Anonymization Of Personal Data Research Articles

Advancing Korean nationwide registry for hepatocellular carcinoma: a systematic sampling approach utilizing the Korea Central Cancer Registry database.

Hepatocellular carcinoma (HCC) presents a substantial public health challenge in South Korea as evidenced by 10,565 new cases annually (incidence rate of 30 per 100,000 individuals), in 2020. Cancer registries play a crucial role in gathering data on incidence, disease attributes, etiology, treatment modalities, outcomes, and informing health policies. The effectiveness of a registry depends on the completeness and accuracy of data. Established in 1999 by the Ministry of Health and Welfare, the Korea Central Cancer Registry (KCCR) is a comprehensive, legally mandated, nationwide registry that captures nearly all incidence and survival data for major cancers, including HCC, in Korea. However, detailed information on cancer staging, specific characteristics, and treatments is lacking. To address this gap, the KCCR, in partnership with the Korean Liver Cancer Association (KLCA), has implemented a systematic approach to collect detailed data on HCC since 2010. This involved random sampling of 10-15% of all new HCC cases diagnosed since 2003. The registry process encompassed four stages: random case selection, meticulous data extraction by trained personnel, expert validation, anonymization of personal data, and data dissemination for research purposes. This random sampling strategy mitigates the biases associated with voluntary reporting and aligns with stringent privacy regulations. This innovative approach positions the KCCR and KLCA as foundations for advancing cancer control and shaping health policies in South Korea.

A Scoping Review on Analysis of the Barriers and Support Factors of Open Data

Background: Using personal data as Open Data is a pervasive topic globally, spanning various sectors and disciplines. Recent technological advancements, particularly in artificial intelligence and algorithm-driven analysis, have significantly expanded the capacity for the automated analysis of vast datasets. There’s an expectation that Open Data analysis can drive innovation, enhance services, and streamline administrative processes. However, this necessitates a legally and ethically sound framework alongside intelligent technical tools to comprehensively analyze data for societal benefit. Methodology: A systematic review across seven databases (MEDLINE, CINAHL, BASE, LIVIVO, Web of Science, IEEExplore, and ACM) was conducted to assess the current research on barriers, support factors, and options for the anonymized processing of personal data as Open Data. Additionally, a supplementary search was performed in Google Scholar. A total of n=1192 studies were identified, and n=55 met the inclusion criteria through a multi-stage selection process for further analysis. Results: Fourteen potential supporting factors (n=14) and thirteen barriers (n=13) to the provision and anonymization of personal data were identified. These encompassed technical prerequisites as well as institutional, personnel, ethical, and legal considerations. These findings offer insights into existing obstacles and supportive structures within Open Data processes for effective implementation.

Using Edge AI and Language Understanding for Predictive Modeling of Acute Medical Intoxications

This paper presents a new approach to processing and categorization of text from patient documents in Bulgarian language using Natural Language Processing and Edge AI. The proposed algorithm contains several phases - personal data anonymization, pre-processing and conversion of text to vectors, model training and recognition. The experimental results in terms of achieved accuracy are comparable with modern approaches.

O conceito de privacidade diferencial em relação à reidentificação de dados pessoais

O presente artigo tem por objetivo pesquisar uma das lacunas encontradas na Lei Geral de Proteção de Dados Pessoais (Lei nº 13.709/2018), que — se mal implementada em seu programa de conformidade — pode expor os dados de clientes e usuários. O problema de pesquisa se resume ao seguinte questionamento: há fragilidade na proteção de dados do cidadão, em razão dos mecanismos adotados pela legislação Brasileira? Num primeiro momento, tratou-se, brevemente, da anonimização de dados pessoais face à reidenticação, a fim de se poder tratar, posteriormente, da aplicação da privacidade diferencial. O método utilizado na abordagem foi o descritivo-sistemático. O método de interpretação jurídica foi o tópico sistemático. Verificou-se que é imperioso repensar os conceitos sobre segurança da informação de forma a transcender a mera obrigação legal, motivando de igual forma a inovação, a criatividade e a responsabilidade no tratamento de dados pessoais. Conclui-se, em linhas gerais, que a noção de segurança e de sigilo deve permear todas as atividades do tratamento de dados pessoais, desde a concepção de um produto ou serviço.

Protection of Personal Data in Digital Environment

In recent years, the application of legislation in the field of personal data has become the focus of attention of legal scholars. With the development of digital technologies, the problem of protection of personal data becomes especially urgent. The importance of personal data is so great that some scholars treat them as intangible goods. In order to protect the interests of citizens, our State takes measures to localize citizens’ personal data by statutory regulation of the Russian segment of the Internet. Such remedies as the right to be forgotten and personal data anonymization are also applied.However, the practice, including judicial practice, shows that the available means of protection of personal data are insufficient in the context of new technologies. However, the practice of application of laws on personal data reveals a number of problems that need to be addressed. The attribution of specific information about natural persons to personal data leads to a number of questions with regard to the practice of the activities of state bodies. Under currently effective Article 3 of the Federal Law, the term personal data refers to any information relating directly or indirectly to a certain or definable natural person (subject of personal data). At the same time, the law does not specify which data about an individual refers to personal data. Due to this broad understanding of personal data, questions arise concerning the attribution of paticular information about an individual to personal data. In this regard, the definition of criteria for the attribution of specific information about a person to personal data becomes an important theoretical task.The issues of primary concern include: 1) strengthening of responsibility for violation of personal data legislation; 2) giving priority to the issue of neutrality of the Internet, 3) solving the problem of the balance between direct access to publicly available data and the need to protect personal data. In the author’s opinion, it is necessary to ensure by means of comprehensive measures the priority of protection of personal data of citizens. This problem is of particular importance in connection with the elaboration of new laws on the digital profile of citizens.