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32 Cards in this Set
- Front
- Back
Motivation in Big Data |
-Availability of Information Systems -Optimize clinical and financial data |
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Information systems (4) |
1. EMR 2. HIS 3. Laboratory Inventory Systems 4. Pharmacy Systems |
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Optimize clinical and financial data (5) |
1.Well informed decisions (effective treatment choices) 2.Directed programs 3. Cost – effective approach in managing treatment 4. Forecast / Predict 5. Policies grounded on data |
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What do you use Big Data for? |
-Statistics -Mining -Models -Simulations |
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Types of Mining (2) |
1. Data Mining 2. Process Mining |
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Types of Models (3) |
1. Workflow or Clinical Processes 2. Knowledge 3. Diseases |
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What is Big Data? |
Volume Variety Velocity Veracity |
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How do we get big data? |
-Primary sources (surveys, information systems, social networking applications) -Secondary sources (websites, public databases, social networking applications) |
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Primary sources What can you generate from surveys and/or information systems? |
Datasets (XLS, CSV) |
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Primary sources Information systems (EMRs, HIS) can be ____ or _____ |
closed or open |
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Primary sources |
APIs (Application Program Interface) |
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Secondary sources You can either ____________ or ______________ these data |
download fixed datasets (xls, csv) or download from specified range (xls, csv) |
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Transformation from data to information |
extraction - store - preprocess - analyze - visualize or narrate |
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Extraction |
APIS CODING (e.g. R, PYTHON) |
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Store |
Dynamic Fixed Curate |
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Preprocess |
Frequencies Demographic |
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Analyze |
Statistical Machine Learning SNA |
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Visualize |
D3.js charts graphs |
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Narrate |
insights user experience sticky |
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an example of a participatory surveillance app |
EB Tracker |
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Modeling tools |
Mathematical Modeling Agent Based Modeling |
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STEM (by IBM) model |
SEIR Susceptible-Exposed-Infected-Recovered |
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health informatics in line of rainstorm and flood disasters |
eBayanihan |
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FASSSTER |
-?? |
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Pros of Big Data |
informed decision making modeling, prediction and forecasting simulations |
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Cons of Big Data |
challenges data privacy |
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What would help in facilitating use and promotion? |
-Clear policies from government -Find that balance between use of data and securing data |
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Responsible big data management on health information |
-Public Awareness -Transparency -New Regulatory Framework / Certifications -Standardization -Training and Education |
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types of mining |
1. exploratory mining 2. guided mining |
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mining wherein an algorithm can tell you that your data can have categories |
exploratory |
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mining that has types already beforehand |
guided |
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where classification algorithms are |
Blackboxes |