Towards a Healthcare 4.0 Vocabulary: A Patent-Based Approach

被引：0

作者：

Loiotile, Annamaria Demarinis ^{[1
,2
]}

De Nicolo, Francesco ^{[1
,2
]}

Agrimi, Adriana ^{[3
]}

Conti, Giuseppe ^{[4
]}

Amoroso, Nicola ^{[5
]}

Bellotti, Roberto ^{[1
]}

机构：

[1] Univ Bari Aldo Moro, Dipartimento Interateneo Fis, I-70126 Bari, Italy

[2] Politecn Bari, Dipartimento Ingn Elettr Informaz, I-70125 Bari, Italy

[3] Univ Bari Aldo Moro, Direz Ric Terza Missione & Int, I-70125 Bari, Italy

[4] Netval Network Valorizzaz Ric Univ, Lecce, Italy

[5] Univ Bari Aldo Moro, Dipartimento Farm Sci Farmaco, I-70125 Bari, Italy

来源：

INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 4, WORLDCIST 2023 | 2024年 / 802卷

关键词：

Patent analysis; Healthcare; 4.0; Natural Language Processing; Clustering; Complex network;

D O I：

10.1007/978-3-031-45651-0_35

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In modern knowledge economies, intellectual property assets are both engines of development and drivers of social transition. One of the most widely used approaches to identifying promising emerging technologies, record the direction of technological development and R&D activities and forecast innovation is patent analysis. The paper analyses the patent information available in the Knowledge-Share (KS) platform, an Italian patents database, first by using Natural Language Processing and clustering techniques, and then, by means of a complex network analysis on the most frequent words, focuses the analysis on those clusters inherent to health in order to investigate the technologies used and their applications to the Healthcare 4.0 domain. The paper aims to a first attempt of formulating a vocabulary of Healthcare 4.0 based on the patents produced by the most important Italian universities and research centers.

引用

页码：351 / 360

页数：10

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