Articles with "healthcare data" as a keyword



Identification of pregnancies in healthcare data: A changing landscape

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Published in 2022 at "Pharmacoepidemiology and Drug Safety"

DOI: 10.1002/pds.5526

Abstract: Key Points • Traditionally, in studies using healthcare utilization databases, investigators identify pregnancies starting from their outcome and calculate the first day of the last menstrual period (LMP) by subtracting the estimated gestational age from… read more here.

Keywords: changing landscape; healthcare data; identification; data changing ... See more keywords

Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data.

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Published in 2025 at "Statistics in medicine"

DOI: 10.1002/sim.70335

Abstract: Despite advancements in healthcare data management, missing data in electronic health records (EHR) and patient‐reported outcomes remain a persistent challenge, limiting their usability in healthcare analytics. Conventional imputation methods often struggle to capture complex nonlinear… read more here.

Keywords: missing data; informed shared; shared structure; healthcare data ... See more keywords

ECC Based Secure Sharing of Healthcare Data in the Health Cloud Environment

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Published in 2019 at "Wireless Personal Communications"

DOI: 10.1007/s11277-019-06450-7

Abstract: In today’s world, Cloud computing based health cloud is an effective platform for enhancing e-health productivity, i.e., healthcare professionals can provide medical service by accessing health information on any device in any location at any… read more here.

Keywords: health cloud; time; health; healthcare data ... See more keywords

Visual topic models for healthcare data clustering

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Published in 2021 at "Evolutionary Intelligence"

DOI: 10.1007/s12065-019-00300-y

Abstract: Social media is a great source to search health-related topics for envisages solutions towards healthcare. Topic models originated from Natural Language Processing that is receiving much attention in healthcare areas because of interpretability and its… read more here.

Keywords: visual topic; topic models; healthcare data; data clustering ... See more keywords

Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching

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Published in 2019 at "International journal of medical informatics"

DOI: 10.1016/j.ijmedinf.2019.104002

Abstract: BACKGROUND AND OBJECTIVE Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and human interaction… read more here.

Keywords: hl7 fhir; ontology; healthcare data; developed mechanism ... See more keywords

The relationship between antihypertensive medications and mood disorders: analysis of linked healthcare data for 1.8 million patients

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Published in 2020 at "Psychological Medicine"

DOI: 10.1017/s0033291719004094

Abstract: Abstract Background Recent work suggests that antihypertensive medications may be useful as repurposed treatments for mood disorders. Using large-scale linked healthcare data we investigated whether certain classes of antihypertensive, such as angiotensin antagonists (AAs) and… read more here.

Keywords: mood disorders; healthcare data; linked healthcare; mood ... See more keywords

An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-04083-4

Abstract: With the rapid growth of healthcare data and the need for secure, interpretable, and decentralized machine learning systems, Federated Learning (FL) has emerged as a promising solution. However, FL models often face challenges regarding privacy… read more here.

Keywords: federated blockchain; privacy preserving; privacy; healthcare data ... See more keywords

Secure healthcare data management using multimodal image fusion and dual watermarking

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-93544-x

Abstract: This study introduces a robust framework to address critical security requirements in digital healthcare systems, ensuring the confidentiality and integrity of medical data. It employs Laplacian redecomposition to fuse MRI and SPECT/PET images, creating a… read more here.

Keywords: data management; image; secure; healthcare data ... See more keywords
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Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management

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Published in 2019 at "Yearbook of Medical Informatics"

DOI: 10.1055/s-0039-1677913

Abstract: Summary Objective: This paper explores the implications of artificial intelligence (AI) on the management of healthcare data and information and how AI technologies will affect the responsibilities and work of health information management (HIM) professionals.… read more here.

Keywords: information; management; healthcare data; data information ... See more keywords

Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data.

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Published in 2023 at "Journal of the American Medical Informatics Association : JAMIA"

DOI: 10.1093/jamia/ocad085

Abstract: OBJECTIVES As the real-world electronic health record (EHR) data continue to grow exponentially, novel methodologies involving artificial intelligence (AI) are becoming increasingly applied to enable efficient data-driven learning and, ultimately, to advance healthcare. Our objective… read more here.

Keywords: research; healthcare data; artificial intelligence; research approaches ... See more keywords

Secure Sharing Architecture of Personal Healthcare Data Using Private Permissioned Blockchain for Telemedicine

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Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3436075

Abstract: Blockchain technology has fascinated and significantly sparked research activities and industries due to its transparency in transactions and data sharing. The striking proliferation of blockchain technology is used to confront the challenges associated with trust,… read more here.

Keywords: technology; secure sharing; healthcare; secure ... See more keywords