Deep Learning for Health Informatics

With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvements in computational power, fast data storage, and parallelization have also contributed to the rapid uptake of the technology in addition to its predictive power and ability to generate automatically optimized…

• NI
  National Institute for Health and Care Research
• IC
  Imperial College London
• EA
  Engineering and Physical Sciences Research Council

  Awards: EP/N027132/1, EP/L014149/1, EP/N02334X/1, EP/N027132/1, EP/H009744/1, EP/J021199/1, EP/L014149/1, EP/E044298/1, EP/M000257/1, EP/M000257/1