1,720,957 research outputs found
Balancing Data Accessibility and Privacy: Machine Learning Approach to PII Detection in Electronic Health Records
No full textThis constructive research study examined the development of a scalable, context-aware machine learning (ML) framework for detecting personally identifiable information (PII) in unstructured electronic health records (EHRs). The research problem addressed the absence of reproducible, data-driven methods capable of balancing privacy preservation and data accessibility while maintaining compliance with legal frameworks such as the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR). The study focused on healthcare organizations and researchers who face challenges protecting sensitive health data while facilitating secure data sharing for clinical and analytical purposes. The study's purpose was to construct, implement, and evaluate a privacy-preserving artifact guided by the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework. The research design integrated natural language processing (NLP) with unsupervised and hybrid ML algorithms, including term frequency–inverse document frequency (TF-IDF) vectorization, singular value decomposition (SVD), and density-based spatial clustering of applications with noise (DBSCAN). A transformer-based named entity recognition (NER) module utilizing Bidirectional Encoder Representations from Transformers (BERT) to validate clustering outputs. The research data were obtained from the Medical Information Mart for Intensive Care (MIMIC-III) database, a publicly available and de-identified dataset licensed through PhysioNet (Johnson et al., 2016).The experimental code and replication scripts are available at: https://github.com/NU-Academics/PII-Detection or Bert & Regular_Expression PII Detection - Colab. The model was trained and evaluated in Google Colab using BigQuery integration to ensure compliance with PhysioNet's data-use requirements. Empirical results showed that at a sample size of 5,000 records, the model achieved a precision of 0.955 and a recall of 0.466. When scaled to 10,000 records, precision remained high at 0.854, while recall improved to 0.580. Clustering validity indices confirmed coherent separation between PII-dense and non-PII clusters (silhouette coefficient ≈ 0.38–0.45; Davies–Bouldin Index ≈ 0.95–0.99). Approximately 61 percent of the records were labeled as noise, indicating that the model effectively isolated high-risk text regions while minimizing false positives. The study concluded that unsupervised NLP methods can reliably identify latent PII patterns within de-identified clinical narratives, achieving performance comparable to that of supervised models with lower computational costs. These findings demonstrate that scalable ML frameworks can reconcile the privacy–utility balance in EHR analytics. The research recommends incorporating hybrid explainable AI components, such as SHAP and LIME, to improve interpretability and extend future validation to institutionally governed datasets containing unredacted identifiers under Institutional Review Board (IRB) oversight
IMPLEMENTING THE USE OF SIX SIGMA FOR QUALITY AND CONTINUOUS IMPROVEMENT
Get PDFThis thesis investigates the how Six Sigma can be applied to aid to trace the root cause of why the organization under study is not seeing much progress, to find out how to improve the quality of service and also aid in the continuous improvement of the organization. The theoretical framework employed is the Lean Six Sigma (LSS) which deploy the general concept of eliminating waste in any given system or service to promote efficiency through careful usage of the five phases of Six Sigma.
The study deploys the use of a qualitative research and data was gathered by submitting questionnaires to the employees of the organization. After a careful analysis of the data by the deployment of the phases of Six Sigma (DMAIC), suggestions and proposals are given for factors that need improvement through management initiative and direction.
The overall idea of the thesis was to implement the use of Six Sigma for quality and continuous improvement. The writer hopes that by implementing these proposals of the study, there would be a significant improvement in the quality of services provided and a significant progress would be seen in the organization.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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