rapidminer, an entrance to explore mimic-iii?

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RapidMiner An entrance to explore M IMIC-III ? Sven Van Poucke, MD December 8th 2015

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Page 1: RapidMiner, an entrance to explore MIMIC-III?

RapidMiner

An entrance to explore MIMIC-III ?

Sven Van Poucke, MD

December 8th 2015

Page 2: RapidMiner, an entrance to explore MIMIC-III?

Disclosure

Relevant financial arrangement or affiliation with RapidMiner that could be perceived as a real or apparent conflict of interest in the context of the subject of this presentation:

Academia License: RapidMiner Studio, Server, Radoop

“RapidMiner Academia provides free or substantially discounted use of the commercial version of our platform to students, professors, researchers and other academics at educational institutions.”

No reimbursement for consultancy and/or travel expenses.

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François Englert Theoretical physicist 2013 Nobel prize

laureate (shared with Peter Higgs)

Christain de DuveNobel prize 1974

(shared with Albert Claude and George E. Palade)

Corneille Heymans

1938

1921

Paul Janssen 1926–2003

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Ziekenhuis Oost-LimburgGenk Belgium

6

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Big data gap between actual and potential data usage ?

• healthy living, wellness, sport

• health care as industrial process

• public health

• MEDICINE

data scientist

budget

domain expert

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“Evidence 1.0”

• > Physicians as non coding scientist.

• The struggle to apply new medical knowledge….

• Most evidence regarding the effectiveness of medical innovations has been generated by studies involving patients who differ from my patients!

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Cross Industry Standard Process for Data Mining, CRISP-DM

Shearer C., The CRISP-DM model: the new blueprint for data mining, J Data Warehousing 2000; 5:13—22

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“Evidence 2.0”

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Patient characteristics, descriptive statistics…

Correlation, causation? Feature selection….

Modeling, validation, ensemble methods. Helps model future (vaccination)

How different actions will affect therapeutic performance and point them toward the optimal choice.

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https://data-analytics.ghost.io/this-is-data-science/

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Querying MIMIC-III(II)

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Design perspective main screen

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“Evidence 2.0”

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Querying MIMIC-III• 1. Retrieve tables from Repository

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Querying MIMIC-III• 1. Retrieve tables from Repository

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Querying MIMIC-III• 2. Read database (SQL)

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Querying MIMIC-III• 2. Read database (SQL)

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Querying MIMIC-III• 2. Read database (SQL)

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Querying MIMIC-III• 2. Read database (SQL)

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Querying MIMIC-III• 3. Access by Radoop-Hadoop ecosystem

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Radoop-Hadoop

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Radoop-Hadoop

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Descriptive analytics• Sample

• Filter

• Selection

• Joins

• Generate attributes

• Charts

• ….

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Descriptive analytics: sample

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Descriptive analytics: sample

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Descriptive analytics: sample

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Descriptive analytics

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Descriptive analytics

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Descriptive analytics

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Descriptive analytics

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Descriptive analytics

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Descriptive analytics: generate attribute

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Descriptive analytics

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Descriptive analytics

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Descriptive analytics: filter

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Descriptive analytics: filter

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“Evidence 2.0”

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Diagnostic analytics

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Diagnostic analytics

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Diagnostic analytics

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Predictive analytics

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Diagnostic analytics

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“Evidence 2.0”

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Predictive analytics

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Predictive analytics• Ensemble learning methods in RapidMiner

(Decision Stump, AdaBoost, Random Forest, Bagging, W-J48, Decision Tree, Naive Bayes, Stacking, Logistic Regression, Support Vector Machine).

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Predictive analytics• AUPRC curves for the 3 best models.

Random Forest (RF) in association with Backward Selection (BS) and 69 features (left), with Forward Selection (FS) and 8 features (middle) and Gini Selection (GS) and 5 features.

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Predictive analytics

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Prescriptive analytics

• Clinical decision support

• Clinical decision automation

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What is next?

• Text mining:

• Image mining

• Time series

• Web mining

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Web Mining: Twitter

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Web Mining: Twitter

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RapidMiner Streams

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RapidMiner Server

• The Collaboration tier of the RapidMiner Server for a team of data scientists and analysts.

• It provides a server-based repository for sharing data sources, analytical processes, predictive applications, and best practices.

• Work together more efficiently while accessing, reusing, and sharing content in a version-controlled, secure, and centrally managed environment.

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RapidMiner Server

• The RapidMiner Server Computation tier is optimized for performance and lets you run big jobs on enterprise hardware anywhere. With a few clicks you can push jobs to the server and continuously get progress feedback, while freeing up your personal system for other important work.

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Future projects: RM server

• RapidMiner Server Deployment tier. Easily integrate with cloud, business, and IT systems through an open API, a rich set of connectors, and a unique ability to deploy processes as web services. Set up scheduled processing, continuously score data in real-time, and graphically build interactive predictive and visual web applications to maximize the value of predictive analytics in your business.

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RapidMiner Dashboard

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Sven Van Poucke, MD Department of Anesthesiology, Critical Care, Emergency Medicine, Pain Therapy

Ziekenhuis Oost-Limburg Genk, Belgium

RapidMiner An entrance to explore MIMIC-III ?