4 results about "Meta-analysis" patented technology

The invention discloses a Meta analysis method, system and device based on artificial intelligence and a storage medium, and the method comprises the steps: receiving a natural language research problem inputted by a user, analyzing the natural language research problem, and generating a structured research framework according to an analysis result; constructing a retrieval formula based on the structured research framework, and retrieving literatures from the plurality of literature databases by using the retrieval formula to obtain a candidate literature set; and performing information extraction on the candidate literature set to obtain quantitative research data, and performing Meta analysis based on the quantitative research data to obtain a Meta analysis result. According to the method, the natural language research problem is analyzed, the structured research framework is generated according to the analysis result, the retrieval formula is constructed based on the structured research framework to retrieve literatures from the multiple literature databases, information extraction is performed on the candidate literature set, Meta analysis is performed based on the extracted quantitative research data, and the efficiency and accuracy of Meta analysis are improved.

The invention relates to the field of environmental antibiotic resistance gene (ARG) risk assessment, and aims to solve the problems that in existing research, microplastics are inconsistent in ARG abundance conclusion, and evaluation is one-sided only depending on relative abundance (abundance normalized with 16S rRNA gene and the like as a reference) or absolute abundance (abundance based on copy number). The invention provides a double-index collaborative risk evaluation method introducing Meta analysis. The method comprises the steps of data acquisition, index processing, Meta analysis and multi-factor adjustment, double-index interpretation and risk assessment and the like. By integrating ARG relative abundance and absolute abundance data of a micro-plastic exposure group and a control group and combining factors such as environment matrix, exposure time, particle size, concentration and type, the influence trend of micro-plastic on ARG abundance under different conditions is evaluated, the risk type is judged from a double-index perspective, and the accuracy and applicability of resistance risk evaluation are improved.

The invention belongs to the technical field of drug safety pharmacology, and particularly relates to an hERG margin automatic data calculation method and system. The method comprises the following steps: step 1, calculating the statistical magnitude of hERG IC50 of a drug to be analyzed, wherein the statistical magnitude comprises a sample size, an arithmetic mean value, a lower limit and an upper limit of a 95% confidence interval, and a standard deviation; step 2, taking the statistics obtained in the step 1 as basic data, generating probability distribution of key parameters through Monte Carlo simulation, and calculating distribution of safety windows; and step 3, integrating data of all drugs to be analyzed, and obtaining overall safety window estimation through meta-analysis. The invention further provides a system for implementing the method. The method has the advantages of high efficiency, accuracy and accurate personalized calculation for special drugs, provides more scientific and reliable technical support for hERG safety window calculation and risk assessment, and has a good application prospect.

This invention discloses a method and system for analyzing and computable input of outcome indicators in meta-analysis RCTs, relating to the fields of medical statistics and literature data processing. The method first organizes a set of statistical elements with outcome indicators, detection time points, and comparison relationships as their scopes; then, it abstracts the meta-analysis formula into statistical element slot templates and performs slot matching within the outcome scope; when a target slot is missing, it is filled in based on preset substitution rules; after computability verification, a standardized meta-analysis input structure is generated. This invention solves the problems of existing technologies where meta-analysis data preparation is highly dependent on manual processes, computability verification is difficult to automate, and missing elements cannot be automatically filled in. It transforms manual judgment and calculation into a reusable structured process, significantly improving the efficiency, consistency, and data utilization of large-scale RCT outcome data processing. The output standardized data can be directly used by existing meta-analysis software.