AIMC Topic: Privacy

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Protecting the Privacy of Cancer Patients Using Fuzzy Association Rule Hiding.

Asian Pacific journal of cancer prevention : APJCP May 25, 2019
Objective: Privacy protection in the medical field means the protection of individuals from being associated with undesirable conditions, diagnoses or treatments (Sensitive Attributes). The problem of knowledge discovery from health care data by appl...
Privacy Data Mining Algorithms Neoplasms Fuzzy Logic Humans
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A machine learning based approach to identify protected health information in Chinese clinical text.

International journal of medical informatics May 22, 2018
BACKGROUND: With the increasing application of electronic health records (EHRs) in the world, protecting private information in clinical text has drawn extensive attention from healthcare providers to researchers. De-identification, the process of id...
Humans Machine Learning Software Natural Language Processing Confidentiality Privacy Algorithms Electronic Health Records China Computer Security
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Protecting Your Patients' Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics.

Journal of the American College of Radiology : JACR Feb 6, 2018
The Hippocratic oath and the Belmont report articulate foundational principles for how physicians interact with patients and research subjects. The increasing use of big data and artificial intelligence techniques demands a re-examination of these pr...
Knowledge Ownership Big Data Radiologists Confidentiality Informed Consent Privacy Computer Security Humans Artificial Intelligence
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Supporting Regularized Logistic Regression Privately and Efficiently.

PloS one Jun 6, 2016
As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects...
Computer Communication Networks Machine Learning Computer Security Logistic Models Cooperative Behavior Models, Statistical Humans Confidentiality Privacy Information Dissemination
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Policy forum. Data, privacy, and the greater good.

Science (New York, N.Y.) Jul 16, 2015
Large-scale aggregate analyses of anonymized data can yield valuable results and insights that address public health challenges and provide new avenues for scientific discovery. These methods can extend our knowledge and provide new tools for enhanci...
Humans Artificial Intelligence Female Anonymous Testing Privacy Depression, Postpartum Policy Making Early Diagnosis Social Networking
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Automated Detection of HONcode Website Conformity Compared to Manual Detection: An Evaluation.

Journal of medical Internet research Jun 2, 2015
BACKGROUND: To earn HONcode certification, a website must conform to the 8 principles of the HONcode of Conduct In the current manual process of certification, a HONcode expert assesses the candidate website using precise guidelines for each principl...
Advertising Disclosure Consumer Health Information Privacy Natural Language Processing Search Engine Automation Humans Internet Certification
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Secure Secondary Use of Clinical Data with Cloud-based NLP Services. Towards a Highly Scalable Research Infrastructure.

Methods of information in medicine Nov 7, 2014
OBJECTIVES: The secondary use of clinical data provides large opportunities for clinical and translational research as well as quality assurance projects. For such purposes, it is necessary to provide a flexible and scalable infrastructure that is co...
Medical Informatics Cloud Computing Software Design Internet Humans Privacy Natural Language Processing Data Mining
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Designing for designers: insights into the knowledge users of inclusive design.

Applied ergonomics May 6, 2013
Over the last twenty years, research on inclusive design has delivered a wealth of publications and initiatives, forming an emerging knowledge base for inclusive design. The inclusive design knowledge base breaks down into two discrete areas - unders...
Privacy Community Participation Knowledge Bases Humans Needs Assessment Communication Ergonomics Equipment Design Hospital Design and Construction
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Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacy.

Neurosurgical focus Jul 1, 2025
OBJECTIVE: Use of neurosurgical data for clinical research and machine learning (ML) model development is often limited by data availability, sample sizes, and regulatory constraints. Synthetic data offer a potential solution to challenges associated...
Machine Learning Language Female Humans Privacy Large Language Models Generative Adversarial Networks Aged Male Neurosurgical Procedures
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PrivCore: Multiplication-activation co-reduction for efficient private inference.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
The marriage of deep neural network (DNN) and secure 2-party computation (2PC) enables private inference (PI) on the encrypted client-side data and server-side models with both privacy and accuracy guarantees, coming at the cost of orders of magnitud...
Computer Security Humans Neural Networks, Computer Algorithms Privacy
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