AIMC Topic: Big Data

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Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.

Advances in nutrition (Bethesda, Md.) Jun 1, 2021
The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex exposure, and residual confounding. The objective of this perspective article is to highlight how developments in big data and machine learning can h...
Machine Learning Diet Big Data Humans
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Revolutionizing enzyme engineering through artificial intelligence and machine learning.

Emerging topics in life sciences May 14, 2021
The combinatorial space of an enzyme sequence has astronomical possibilities and exploring it with contemporary experimental techniques is arduous and often ineffective. Multi-target objectives such as concomitantly achieving improved selectivity, so...
Machine Learning Big Data Artificial Intelligence Protein Engineering
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Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review.

Journal of gastroenterology and hepatology Apr 1, 2021
For a long time, gut bacteria have been recognized for their important roles in the occurrence and progression of gastrointestinal diseases like colorectal cancer, and the ever-increasing amounts of microbiome data combined with other high-quality cl...
Information Storage and Retrieval Gastrointestinal Diseases Artificial Intelligence Gastrointestinal Microbiome Big Data Datasets as Topic
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Artificial Intelligence-related Literature in Transplantation: A Practical Guide.

Transplantation Apr 1, 2021
Data Mining Transplantation Databases, Factual Biomedical Research Big Data Models, Theoretical Humans Artificial Intelligence
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A Primer on Machine Learning.

Transplantation Apr 1, 2021
Humans Machine Learning Big Data Data Mining Databases, Factual Biomedical Research Transplantation
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The Future Role of Machine Learning in Clinical Transplantation.

Transplantation Apr 1, 2021
The use of artificial intelligence and machine learning (ML) has revolutionized our daily lives and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors: increasing access to massive datasets, exponential increa...
Transplantation Biomedical Research Machine Learning Deep Learning Humans Big Data Databases, Factual Data Mining
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A digital health profile & maturity assessment toolkit: cocreation and testing in the Pacific Islands.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
INTRODUCTION: Countries need to determine their level of digital health capability maturity to assess and mobilize their knowledge, skills, and resources to systematically develop, implement, evaluate, scale up and maintain large-scale implementation...
Pacific Islands Humans Telemedicine Delivery of Health Care Artificial Intelligence Medical Informatics Applications Big Data
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Application of artificial intelligence in gastroenterology: Potential role in clinical practice.

Journal of gastroenterology and hepatology Feb 1, 2021
Artificial intelligence (AI) based on deep learning boosted medical research in the past years and is expected to enormously change the style of health care in many aspects in the foreseeable future. Nowadays, there are exploding volumes of healthcar...
Workflow Delivery of Health Care Evidence-Based Practice Deep Learning Precision Medicine Humans Electronic Health Records Big Data Forecasting Gastroenterology
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PV[O]H: Noninvasive Enabling Technology, New Physiological Monitoring, and Big Data.

Military medicine Jan 25, 2021
INTRODUCTION: Measures of normal and abnormal physiology are interrelated and vary continuously. Our ability to detect and predict changes in physiology in real time has been limited in part by the requirement for blood sampling and the lack of a con...
Monitoring, Physiologic Humans Technology Bayes Theorem Artificial Intelligence Big Data
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Clinical Databases for Breast Cancer Research.

Advances in experimental medicine and biology Jan 1, 2021
Clinical database is a collection of clinical data related to patients, which can be used for analysis and research. Clinical data can be classified into several categories: patient-related, tumor-related, diagnostics-related, treatment-related, outc...
Big Data Databases, Factual Humans Breast Artificial Intelligence Breast Neoplasms
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