脑血管介入领域专利分析数据

脑血管介入领域专利导航数据主要包括全球专利数据库中涉及脑血管介入领域技术的发明、实用新型、外观专利，并根据自有算法对专利数据进行检索、人工标引、分析评价，有助于了解脑血管介入领域专利申请情况；通过对该领域专利数据的标引、分析，可了解该技术领域的行业发展趋势及核心技术，有助于企业制定合适的发展路径，获取更好的发展资源。1、数据来源：全球专利数据库中涉及脑血管介入领域技术的发明、实用新型、外观专利；
2、数据采集：基于AHP层次分析法，采用定量与定性相结合，目标层为专利价值，指标层将专利价值指标体系分为技术、法律、市场三大一级指标，一级指标向下为二级指标，包括：
技术价值：同家族专利数量、引用其它专利数、被其他专利引用数、发明人数量；
法律价值：专利类型、权利要求数、法律状态；
市场价值：预估到期日、技术主题分类数、专利申请地域；
3、数据分析：根据专利名称和专利号通过专利接口数据获取专利分析对应的数据指标，采用1-9分标度法（最低为1分，最高为9分），所有二级指标分值的和即为专利总得分，根据分值的区间段对专利进行划分，50以上为高价值专利、30-50为重要专利、30分以下为一般专利；
4、数据应用：为脑血管介入技术领域研发人员提供技术参考及指引，有助于了解该技术领域行业发展趋势及核心技术，有助于企业制定合适的发展路径。以上算法中提到的数据结果均在数据结构中体现。

The patent navigation dataset for the cerebrovascular intervention field primarily covers invention patents, utility model patents, and design patents related to cerebrovascular intervention technologies in the global patent database. It retrieves, manually indexes, analyzes, and evaluates patent data using self-developed algorithms, which aids in understanding the patent application landscape in the cerebrovascular intervention field. Through indexing and analysis of the patent data in this field, the industry development trends and core technologies of the technical field can be grasped, helping enterprises formulate appropriate development paths and secure better development resources.

1. Data Source: Invention patents, utility model patents, and design patents related to cerebrovascular intervention technologies in the global patent database.

2. Data Collection: Based on the Analytic Hierarchy Process (AHP), a combination of quantitative and qualitative methods is employed. The target layer is patent value, and the indicator layer divides the patent value index system into three first-level indicators: technology, law, and market. The first-level indicators are further broken down into second-level indicators, including:
- Technical Value: Number of patent family members, number of cited patents, number of times cited by other patents, and number of inventors;
- Legal Value: Patent type, number of claims, and legal status;
- Market Value: Estimated expiration date, number of technical subject classifications, and patent application regions;

3. Data Analysis: Corresponding data indicators for patent analysis are obtained via patent interface data based on patent names and patent numbers. The 1-9 point scaling method (with a minimum score of 1 and maximum score of 9) is adopted. The sum of the scores of all second-level indicators constitutes the total patent score. Patents are categorized according to score intervals: patents with a total score above 50 are high-value patents, those with a score ranging from 30 to 50 are important patents, and those with a score below 30 are general patents.

4. Data Application: Provide technical references and guidance for R&D personnel in the cerebrovascular intervention technology field, help them understand the industry development trends and core technologies of this technical field, and assist enterprises in formulating appropriate development paths. All data results mentioned in the aforementioned algorithms are reflected in the data structure.