predictive analytics
See the following -
Open Source Libraries for Health Analytics
According to Health Catalyst’s Director of Data Science Levi Thatcher, the main author of the project, these tools are tried and tested. Many of them are based on popular free software libraries in the general machine learning space: he mentions in particular the Python Scikit-learn library and the R language’s caret and and data.table libraries. The contribution of Health Catalyst is to build on these general tools to produce libraries tailored for the needs of health care facilities, with their unique populations, workflows, and billing needs. The company has used the libraries to deploy models related to operational, financial, and clinical questions. Eventually, Thatcher says, most of Health Catalyst’s applications will use predictive analytics based on healthcare.ai, and now other programmers can too...
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Predictive Analytics – Healthcare’s Crystal Ball
...Imagine if you could effectively predict who was going to be hospitalized and reallocate resources to prevent unnecessary hospitalization and put those resources to use for cure rather than care. Read More »
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Q&A with Andy Oram: How Can We Tell Whether Predictive Analytics Are Biased?
The fear of reproducing society's prejudices through computer algorithms is being hotly discussed in both academic publications and the popular press. Just a few of the publications warning about bias in predictive analytics include the New York Times, the Guardian, the Harvard Business Review, and particularly a famous and hotly contested article by Propublica on predictions of recidivism among criminal defendants...
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The NSA And Big Data: What IT Can Learn
Enterprises can put the tools Big Brother uses to analyze our online activities to productive use. Here's how. Read More »
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Vibrent Health Joins Europe’s Open Source RADAR-CNS Program to Develop Scalable Analytics Platform for Health Wearables
Health technology company Vibrent Health...expands its digital health solutions business into Europe through a partnership with Remote Assessment of Disease and Relapse – Central Nervous System (RADAR-CNS). Vibrent Health will work with the Europe-led consortium on developing digital health programs featuring predictive analytics designed to monitor and help improve treatment for depression, multiple sclerosis, and epilepsy. RADAR-CNS is conducting research using a range of medical-grade sensors, such as electro-cardiograms, as well as a growing portfolio of consumer-grade sensors, including accelerometers and smartphone applications, that collect participant data from surveys and smartphone sensors.
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