Video: Eight Steps for Building Health Predictive Models using Open Source Technologies


Predictive Modeling in Healthcare Part II: Setting up Spark for Jupyter Notebook

In the current series of blog posts, we are building a predictive model to predict which inpatients are at risk of dying. In the previous post we downloaded the Texas publicly available inpatient dataset using wget and imported it into Read more…


Predictive Modeling in Healthcare Part I: Downloading the Texas Public Use Inpatient Data

In this series of blog posts, I will describe how to build a predictive model to predict which patients admitted to the hospital are at risk of dying. In this first post, let’s download our healthcare dataset: the Texas public Read more…


AI in Healthcare – Ethical Considerations

Given the touting of recent analytic and machine learning results in healthcare, why haven’t doctors been replaced by computers yet? The truth is that there are many obstacles that stand in the way of implementing  analytics in healthcare. Ethical issues Read more…


7 Popular Applications of Artificial Intelligence in Healthcare

With the advent of automation, artificial intelligence (AI), and machine learning, we hear about their applications regularly in news across industries. This has been especially true for healthcare where various hospitals, health insurance companies, healthcare units, etc. have been impacted in more substantial Read more…


3 ways to fight congestive heart failure using artificial intelligence

Objective Congestive heart failure (CHF) has been called an “epidemic” and a “staggering clinical and public health problem” (Roger, 2013). It can be defined as the impaired ability of the ventricle to fill or eject with blood.  Consequences include difficulty Read more…


What are intelligent systems?

For many healthcare professionals, the topic of artificial intelligence may seem daunting at first.  I know for a fact that artificial intelligence isn’t taught during those Methods and Logic in Medicine lectures that are commonly slept through by medical students.  Read more…


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