AIMC Topic: Big Data
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Efficient learning from big data for cancer risk modeling: A case study with melanoma.
Computers in biology and medicine
Apr 30, 2019
BACKGROUND: Building cancer risk models from real-world data requires overcoming challenges in data preprocessing, efficient representation, and computational performance. We present a case study of a cloud-based approach to learning from de-identifi...
Knowledge development, technology and questions of nursing ethics.
Nursing ethics
Apr 28, 2019
This article explores emerging ethical questions that result from knowledge development in a complex, technological age. Nursing practice is at a critical ideological and ethical precipice where decision-making is enhanced and burdened by new ways of...
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era.
Methods (San Diego, Calif.)
Apr 22, 2019
Deep learning, which is especially formidable in handling big data, has achieved great success in various fields, including bioinformatics. With the advances of the big data era in biology, it is foreseeable that deep learning will become increasingl...
Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation.
Clinical biochemistry
Apr 22, 2019
Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their translation into laboratory medicine. Our review article presents an overview of the data science domain while discussing the reasons for its emergence. W...
Predictive Estimates of Risks Associated with Type 2 Diabetes Mellitus on the Basis of Biochemical Biomarkers and Derived Time-Dependent Parameters.
Journal of computational biology : a journal of computational molecular cell biology
Apr 17, 2019
Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder.
PLoS computational biology
Apr 11, 2019
Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause of neurodevelopmental disability. Whole transcriptome sequencing (RNA-Seq) offer insights into mechanisms underlying FASD, but gene-level analysis pro...
[Can Big Data change our practices?].
Journal francais d'ophtalmologie
Apr 9, 2019
The European Medicines Agency has defined Big Data by the "3 V's": Volume, Velocity and Variety. These large databases allow access to real life data on patient care. They are particularly suited for studies of adverse events and pharmacoepidemiology...
Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.
Critical care clinics
Apr 6, 2019
This article examines the history of the telemedicine intensive care unit (tele-ICU), the current state of clinical decision support systems (CDSS) in the tele-ICU, applications of machine learning (ML) algorithms to critical care, and opportunities ...
LSTM Model for Prediction of Heart Failure in Big Data.
Journal of medical systems
Mar 19, 2019
The combination of big data and deep learning is a world-shattering technology that can make a great impact on any industry if used in a proper way. With the availability of large volume of health care datasets and progressions in deep learning techn...
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