Ibm+spss+modeler+184 ((exclusive)) -

A hospital system uses the Text Analytics node to mine physician notes and discharge summaries. Combined with patient vitals (from an Oracle database), they build a logistic regression model that flags patients with a high risk of 30-day readmission. The model runs nightly inside the Oracle database using in-database mining, generating a report for case managers by 6 AM.

IBM SPSS Modeler 18.4 is a leading visual data science and machine learning solution. It allows data scientists and business analysts to build predictive models quickly and intuitively without the need for extensive coding. Version 18.4 focuses on enhancing user productivity, improving connectivity to modern data sources, and ensuring compatibility with the latest operating systems. ibm+spss+modeler+184

In internal IBM tests, showed marked improvements over version 18.2: A hospital system uses the Text Analytics node

Before 18.4, selecting the right algorithm (C5.0, Neural Net, Random Trees, SVM, Logistic Regression) was a trial-and-error nightmare. The node automates this: It runs multiple algorithms simultaneously, compares accuracy, precision, and lift, and presents a leaderboard. In version 18.4, IBM enhanced the parallel processing capabilities of this node, allowing it to leverage multi-core servers up to 40% more efficiently. IBM SPSS Modeler 18