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Test-Driven Anonymization in Health Data: A Case Study on Assistive Reproduction

Cristian Augusto, Miguel Angel Olivero, Jesus Moran, Leticia Morales, Claudio de la Riva, Javier Aroba, Javier Tuya
2020 2020 IEEE International Conference On Artificial Intelligence Testing (AITest)  
The approach is evaluated in a real-world dataset from the Spanish Institute for the Study of the Biology of Human Reproduction (INEBIR).  ...  To obtain a trade-off between both qualities (privacy and functional suitability), we use the Test-Driven Anonymization (TDA) approach, which anonymizes incrementally the data to train the AI tools and  ...  Augusto et al., "Test-Driven Anonymization in Health Data: A Case Study on Assistive Reproduction," 2020 IEEE International Conference On Artificial Intelligence Testing (AITest), Oxford, United Kingdom  ... 
doi:10.1109/aitest49225.2020.00019 dblp:conf/aitest/AugustoOMMRAT20 fatcat:m73v5j66hfgodh4zsmmywoyffy

A Data-Driven Approach for Addressing Sexual and Reproductive Health Needs Among Youth Migrants [chapter]

Pragati Jaiswal, Amber Nigam, Teertha Arora, Uma Girkar, Leo Anthony Celi, Kenneth E. Paik
2020 Leveraging Data Science for Global Health  
Results: The study involved building a web-app and curation of a questionnaire for the migrants to build a pipeline of data that could be later used for deriving insights about the patterns in migration  ...  While this movement has led to the development of many new international policies and programs that help assist these migrants, still a lot needs to be done to plug the unmet sexual and reproductive health  ...  On the other side, in case of unintended pregnancy, there are increased chances of unsafe birth or abortion if requisite reproductive health services are inaccessible.  ... 
doi:10.1007/978-3-030-47994-7_25 fatcat:gmpol5evjzbxxisnd6s35aytdm

Promises and pitfalls of data sharing in qualitative research

Alexander C. Tsai, Brandon A. Kohrt, Lynn T. Matthews, Theresa S. Betancourt, Jooyoung K. Lee, Andrew V. Papachristos, Sheri D. Weiser, Shari L. Dworkin
2016 Social Science and Medicine  
data sharing policies developed with quantitative studies in mind.  ...  Although qualitative research is rarely published in the high-impact journals that have adopted, or are most likely to adopt, data sharing policies, qualitative researchers who publish work in these and  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We thank Norma C.  ... 
doi:10.1016/j.socscimed.2016.08.004 pmid:27535900 pmcid:PMC5491836 fatcat:ek5gcp62tffuphwsmebedlidwe

Open Data Resources for Fighting COVID-19 [article]

Teodoro Alamo and Daniel G. Reina and Martina Mammarella and Alberto Abella
2020 arXiv   pre-print
In an attempt to facilitate the rapid response to the study of the seasonal behaviour of Covid-19, we enumerate the main open resources in terms of weather and climate variables.  ...  Open data resources, along with data-driven methodologies, provide many opportunities to improve the response of the different administrations to the virus.  ...  Thus, on a general basis, the infected cases without a positive laboratory test are not considered confirmed cases in the time-series data available on the different open-source repositories.  ... 
arXiv:2004.06111v3 fatcat:bbbtby5kpjgx3okdwhrpvfgu3y

Genomic medicine and data sharing

Sobia Raza, Alison Hall
2017 British Medical Bulletin  
Growing points: Ongoing policy developments around genomics and health data create opportunities to ensure systems and policies are in place to support proportionate, effective and safeguarded data sharing  ...  Effective data sharing does not occur in the UK despite being essential for the delivery of high-quality genomic services to patients across clinical specialities and to optimize advances in genomic medicine  ...  Generally, these resources all rely on voluntary data submissions; predominately from either research-driven sequencing studies, or from clinical services undertaking patient genetic and genomic testing  ... 
doi:10.1093/bmb/ldx024 pmid:28910995 pmcid:PMC5862236 fatcat:ufiv636yvbgc5fauvb2mq5i63u

Big Data and Ambulatory Care

Jane Hyatt Thorpe, Elizabeth Alexandra Gray
2015 The journal of ambulatory care management  
Big data is heralded as having the potential to revolutionize health care by making large amounts of data available to support care delivery, population health, and patient engagement.  ...  This article presents an overview of the legal framework governing health information, dispels misconceptions about privacy regulations, and highlights how ambulatory care providers in particular can maximize  ...  Case law There is a growing body of case law addressing health information privacy. In Sorrell v.  ... 
doi:10.1097/jac.0000000000000059 pmid:25401945 pmcid:PMC4272234 fatcat:jobdwdhm4na5jn56ntaupx3rv4

Ethical Issues in Patient Data Ownership

Varsha Chiruvella, Achuta Kumar Guddati
2021 Interactive Journal of Medical Research  
The increasing interest of for-profit companies in acquiring the databases of large health care systems poses new challenges to the protection of patients' privacy.  ...  Patient data have conventionally been thought to be well protected by the privacy laws outlined in the United States.  ...  There is a possibility that disclosure results in denied justice, equity, or fairness based on shared sensitive patient data such as on sexual and reproductive health, mental health services, and substance  ... 
doi:10.2196/22269 pmid:34018968 pmcid:PMC8178732 fatcat:fxt4icfva5bpnnh34kwzipgnuu

Big Data in the Health Sector [chapter]

Sonja Zillner, Sabrina Neururer
2016 New Horizons for a Data-Driven Economy  
K-anonymity (El Emam and Dankar 2008) is a promising approach that envisions ensuring anonymity even in the big data context.  ...  Big health data applications need to focus even more strongly on data privacy and security. For instance, anonymization is known to be a popular approach to de-identify healthrelated personal data.  ... 
doi:10.1007/978-3-319-21569-3_10 fatcat:uhrwv4fdvffqjmw6xzioqswbae

COVID-19 Risk Minimization Decision Making Strategy Using Data-Driven Model

Akey Sungheetha
2021 Journal of Information Technology and Digital World  
The DPTTs and Data-Driven Epidemic Intelligence Strategies (DDEIS) are compared in this paper to identify the shortcomings and propose a novel solution to overcome them.  ...  The epidemiological model of SEIR (Susceptible–Exposed–Infectious–Recovered) provides preliminary data for the preferences of users in a DPTT.  ...  In order to avoid extreme lockdown measures and to reduce the impact of the pandemic on a global level, a data-driven strategy is adopted in this paper.  ... 
doi:10.36548/jitdw.2021.1.006 fatcat:r6oahvx2trhpvft6pxxnbauis4

Validation and Testing of Fast Healthcare Interoperability Resources Standards Compliance: Data Analysis

Jason Walonoski, Robert Scanlon, Conor Dowling, Mario Hyland, Richard Ettema, Steven Posnack
2018 JMIR Medical Informatics  
Traditionally, health data standards are complex and test-driven methods played important roles in achieving interoperability.  ...  Frequent and thorough testing has clear implications for health data interoperability. Additional data analysis reveals trends over time with respect to vendors, use cases, and FHIR versions.  ...  In one such situation, MITRE has previously demonstrated in the domain of clinical quality measurement that a test-driven approach can successfully establish a framework for interoperability using national  ... 
doi:10.2196/10870 pmid:30355549 pmcid:PMC6231749 fatcat:r7glk6wu7fgbnlbbonvt36itja

Data Collection in Multiple Sclerosis: The MSDS Approach

Tjalf Ziemssen, Raimar Kern, Isabel Voigt, Rocco Haase
2020 Frontiers in Neurology  
These aspects predestine electronic data processing for use in MS documentation.  ...  to patient-reported data become increasingly important for innovative patient management in MS.  ...  Anonymity and data protection are guaranteed in a complex procedure with encrypted transmission.  ... 
doi:10.3389/fneur.2020.00445 pmid:32612566 pmcid:PMC7308591 fatcat:lde4jpwia5bfzb6nubrh6qudn4

Data mining issues and opportunities for building nursing knowledge

Linda Goodwin, Michele VanDyne, Simon Lin, Steven Talbert
2003 Journal of Biomedical Informatics  
Following a brief overview of relevant data mining techniques, a preterm risk prediction case study illustrates the opportunities and describes typical data mining issues in the nontrivial task of building  ...  Health care information systems tend to capture data for nursing tasks, and have little basis in nursing knowledge.  ...  Third, using a preterm risk prediction case study, we describe typical data mining issues.  ... 
doi:10.1016/j.jbi.2003.09.020 pmid:14643734 fatcat:jd77spbxwbfe3ikkyvgoxxaeri

Big Data and Dementia: Charting the Route Ahead for Research, Ethics, and Policy

Marcello Ienca, Effy Vayena, Alessandro Blasimme
2018 Frontiers in Medicine  
In this contribution, we review the existing scientific literature on big data approaches to dementia, as well as commercially available mobile-based applications in this domain.  ...  Emerging trends in pervasive computing and medical informatics are creating the possibility for large-scale collection, sharing, aggregation and analysis of unprecedented volumes of data, a phenomenon  ...  Integrative approaches to dementias are ideal candidates to test an incipient approach driven by the use of big data in dementia research.  ... 
doi:10.3389/fmed.2018.00013 pmid:29468161 pmcid:PMC5808247 fatcat:3v74ls23d5c4jfuz43xtopfrj4

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

Teodoro Alamo, Daniel G. Reina, Martina Mammarella, Alberto Abella
2020 Electronics  
To facilitate the access to the main open-data portals and resources, we identify the most relevant institutions, on a global scale, providing Covid-19 information and/or auxiliary variables (demographics  ...  Open-data resources, along with data-driven methodologies, provide many opportunities to improve the response of the different administrations to the virus.  ...  In addition, we would like to thank other contributors, such as Nadir Bouchama Researcher at Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics9050827 fatcat:4w73yehmmjaffi77jxdvfyoexi

Big Data Usage [chapter]

Tilman Becker
2016 New Horizons for a Data-Driven Economy  
Sectors Case Studies for Big Data Usage In this section an overview of case studies that demonstrate the actual and potential value of big data usage is presented.  ...  Trade-Offs in Big Data Usage Technologies An in-depth case study analysis of a complete big data application was performed to determine the decisions involved in weighing the advantages and disadvantages  ... 
doi:10.1007/978-3-319-21569-3_8 fatcat:tdekwu5jibabxcy6m7a56emktq
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