AIMC Topic: Big Data

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Advanced Data Analytics for Clinical Research Part I: What are the Tools?

Innovations (Philadelphia, Pa.) Feb 28, 2020
The concept of Big Data is changing the way that clinical research can be performed. Cardiothoracic surgeons need to understand the dynamic digital transformation taking place in the healthcare industry. In the last decade, technological advances and...
Big Data Data Science Natural Language Processing Humans Surgeons Health Care Sector Thoracic Surgical Procedures Clinical Protocols Data Mining Digital Technology Internet of Things
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Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance.

Bulletin of the World Health Organization Feb 25, 2020
Technological advances in big data (large amounts of highly varied data from many different sources that may be processed rapidly), data sciences and artificial intelligence can improve health-system functions and promote personalized care and public...
Data Science Insurance, Health Trust Big Data Artificial Intelligence
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Learning from Artificial Intelligence and Big Data in Health Care.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Feb 14, 2020
Artificial Intelligence Delivery of Health Care Clinical Decision-Making Big Data Decision Support Systems, Clinical Humans
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Machine learning and ligand binding predictions: A review of data, methods, and obstacles.

Biochimica et biophysica acta. General subjects Feb 10, 2020
Computational predictions of ligand binding is a difficult problem, with more accurate methods being extremely computationally expensive. The use of machine learning for drug binding predictions could possibly leverage the use of biomedical big data ...
Humans Machine Learning Protein Binding Computational Biology Algorithms Ligands Drug Discovery Big Data
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A machine learning approach for handling big data produced by high resolution mass spectrometry after data independent acquisition of small molecules - Proof of concept study using an artificial neural network for sample classification.

Drug testing and analysis Feb 6, 2020
Liquid chromatography coupled to high-resolution mass spectrometry (HRMS) enables data independent acquisition (DIA) and untargeted screening. However, to avoid the handling of the resulting large dataset, most laboratories in that field still use ta...
Zolpidem Small Molecule Libraries Cocaine Big Data Chromatography, Liquid Mass Spectrometry Machine Learning Humans Substance Abuse Detection Reproducibility of Results Neural Networks, Computer Proof of Concept Study Sensitivity and Specificity
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Generalized Pharmacometric Modeling, a Novel Paradigm for Integrating Machine Learning Algorithms: A Case Study of Metabolomic Biomarkers.

Clinical pharmacology and therapeutics Jan 28, 2020
There is an unmet need for identifying innovative machine learning (ML) strategies to improve drug treatment regimens and therapeutic outcomes. We investigate Generalized Pharmacometric Modeling (GPM), a novel paradigm that integrates ML algorithms w...
Algorithms Biomarkers Big Data Nutrition Surveys Metabolomics Cholesterol Humans Models, Biological Machine Learning Bayes Theorem Pharmaceutical Preparations
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Big Data Analytics and Sensor-Enhanced Activity Management to Improve Effectiveness and Efficiency of Outpatient Medical Rehabilitation.

International journal of environmental research and public health Jan 24, 2020
Numerous societal trends are compelling a transition from inpatient to outpatient venues of care for medical rehabilitation. While there are advantages to outpatient rehabilitation (e.g., lower cost, more relevant to home and community function), the...
Big Data Humans Aged Outpatients Data Science Artificial Intelligence Rehabilitation Exercise Bayes Theorem Reproducibility of Results
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Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size.

Scientific reports Jan 21, 2020
Deep neural networks have gained immense popularity in the Big Data problem; however, the availability of training samples can be relatively limited in specific application domains, particularly medical imaging, and consequently leading to overfittin...
Neural Networks, Computer Machine Learning Humans Datasets as Topic Deep Learning Big Data Sample Size
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Recognition of big data mixed Raman spectra based on deep learning with smartphone as Raman analyzer.

Electrophoresis Jan 13, 2020
Raman spectral detection has emerged as a powerful analytical technique due to the advantages of fast acquisition, non-invasion, and low cost. The on-site application is highly dependent on Raman automatic analysis algorithm. However, current Raman a...
Deep Learning Algorithms Spectrum Analysis, Raman Big Data Cloud Computing Smartphone
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Precise hepatectomy in the intelligent digital era.

International journal of biological sciences Jan 1, 2020
In the past 20 years, the concept of surgery has undergone profound changes. Surgical practice has shifted from emphasizing the complete elimination of lesions to achieving optimal rehabilitation in patients. Collaborative optimization of surgery con...
Liver Hepatectomy Precision Medicine Humans Animals Artificial Intelligence Big Data
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