AIMC Topic: Data Science
Clear Filters Showing 71 to 80 of 132 articles
'AI gone mental': engagement and ethics in data-driven technology for mental health.
Journal of mental health (Abingdon, England)
Jan 30, 2020
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...
Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap.
Clinical pharmacology and therapeutics
Jan 22, 2020
Despite the application of advanced statistical and pharmacometric approaches to pediatric trial data, a large pediatric evidence gap still remains. Here, we discuss how to collect more data from children by using real-world data from electronic heal...
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics.
Nature communications
Jan 9, 2020
Data-independent acquisition (DIA) is an emerging technology for quantitative proteomic analysis of large cohorts of samples. However, sample-specific spectral libraries built by data-dependent acquisition (DDA) experiments are required prior to DIA ...
Supervised and unsupervised algorithms for bioinformatics and data science.
Progress in biophysics and molecular biology
Dec 6, 2019
Bioinformatics refers to an ever evolving huge field of research based on millions of algorithms, designated to several data banks. Such algorithms are either supervised or unsupervised. In this article, a detailed overview of the supervised and unsu...
Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.
Bipolar disorders
Sep 18, 2019
OBJECTIVES: The International Society for Bipolar Disorders Big Data Task Force assembled leading researchers in the field of bipolar disorder (BD), machine learning, and big data with extensive experience to evaluate the rationale of machine learnin...
Data science in modern evidence-based medicine.
Journal of the Royal Society of Medicine
Sep 17, 2019
Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets.
Neural networks : the official journal of the International Neural Network Society
Aug 1, 2019
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network. Although of low complexity the resulting network achieves a high level of accuracy in iris r...
Artificial intelligence in dermato-oncology: a joint clinical and data science perspective.
International journal of dermatology
May 31, 2019
Uncovering the structure of self-regulation through data-driven ontology discovery.
Nature communications
May 24, 2019
Psychological sciences have identified a wealth of cognitive processes and behavioral phenomena, yet struggle to produce cumulative knowledge. Progress is hamstrung by siloed scientific traditions and a focus on explanation over prediction, two issue...
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