AIMC Topic: Data Science
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Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective.
Journal of healthcare engineering
Aug 30, 2020
Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) an...
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.
Methods (San Diego, Calif.)
Jul 19, 2020
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last decade due to numerous technological breakthroughs. Imaging is now playing a critical role on deployment of the clinical workflow, both for treatment plan...
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.
Chemical reviews
Jun 10, 2020
By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal-organic frameworks (MOFs). The fact that we have so many materials opens many exciting avenues but also create new challenges. We simply have too m...
Data science and machine learning in anesthesiology.
Korean journal of anesthesiology
Mar 25, 2020
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods that are largely inference-based, ML is geared more towards making accurate predictions. ML is a field of artificial intelligence concerned with devel...
Advanced Data Analytics for Clinical Research Part II: Application to Cardiothoracic Surgery.
Innovations (Philadelphia, Pa.)
Feb 28, 2020
In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Query Language data warehouse, natural language processing (NLP), optical character recognition (OCR), and Internet of Things (IoT). There are nuances ...
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...
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...
'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...
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