AIMC Topic: Big Data

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[Potential for Big Data Analysis Using AI in the Field of Clinical Pharmacy].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2021
Industrial reforms utilizing artificial intelligence (AI) have advanced remarkably in recent years. The application of AI to big data analysis in the medical information field has also been advancing and is expected to be used to find drug adverse ef...
Pharmacy Service, Hospital Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Artificial Intelligence Drug Repositioning Data Analysis Drug Interactions Humans Big Data
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[THE IMPACT OF ARTIFICIAL INTELLIGENCE AND BIG DATA ON HEALTHCARE].

Harefuah Jan 1, 2021
The fourth industrial revolution has led to a paradigm shift in the world of data; this paper reviews the implications on the medical and health services. These changes include: -The transition to big data: New layers of information such as longitudi...
Artificial Intelligence Delivery of Health Care Big Data Humans
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Rethinking Patient Consent in the Era of Artificial Intelligence and Big Data.

Journal of the American College of Radiology : JACR Jan 1, 2021
Informed Consent Artificial Intelligence Big Data Humans
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Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery.

Current drug targets Jan 1, 2021
Artificial Intelligence revolutionizes the drug development process that can quickly identify potential biologically active compounds from millions of candidate within a short period. The present review is an overview based on some applications of Ma...
Humans Precision Medicine Drug Discovery Big Data Artificial Intelligence Machine Learning Pharmaceutical Preparations Ligands
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Applied natural language processing in mental health big data.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Jan 1, 2021
Big Data Natural Language Processing Electronic Health Records Mental Health
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Big Data Analytics + Virtual Clinical Semantic Network (vCSN): An Approach to Addressing the Increasing Clinical Nuances and Organ Involvement of COVID-19.

ASAIO journal (American Society for Artificial Internal Organs : 1992) Jan 1, 2021
The coronavirus disease 2019 (COVID-19) pandemic has revealed deep gaps in our understanding of the clinical nuances of this extremely infectious viral pathogen. In order for public health, care delivery systems, clinicians, and other stakeholders to...
Big Data Data Science COVID-19 Semantics Symptom Assessment Humans Artificial Intelligence Models, Theoretical Reproducibility of Results Semantic Web Machine Learning Medical Informatics
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Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.

Cardiovascular research Nov 1, 2020
Rapid technological advances in non-invasive imaging, coupled with the availability of large data sets and the expansion of computational models and power, have revolutionized the role of imaging in medicine. Non-invasive imaging is the pillar of mod...
Tomography, X-Ray Computed Clinical Decision-Making Cardiovascular Diseases Diagnosis, Computer-Assisted Reproducibility of Results Phenotype Prognosis Humans Radiographic Image Interpretation, Computer-Assisted Machine Learning Big Data Predictive Value of Tests
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[Artificial intelligence provides promotion of big data in medical work and contribution to people's health as soon as possible: real-time warning of critical illness is the pioneer of artificial intelligence in clinical medicine].

Zhonghua wei zhong bing ji jiu yi xue Oct 1, 2020
Through the big data intelligent algorithm and application of artificial intelligence in critically ill patients, the value of the combination of clinical real-time warning and artificial intelligence in critical care medicine was explored. Artificia...
Critical Care Critical Illness Humans Big Data Artificial Intelligence
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[Applying Big Data in Smart Healthcare].

Hu li za zhi The journal of nursing Oct 1, 2020
People have traditionally associated being 'not ill' with being 'healthy'. This concept has changed due to the improvement of Taiwan's population structure, advances in medical care, and better education. The word 'health' is defined by the World Hea...
Biomedical Technology Big Data Taiwan Artificial Intelligence Humans Delivery of Health Care
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Big Data Approaches in Heart Failure Research.

Current heart failure reports Oct 1, 2020
PURPOSE OF REVIEW: The goal of this review is to summarize the state of big data analyses in the study of heart failure (HF). We discuss the use of big data in the HF space, focusing on "omics" and clinical data. We address some limitations of this d...
Humans Biomedical Research Big Data Machine Learning Heart Failure Prognosis
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