March 28, 2019
March 28, 2019
February 3, 2019
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…
February 1, 2019
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…
October 13, 2018
Given the touting of recent analytic and machine learning results in healthcare, why haven’t doctors been replaced by computers yet?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…
October 3, 2018
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…
August 25, 2018
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…
August 1, 2018
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…
July 27, 2018
Artificial intelligence, meet healthcare (in blog form). Your one-stop shop for the advancing edge of artificial intelligence and machine learning as it relates to healthcare and clinical medicine. Featuring news, recent research, code snippets, interviews, and more.