Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Abstract Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervisedContinue reading… Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

WORLD’S BIGGEST AI ONLINE CONFERENCE FOR DEVELOPERS: AI WITH THE BEST

AI WITH THE BEST AI With the Best 29th-30th April is the 3rd edition of the online AI conference for developers, startups, scientists, and corporations around the world. Advised by Ian Goodfellow from GoogleBrain, 100 speakers will present over aContinue reading… WORLD’S BIGGEST AI ONLINE CONFERENCE FOR DEVELOPERS: AI WITH THE BEST

Hold on Google TensorFlow, Facebook is coming with Visdom

Overview Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboardsContinue reading… Hold on Google TensorFlow, Facebook is coming with Visdom

Building meaningful machine learning models for disease prediction

Dr Shirin Glander Setup All analyses are done in R using RStudio. For detailed session information including R version, operating system and package versions, see the sessionInfo() output at the end of this document. All figures are produced with ggplot2.Continue reading… Building meaningful machine learning models for disease prediction

Leveraging Data Analytics and Internet of Things in Your Digital Transformation

Increasingly, connected systems and devices are generating data that produce insights for improving business processes and consumer experiences. IDC predicts that by the year 2020 there will be 44 zettabytes (that’s 44 x 10) of information, spawned partly by consumerContinue reading… Leveraging Data Analytics and Internet of Things in Your Digital Transformation

Google Deepmind: Should patients trust the company with their data?

By Jane Wakefield Google’s artificial intelligence unit DeepMind is getting serious about healthcare – with ambitious plans to digitise the NHS – but first it needs to convince patients to hand over their medical records. Back in February, it beganContinue reading… Google Deepmind: Should patients trust the company with their data?

5 Benefits of Data and Analytics for Positive Business Outcomes

Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner.Continue reading… 5 Benefits of Data and Analytics for Positive Business Outcomes

Making data science accessible – Machine Learning – Tree Methods

What are Tree Methods?  Tree methods are commonly used in data science to understand patterns within data and to build predictive models. The term Tree Methods covers a variety of techniques with different levels of complexity but my aim isContinue reading… Making data science accessible – Machine Learning – Tree Methods