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The Consequences of Relying on Algorithms for Healthcare Decisions

In an era where technology continues to evolve at a staggering pace, the integration of algorithms into healthcare decisions holds ...
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
STAT

AI gone astray: How subtle shifts in patient data send popular algorithms reeling, undermining patient safety

A novel investigation by STAT and the Massachusetts Institute of Technology found that subtle shifts in data fed into popular health care algorithms — used to warn caregivers of impending medical ...
Visual Studio Magazine

Binary Classification Using a scikit Decision Tree

The Data Science Lab Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained ...
The Verge

Here’s how an algorithm guides a medical decision

Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...
Health Affairs

Predicting Race And Ethnicity To Ensure Equitable Algorithms For Health Care Decision Making

Algorithms are currently used to assist in a wide array of health care decisions. Despite the general utility of these health care algorithms, there is growing recognition that they may lead to ...