic characteristics of the patient, and the accuracy and individualization degree of treatment are improved.

A high-precision continuous dosing syringe includes a handle, a housing, a dosing chamber connected to one end of the housing, and an injection outlet at the other end of the dosing chamber. A piston rod is provided, and an adjusting sleeve is provided on the piston rod. One end of the piston rod passes through the housing and extends into the dosing chamber, while the other end is connected to the handle. A locking assembly is provided on the outer circumference of the adjusting sleeve and the inner wall of the housing. When the piston rod returns to its original position, the locking assembly fixes the adjusting sleeve. This invention, through the design of the locking assembly and the toothed ring, ensures that the adjusting sleeve is always fixed in its original position during the reciprocating motion of the piston rod, preventing the accumulation of errors that could lead to dosage adjustment failure. Furthermore, the tooth pitch of the toothed ring matches the circumferential adjustment scale of the adjusting sleeve, allowing for timely calibration and improving the accuracy of the injected medication.

A method for synthesising polyurethane foam compositions convenient for use in areas wherein rigidity and lightness are required together in automotive sector and including the steps of: conduct of polyol dosage adjustment, adding inflating reaction catalyser onto polyol of convenient amount and mixing at mechanical mixture, adding glycerine while mixing is continued, adding surfactive while mixing is continued, adding gelling reaction catalyser while mixing is continued, adding cell opening agent while mixing is continued, adding cell opening agent while mixing is continued, adding at least an inflating agent selected from a group consisting of n-pentane, cyclo-pentane, C3H8O2 gas and C2H4O2 gas while mixing is continued, conduct of temperature adjustment of polyol base mixture, conduct of isocyanide dosage adjustment in a separate place, injecting polyol base mixture into reaction container from one side and isocyanides from other side, conduct of temperature control during reaction and opening mold and removing final product.

This invention relates to the field of biomedical testing and clinical medication management technology, specifically to an antiepileptic patient medication assessment and management system based on chromatography-mass spectrometry (CMS) data. The system includes: a data acquisition module for collecting multidimensional time-series data generated by CMS in patient biosamples, and obtaining prescription dosage, administration timestamps, weight, and genotyping data; a benchmark reconstruction module for constructing an ideal pharmacokinetic benchmark based on a compartmental model and the Michaelis-Menten kinetic rules; a parameter injection module for generating a theoretically abnormal simulation state; a differential extraction module for generating a real residual vector and a theoretical residual matrix; a coupling decision module for outputting the state assessment results; and a management feedback module for generating medication reminders, dosage adjustment suggestions, medication change prompts, resampling, or manual review instructions, achieving a closed-loop connection from testing data to clinical decision-making.