Abstract Data Science In Healthcare
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The role of data science in healthcare advancements: applications, …
(3 days ago) WEBIntroduction. The evolution in the digital era has led to the confluence of healthcare and technology resulting in the emergence of newer data-related applications [].Due to the voluminous amounts of clinical data generated from the health care sector …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308575/
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The role of data science in healthcare advancements: applications
(Just Now) WEBData science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data …
https://link.springer.com/article/10.1007/s11845-021-02730-z
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Data science in healthcare: techniques, challenges and
(8 days ago) WEBData Science techniques have been applied to health-care data generated every day to gain valuable insights that can lead to improvements in patient outcomes and reduction …
https://link.springer.com/content/pdf/10.1007/s12553-024-00861-8.pdf
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(PDF) Data Science in Healthcare - ResearchGate
(7 days ago) WEBAbstract. Data science is an interdisciplinary field that applies numerous techniques, such as machine learning (ML), neural networks (NN) and artificial …
https://www.researchgate.net/publication/360642398_Data_Science_in_Healthcare
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The role of data science in healthcare advancements: applications
(1 days ago) WEBData science provides aid to process, manage, analyze, and assimilate the large quantities of fragmented, structured, and unstructured data created by healthcare …
https://pubmed.ncbi.nlm.nih.gov/34398394/
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Data science in healthcare: techniques, challenges and
(7 days ago) WEBData science in healthcare: techniques, challenges and opportunities. April 2024. Health and Technology. DOI: 10.1007/s12553-024-00861-8. Authors: Pushpa …
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The role of data science in healthcare advancements: applications
(7 days ago) WEBData science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data …
https://www.scienceopen.com/document?vid=7bce29fd-76b7-41d1-9108-d8ba7f23c9a0
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Data science in healthcare: Benefits, challenges and opportunities
(1 days ago) WEBIn Data Science for Healthcare: Methodologies and Applications (pp. 3-38). Springer. abstract = "The advent of digital medical data has brought an exponential increase in …
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An Overview of Healthcare Data Analytics With - IEEE Xplore
(5 days ago) WEBAbstract: In the era of big data, standard analysis tools may be inadequate for making inference and there is a growing need for more efficient and innovative ways …
https://ieeexplore.ieee.org/document/9512470/
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(PDF) Data Science in Healthcare - ResearchGate
(7 days ago) WEBData Science is important in monitoring patients' wellbeing and alerting necessary steps to be taken to avoid diseas es. The s ymptoms of a disease can be …
https://www.researchgate.net/publication/353553431_Data_Science_in_Healthcare
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Querying Healthcare Data in Knowledge-Based Systems
(Just Now) WEBThe impact of electronic health records on healthcare quality: a systematic review and meta-analysis Eur. J. Public Health 2016 26 1 60 64 10.1093/eurpub/ckv122 …
https://dl.acm.org/doi/10.1007/978-3-031-58502-9_4
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IJERPH Special Issue : Data Science in Healthcare - MDPI
(4 days ago) WEBDear Colleagues, Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to …
https://www.mdpi.com/journal/ijerph/special_issues/DSH
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A Comprehensive Analysis of Healthcare Big Data - IEEE Xplore
(4 days ago) WEBAbstract: Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and …
https://ieeexplore.ieee.org/document/9096305
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Impact of mHealth interventions on maternal, newborn, and child …
(3 days ago) WEBBackground Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges …
https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-024-03417-9
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Data Science in Healthcare: Benefits, Challenges and Opportunities
(1 days ago) WEBAbstract. The advent of digital medical data has brought an exponential increase in information available for each patient, allowing for novel knowledge …
https://link.springer.com/chapter/10.1007/978-3-030-05249-2_1
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How power shapes behavior: Evidence from physicians Science
(1 days ago) WEBWe used ED data from the US MHS, which runs one of the largest health care systems in the United States, primarily for active-duty military and their dependents (SM …
https://www.science.org/doi/10.1126/science.adl3835
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Global antimicrobial resistance and antibiotic use in
(7 days ago) WEBGlobal antimicrobial resistance and antibiotic use in COVID-19 patients within health facilities: a systematic review and meta-analysis of aggregated participant data …
https://www.sciencedirect.com/science/article/pii/S0163445324001178
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The Benefits of AI in Healthcare IBM
(7 days ago) WEBBetter machine learning (ML) algorithms, more access to data, cheaper hardware, and the availability of 5G have contributed to the increasing application of AI …
https://www.ibm.com/think/insights/ai-healthcare-benefits
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New medical technologies are here. But when will they reach your …
(3 days ago) WEBAt the same time, insights are emerging from the analysis of multiple sources of health data, from clinical trials to patient records and social and environmental …
https://www.ft.com/content/87d1225b-1581-4e34-a570-375fc9f54a45
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Self-Efficacy Effects on Symptom Experiences in Daily Life and …
(8 days ago) WEBSelf-efficacy is a key construct in behavioral science with significant impact on mental health, including psychopathology symptoms and treatment outcomes (Bandura, …
https://journals.sagepub.com/doi/10.1177/21677026231205262
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Data Analytics in Healthcare: A Tertiary Study - PMC
(3 days ago) WEBIntroduction. The purpose of data analytics in healthcare is to find new insights in data, at least partially automate tasks such as diagnosing, and to facilitate …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734338/
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What are the strengths and limitations to utilising creative …
(1 days ago) WEBThere is increasing interest in using patient and public involvement (PPI) in research to improve the quality of healthcare. Ordinarily, traditional methods have been …
https://researchinvolvement.biomedcentral.com/articles/10.1186/s40900-024-00580-4
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Tracing the missteps of stepped care: Improving the - NASA/ADS
(2 days ago) WEBAbstract. Stepped care is an organizational model of healthcare service provision that organizes interventions into a hierarchy from least-to-most intensive, intrusive, and …
https://ui.adsabs.harvard.edu/abs/2022JCBS...23..109L/abstract
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Data Science in Healthcare: Implications for Early Career …
(1 days ago) WEBData Science in Healthcare: Implications for Early Career Investigators. Circ Cardiovasc Qual Outcomes. 2016 Nov;9 (6):683-687. doi: 10.1161/CIRCOUTCOMES.116.003081. …
https://pubmed.ncbi.nlm.nih.gov/28263943/
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2024 D&I - Call for Abstracts AcademyHealth
(3 days ago) WEBAcademyHealth and the National Institutes of Health are once again convening the growing D&I science community for the 17th Annual Conference on the …
https://academyhealth.org/page/2024-di-call-abstracts
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Community Initiated Care: A blue-print for the practical realization …
(2 days ago) WEBThere is a vast unmet need for mental health care and support in the United States and globally. Although expanding specialty services is needed, this is neither sufficient nor …
https://ui.adsabs.harvard.edu/abs/2023JCBS...27...54K/abstract
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Evaluation of the use of a Renal Health application by kidney
(5 days ago) WEBObjective: to evaluate the use of a renal health application by kidney transplant recipients. Method: a retrospective, observational study with a sample …
https://psycnet.apa.org/record/2024-24529-001
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The role of data science in healthcare advancements: …
(8 days ago) WEBData science provides aid to process, manage, analyze, and assimilate the large quantities of fragmented, structured, and unstructured data cre-ated by healthcare systems. This …
https://link.springer.com/content/pdf/10.1007/s11845-021-02730-z.pdf
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Socio-cultural beliefs and perceptions influencing diagnosis and
(7 days ago) WEBLiterature search. Our search yielded a total of 176 records from the electronic databases. After duplicates were automatically removed through the EndNote (n = 76), …
https://bmcwomenshealth.biomedcentral.com/articles/10.1186/s12905-024-03106-y
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A systematic analysis of the contribution of genetics to …
(1 days ago) WEBBackground Multimorbidity, the presence of two or more conditions in one person, is increasingly prevalent. Yet shared biological mechanisms of specific pairs of …
https://www.medrxiv.org/content/10.1101/2024.05.13.24307009v1
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Implementation of Obesity Science Into Clinical Practice
(3 days ago) WEBThis Scientific Statement describes effective or promising strategies to enhance clinical application of obesity-based research, identify key gaps in the …
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The use of Big Data Analytics in healthcare - PMC - National …
(3 days ago) WEBThe use of Big Data Analytics can literally revolutionize the way healthcare is practiced for better health and disease reduction. The analysis of the latest data reveals …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733917/
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Shared genetic features between lymphoma pathogenesis and …
(1 days ago) WEBIn the last decade, genetic analysis has aided lymphoma classification, alongside traditional phenotypic subdivision. Lymphomas exhibit sex differences in …
https://www.medrxiv.org/content/10.1101/2024.05.17.24307324v1
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