Article
Cardiac & Cardiovascular Systems
Anne Catherine M. H. van der Lande, Roderick W. Treskes, Saskia L. M. A. Beeres, Martin J. Schalij
Summary: This study describes an intervention that integrates first, second, and third line care into a virtual care center using remote monitoring and video consultation for patients with multiple chronic conditions. The study will evaluate outcomes including number of nights admitted to the hospital, mortality rate, quality of life, and satisfaction with technology and care.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Computer Science, Information Systems
Mustufa Haider Abidi, Usama Umer, Syed Hammad Mian, Abdulrahman Al-Ahmari
Summary: Human life has become smarter in healthcare services with the utilization of big data, telecommunication technologies, and wearable sensors. The interconnection between patients, caregivers, and providers is enabled through the utilization of Information and Communication Technology (ICT) and software. The proposal presents a new healthcare monitoring system for tracking the activities of elderly people, utilizing the Hadoop MapReduce technique for parallel processing large-sized data. The developed Hybrid Dingo Coyote Optimization (HDCO) - Deep Ensemble Learning (DEL) system predicts physical activities with high accuracy, outperforming existing methods.
Article
Computer Science, Information Systems
Reguieg Hicham, Benallal Mohamed Anis
Summary: Process mining is a business process management technique used to extract value from process execution logs. This study proposes a distributed implementation based on the Spark framework for efficient scalable process discovery in big data scenarios. Experimental results demonstrate that the proposed approach achieves significant speed-up and scalability when dealing with large datasets and varying cluster sizes.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Review
Geochemistry & Geophysics
S. J. Arrowsmith, D. T. Trugman, J. MacCarthy, K. J. Bergen, D. Lumley, M. B. Magnani
Summary: Big Data Seismology, based on observations of inherently undersampled ground motion, is revolutionizing the field of seismology through new opportunities in earthquake processes understanding and resolving Earth structure. This review explores the development of new data-dense sensor systems, computing improvements, and new techniques and algorithms, and discusses the challenges and opportunities presented by Big Data Seismology. Recent scientific advances enabled by dense seismic data sets are also examined, highlighting the potential for significant progress in the field.
REVIEWS OF GEOPHYSICS
(2022)
Article
Computer Science, Information Systems
Danda B. Rawat, Ronald Doku, Moses Garuba
Summary: Knowledge is derived from having access to information, which has become a crucial issue in today's information age. The use of big data in cybersecurity to protect assets, as well as its high value as a target, highlights the importance of understanding the inner workings of systems producing data in the current technological landscape.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Health Care Sciences & Services
Yuhang Wang, Bernd Blobel, Bian Yang
Summary: This paper proposes a health data sharing infrastructure called Health Democratization (HD), aiming to empower a democratic health data sharing ecosystem. It addresses the challenges of the underlying infrastructure by promoting the core concept of data democratization, enabling seamless mobility of health data across trust boundaries. The introduction of a reverse onus mechanism to incentivize creditable data accessing behaviors shows promising prospects for enabling a democratic health data-sharing platform.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Business
Sabri Boubaker, Zhenya Liu, Yuhao Mu
Summary: This paper uses big data to perform descriptive and predictive analytics in the Chinese A-shares Market. The results show that the Instrumented Principal Component Analysis model performs well in both description and forecasting. The study also compares the performance of different sets of characteristics and concludes that sentiment analysis is dominant while fundamental analysis is also important. These findings can provide valuable insights for policymakers and assist investors in making effective investment decisions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Editorial Material
Energy & Fuels
Tracy H. Schloemer
Summary: The assessment of efficient and stable perovskite solar cells is challenging due to the vast potential parameter space. In this study, researchers use high-throughput screening to identify stable perovskites and propose a bilayer polymer contact that extends device stability to 1,450 hours under high-temperature conditions.
Review
Environmental Sciences
Keumseok Koh, Ayaz Hyder, Yogita Karale, Maged N. Kamel Boulos
Summary: This study conducted a systematic narrative review to understand the usage of big geospatial sensing data, ancillary data, and spatial data infrastructures in public health studies. The study found that geospatial big data has been inconsistently used in existing studies, with a focus on the public health field. The research also highlighted the importance of interdisciplinary collaboration to fully utilize geospatial big data in future public health studies.
Review
Biochemistry & Molecular Biology
Madeline Alizadeh, Natalia Sampaio Moura, Alyssa Schledwitz, Seema A. Patil, Jacques Ravel, Jean-Pierre Raufman
Summary: Studying individual data types in isolation is limited in providing comprehensive answers, but multi-omics approaches can generate and integrate multiple data types to offer a holistic understanding of biological and disease processes. Gastroenterology and hepatobiliary research benefit from these approaches due to the interconnectedness of the GI tract, brain, immune and endocrine systems, and GI microbiome. The use of big data in multi-omic, multi-site studies allows for better investigations into the connections between organ systems and more accurate evaluations of interventions.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Multidisciplinary Sciences
Joshua T. Vogelstein, Eric W. Bridgeford, Minh Tang, Da Zheng, Christopher Douville, Randal Burns, Mauro Maggioni
Summary: Researchers have introduced a method that combines class-conditional moment estimates into low-dimensional projection, aiming to achieve more accurate dimensionality reduction for high-dimensional biomedical data for subsequent classification. The method has been validated on datasets with varying numbers of features, demonstrating improved accuracy and computational efficiency.
NATURE COMMUNICATIONS
(2021)
Article
Health Care Sciences & Services
K. C. Santosh, Sourodip Ghosh
Summary: The paper analyzes medical imaging tools in the context of Covid-19, finding that dataset size and data augmentation are not suitable for Covid-19 screening.
JOURNAL OF MEDICAL SYSTEMS
(2021)
Article
Business
Maria Assunta Barchiesi, Andrea Fronzetti Colladon
Summary: The study proposed a new methodological approach combining text mining, social network, and big data analytics to assess stakeholders' attitudes towards company core values in Italy. The research identified three predominant core values orientations and three latent ones in the Italian scenario. The contribution of this study lies in extending research on text mining and online big data analytics applied in complex business contexts.
JOURNAL OF BUSINESS RESEARCH
(2021)
Review
Medical Laboratory Technology
Dan Yang, Zihan Su, Min Zhao
Summary: Although reference intervals are important in clinical diagnosis, there are significant differences in various factors. Traditional methods of establishing reference intervals have limitations, but the advent of big data offers a unique opportunity to establish specific reference intervals for clinical laboratories.
CLINICA CHIMICA ACTA
(2022)
Review
Urology & Nephrology
Navchetan Kaur, Sanchita Bhattacharya, Atul J. Butte
Summary: A wide range of data sources are available in nephrology, which can be used to obtain novel insights, facilitate personalized medicine, and improve patient care. Challenges exist in accessing, coordinating, and ensuring data quality, but efforts to make data freely accessible, increase awareness, and apply advanced algorithms will help promote the use of big data in nephrology.
NATURE REVIEWS NEPHROLOGY
(2021)
Article
Nursing
Denise Wilfling, Martin N. Dichter, Diana Trutschel, Sascha Koepke
Article
Medicine, General & Internal
Denise Wilfling, Nicole Warkentin, Sonja Laag, Katja Goetz
Summary: This study investigated the experiences and attitudes of geriatric patients towards a complex care- and case-management intervention called RubiN. The results showed that care provided by care- and case managers was perceived positively by geriatric patients, who experienced a sense of security and appreciated the continuity of care provided by competent CCMs. Trust between care provider and care recipient was highlighted as important in delivering professional care and support to geriatric patients.
PATIENT PREFERENCE AND ADHERENCE
(2021)
Article
Nursing
Denise Wilfling, Kristina Flaegel, Jost Steinhaeuser, Katrin Balzer
Summary: This study explores inter-professional care for people living with dementia and identifies the training needs of home care nurses and general practitioners involved in their care. The findings indicate challenges in collaboration and communication, as well as insufficient healthcare infrastructure.
