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Response to Cancer Treatment

John Snow Labs

We will discuss identifying keywords or phrases NER in text data that are crucial in understanding the progress/changes in patient’s cancer treatment history and additionally, evaluate the response to the applied treatment by using a text classification model. Step 1: Transforms raw texts to `document` document = DocumentAssembler().setInputCol("text").setOutputCol("document")

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The Essential Digital Strategies

Dion Hinchcliffe's Web 2.0 Blog

Therein lies the opportunity for most of us. Today’s networks can be of any size, any form, and can effortlessly enable us to come together en masse and collaborate for purposes of creating incalculable human value — many of which were hitherto simply impossible, and all at a cost that relentlessly falls towards zero.

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The Best Web 2.0 Software of 2006

Dion Hinchcliffe's Web 2.0 Blog

The overall trend: We have begun moving all our software, data, and even our social activities onto the Web en masse and the demand for high-quality online sites and applications that support this shift in primary focus from the PC to the Internet is there in vast numbers (there are now 1 billion users on the Web today). The Best Web 2.0

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The Best Web 2.0 Software of 2006

Dion Hinchcliffe's Web 2.0 Blog

The overall trend: We have begun moving all our software, data, and even our social activities onto the Web en masse and the demand for high-quality online sites and applications that support this shift in primary focus from the PC to the Internet is there in vast numbers (there are now 1 billion users on the Web today). The Best Web 2.0

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The Best Web 2.0 Software of 2006

Dion Hinchcliffe's Web 2.0 Blog

The overall trend: We have begun moving all our software, data, and even our social activities onto the Web en masse and the demand for high-quality online sites and applications that support this shift in primary focus from the PC to the Internet is there in vast numbers (there are now 1 billion users on the Web today). The Best Web 2.0