Applied Data Science to Lower Healthcare Costs for Successful Aging
Posted by Haw-minn Lu in Visualizations
In this section, we discuss geographic data handling, a brief overview of dash and introduce dash-leaflet in greater detail.
There are two types of geographic data that we use in this tutorial, map data, and geometries. Map data is the underlying …
Posted by Haw-minn Lu in Algorithms
With the goal of providing a senior friendly vaccine experience, Gary and Mary West PACE which stood up a small senior oriented covid vaccine clinic desires to mitigate the amount of paperwork a frail senior is subjected to. Quite a lot of data is repeatedly asked for …
Posted by Haw-minn Lu in Visualizations
This tutorial series came about when the Data Science team here at the West Health Institute was asked to provide a highly interactive map visualization by the West Health Policy Center and the University of Pittsburg School of Pharmacy for their study: Access to Potential COVID-19 Vaccine Administration Facilities …
Posted by Haw-minn Lu in Machine Learning
Metamorphic truth is a method of training an Artificial Neural Network (ANN) where the "truth" supplied during training is not fixed and may depend on the prediction made by the ANN. More specifically during training a truth metamorphism is defined as a function of the prediction …
Posted by Haw-minn Lu in Machine Learning
Quasiorthonormal encoding (QOE) is a generalization of the one-hot encoding and exploits the fact that in high dimensional vector spaces, two random vectors are almost always orthogonal. The concept originated with Kůrková and Kainen almost 25 years ago. The principle is the same as one-hot encoding when you view …
Posted by Haw-minn Lu in Machine Learning
While most popular machine learning methods such as deep learning require numerical data as input, categorical data is very common practice. For example, a person's vitals could be a combination of both, they could include height, weight (numerical) and gender, race (categorical). The challenge is to convert the categorical …
Posted by Giancarlo Perrone in Network
Successful Data Science pivots upon discovering meaningful relationships in data using intuitive visualizations. Representing relationships using a network graph is a common approach, but generating an interactive and fluid graph visualization can be a challenge, especially with large datasets. In this blog post we introduce Pyvis, a python module based upon the mature VisJS JavaScript library, enabling fluid and interactive visualizations of complex network graphs.
Posted by Haw-minn Lu in Machine Learning
Heat map code from https://stackoverflow.com/questions/33282368/plotting-a-2d-heatmap-with-matplotlib
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
# generate 2 2d grids for the x & y bounds
y, x = np.meshgrid(np.linspace(-3, 3, 100), np.linspace(-3, 3, 100))
z = (1 - x / 2. + x ** 5 …Posted by Haw-minn Lu in Machine Learning
The mission of West Health Institute is to lower healthcare costs to enable seniors to successfully age in place, with access to high-quality, affordable health and support services that preserve and protect their dignity, quality of life and independence. Data Science is fundamental …
Posted by Michael Scherer in Architecture
These posts reveal serverless methods for designing and testing our internal systems, as I iterated over different configurations and components. AWS provided the initial JavaScript-based design for API with authentication but I updated it for Python. I only used HIPAA eligible services because of our sensitive private data sources.