AIMC Topic: Big Data
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Deep learning for small and big data in psychiatry.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Jul 15, 2020
Psychiatry today must gain a better understanding of the common and distinct pathophysiological mechanisms underlying psychiatric disorders in order to deliver more effective, person-tailored treatments. To this end, it appears that the analysis of '...
[Artificial intelligence and its applications in medicine I: introductory background to AI and robotics].
Atencion primaria
Jul 11, 2020
Technology and medicine follow a parallel path during the last decades. Technological advances are changing the concept of health and health needs are influencing the development of technology. Artificial intelligence (AI) is made up of a series of s...
MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning.
Big data
Jul 10, 2020
Choosing the right parameter configurations for recurring jobs running on big data analytics platforms is difficult because there can be hundreds of possible parameter configurations to pick from. Even the selection of parameter configurations is bas...
Gut microbiome, big data and machine learning to promote precision medicine for cancer.
Nature reviews. Gastroenterology & hepatology
Jul 9, 2020
The gut microbiome has been implicated in cancer in several ways, as specific microbial signatures are known to promote cancer development and influence safety, tolerability and efficacy of therapies. The 'omics' technologies used for microbiome anal...
Machine learning for precision dermatology: Advances, opportunities, and outlook.
Journal of the American Academy of Dermatology
Jul 6, 2020
Digital microbiology.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Jun 27, 2020
BACKGROUND: Digitalization and artificial intelligence have an important impact on the way microbiology laboratories will work in the near future. Opportunities and challenges lie ahead to digitalize the microbiological workflows. Making efficient us...
Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists.
Journal of medical Internet research
Jun 22, 2020
Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are no...
[Artificial intelligence and its applications in medicine II: Current importance and practical applications].
Atencion primaria
Jun 19, 2020
Technology and medicine follow a parallel path during the last decades. Technological advances are changing the concept of health and health needs are influencing the development of technology. Artificial intelligence (AI) is made up of a series of s...
Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.
PloS one
Jun 17, 2020
To effectively minimize elevator safety accidents, big data technology is combined with deep learning technology based on the Spark platform. This study first introduces the relevant theories of elevator safety monitoring technology, namely big data ...
Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action.
European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
Jun 12, 2020
Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identi...
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