Healthcare in 3D Terms and Phrases

Semi-Supervised Learning
Consuming structured and unstructured data using both Supervised and Unsupervised Learning techniques.
Supervised Learning
Machine Learning using Labeled Data (known answers). The learning occurs when the algorithm checks its guess against the known answer then adjusts to make its guess better
Unsupervised Learning
Machine Learning using Unlabeled Data. Unlike Supervised Learning where the answer is known (or labeled) unsupervised learning finds unknown patterns or correlations and makes them known. Reapplying the new found patterns results in a hybrid, a type of semi-supervised learning.
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Healthcare in 3 Dimensions is a system to optimize and assess the delivery of healthcare using counterfactual analysis of care paths, managing costs without sacrificing the individuality of the patient.

RECENT NEWS

13
Dec 2021
HCn3D Topology Whitepaper

Health care cost control requires transformation of health care delivery and financing.


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09
Jul 2019
CMS CHALLENGE Submittal 3

In June the Team submitted their application to the CMS AI Health Outcomes Challenge.


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30
May 2019
CMS AI Health Outcomes Challenge
Dr. Ripley reflects on HCn3D’s participation in the CMS AI Health Outcomes Challenge.
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22
Jan 2019
Pyramid of Value INTERACTIVE!
HCn3D releases new interactive presentation for the Pyramid of Value
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