AIMC Topic: Big Data

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Quadruple Decision Making for Parkinson's Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine.

Journal of Parkinson's disease
Clinical decision making for Parkinson's disease patients is supported by a combination of three distinct information resources: best available scientific evidence, professional expertise, and the personal needs and preferences of patients. All three...

Scaling tree-based automated machine learning to biomedical big data with a feature set selector.

Bioinformatics (Oxford, England)
MOTIVATION: Automated machine learning (AutoML) systems are helpful data science assistants designed to scan data for novel features, select appropriate supervised learning models and optimize their parameters. For this purpose, Tree-based Pipeline O...

Imputation Strategy for Reliable Regional MRI Morphological Measurements.

Neuroinformatics
Regional morphological analysis represents a crucial step in most neuroimaging studies. Results from brain segmentation techniques are intrinsically prone to certain degrees of variability, mainly as results of suboptimal segmentation. To reduce this...

Artificial intelligence in the diagnosis of cardiovascular disease.

Revista da Associacao Medica Brasileira (1992)
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of ...

Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration.

Endocrinology and metabolism (Seoul, Korea)
Most people are now familiar with the concepts of big data, deep learning, machine learning, and artificial intelligence (AI) and have a vague expectation that AI using medical big data can be used to improve the quality of medical care. However, the...

Deep Learning on Big, Sparse, Behavioral Data.

Big data
The outstanding performance of deep learning (DL) for computer vision and natural language processing has fueled increased interest in applying these algorithms more broadly in both research and practice. This study investigates the application of DL...

Coding and classifying GP data: the POLAR project.

BMJ health & care informatics
BACKGROUND: Data, particularly 'big' data are increasingly being used for research in health. Using data from electronic medical records optimally requires coded data, but not all systems produce coded data.

[Urolithiasis research-big data and artificial intelligence : How we can use the new structures of the medical informatics initiative of the Federal Ministry of Education and Research].

Der Urologe. Ausg. A
BACKGROUND: The digital transformation of society has a tremendous impact on both medicine and healthcare. The generation and processing of continuously growing amounts of digital data can be used to facilitate new approaches in research, particularl...