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Electronic Health Records (EHRs) have become increasingly popular to support clinical decision-making and healthcare in recent decades. EHRs usually contain heterogeneous information, such as structural data in tabular form and unstructured…

Machine Learning · Computer Science 2024-03-15 Hejie Cui , Xinyu Fang , Ran Xu , Xuan Kan , Joyce C. Ho , Carl Yang

Healthcare organizations are in a continuous effort to improve health outcomes, reduce costs and enhance patient experience of care. Data is essential to measure and help achieving these improvements in healthcare delivery. Consequently, a…

Computation and Language · Computer Science 2018-08-13 Steffen Pauws , Albert Gatt , Emiel Krahmer , Ehud Reiter

Wearable devices that measure and record physiological signals are now becoming widely available to the general public with ever-increasing affordability and signal quality. The data from these devices introduce serious ethical challenges…

Computers and Society · Computer Science 2024-05-27 Keith Davis , Tuukka Ruotsalo

Healthcare AI holds the potential to increase patient safety, augment efficiency and improve patient outcomes, yet research is often limited by data access, cohort curation, and tooling for analysis. Collection and translation of electronic…

Software Engineering · Computer Science 2021-12-14 Raphael Y. Cohen , Vesela P. Kovacheva

The RECONNECT project addresses the fragmentation of Ireland's public healthcare systems, aiming to enhance service planning and delivery for chronic disease management. By integrating complex systems within the Health Service Executive…

Databases · Computer Science 2024-10-21 Vuong M. Ngo , Geetika Sood , Patricia Kearney , Fionnuala Donohue , Dongyun Nie , Mark Roantree

Dynamic predictive modelling using electronic health record (EHR) data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of the underlying data, which is, in…

In a world where data is the new currency, wearable health devices offer unprecedented insights into daily life, continuously monitoring vital signs and metrics. However, this convenience raises privacy concerns, as these devices collect…

Cryptography and Security · Computer Science 2025-12-04 Karthik Barma

Record linkage means linking data from multiple sources. This approach enables the answering of scientific questions that cannot be addressed using single data sources due to limited variables. The potential of linked data for health…

The continuously increasing cost of the US healthcare system has received significant attention. Central to the ideas aimed at curbing this trend is the use of technology, in the form of the mandate to implement electronic health records…

Information Retrieval · Computer Science 2017-03-24 Pranjul Yadav , Michael Steinbach , Vipin Kumar , Gyorgy Simon

Understanding the earth's climate system and how it might be changing is a preeminent scientific challenge. Global climate models are used to simulate past, present, and future climates, and experiments are executed continuously on an array…

Personal health record (PHR) management is under new scrutiny as private companies move into the market and government agencies actively address perceived health care distribution inequalities and inefficiencies. Current systems are…

Computers and Society · Computer Science 2012-06-26 Christopher C. Lamb , Gregory L. Heileman , Pramod A. Jamkhedkar

With the growing use of new technologies, healthcare is nowadays undergoing significant changes. Information-based medicine has to exploit medical decision-support systems and requires the analysis of various, heterogeneous data, such as…

Databases · Computer Science 2008-09-17 Jérôme Darmont , Emerson Olivier

Clinicians are interested in better understanding complex diseases, such as cancer or rare diseases, so they need to produce and exchange data to mutualize sources and join forces. To do so and ensure privacy, a natural way consists in…

Databases · Computer Science 2025-09-29 Nelly Barret , Anna Bernasconi , Boris Bikbov , Pietro Pinoli

Motivation: The importance of clinical data in understanding the pathophysiology of complex disorders has prompted the launch of multiple initiatives designed to generate patient-level data from various modalities. While these studies can…

The rise of digital platforms has led to an increasing reliance on technology-driven, home-based healthcare solutions, enabling individuals to monitor their health and share information with healthcare professionals as needed. However,…

Logic in Computer Science · Computer Science 2024-12-13 Subhashis Das , Debashis Naskar , Sara Rodriguez Gonzalez

As healthcare systems worldwide continue to grapple with the challenges of interoperability, data security, and accessibility, integrating emerging technologies becomes imperative. This paper investigates the implementation of blockchain…

Cryptography and Security · Computer Science 2024-07-24 Abayomi Agbeyangi , Olukayode Oki , Aphelele Mgidi

Human-machine interaction has been around for several decades now, with new applications emerging every day. One of the major goals that remain to be achieved is designing an interaction similar to how a human interacts with another human.…

Human-Computer Interaction · Computer Science 2022-12-27 Tauheed Khan Mohd , Nicole Nguyen , Ahmad Y Javaid

Digital twin technology has is anticipated to transform healthcare, enabling personalized medicines and support, earlier diagnoses, simulated treatment outcomes, and optimized surgical plans. Digital twins are readily gaining traction in…

Machine Learning · Computer Science 2023-07-12 Logan Nye

Digital pathology is not only one of the most promising fields of diagnostic medicine, but at the same time a hot topic for fundamental research. Digital pathology is not just the transfer of histopathological slides into digital…

Artificial Intelligence · Computer Science 2017-12-20 Andreas Holzinger , Bernd Malle , Peter Kieseberg , Peter M. Roth , Heimo Müller , Robert Reihs , Kurt Zatloukal

Electronic health records (EHR) offer unprecedented opportunities for in-depth clinical phenotyping and prediction of clinical outcomes. Combining multiple data sources is crucial to generate a complete picture of disease prevalence,…

Computation and Language · Computer Science 2022-12-01 Anna Munoz-Farre , Harry Rose , Sera Aylin Cakiroglu
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