Más contenido relacionado La actualidad más candente (20) Similar a Natural Language Understanding at AI and Machine Learning in Clinical Trials Summit 2018 (20) Natural Language Understanding at AI and Machine Learning in Clinical Trials Summit 20181. Copyright © 2018, Saama Technologies
Delivering Analytics Advantage
to the Global 2000
Natural Language Understanding
Malai Sankarasubbu
Karim Damji
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About Saama
AI and machine augmented analytics company delivering
“Business Outcomes” for life sciences
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Solve the Equation, Win a Drone!
𝑒
−
𝑑𝑣
𝑑𝑡 ∙ min 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑡𝑟𝑖𝑎𝑙𝑠
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Linearly Separable Needs to be separated in 5D space
The Importance of AI – a Salt and Pepper Example…
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Perception Understanding Reasoning
Artificial Intelligence
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27 million articles
Pharma has a Slight Text Challenge…
270,435 research studies
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Structured Data from Unstructured Text
Tom Smith, who has been living in 123 Piscataway, Durham, NC, has been suffering
from migraines for the past 3 years. Mr. Smith was admitted to a hospital previously on
08/01/2017 since he broke his hand. He can be reached at his office number
5555557777. He has been taking Vioxx for an extended period of time.
name address
condition
condition
dt_time
dt_time
phone dt_timedrug
Seems simple enough?
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Computers are usually really
good at understanding binary
language.
– but not human language.
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An Attentive Sequence Model for
Adverse Drug Event Extraction
from Biomedical Text
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Life Science Analytics Cloud – Digital Transformation through
Orchestration
Clinical Development
Optimizer
Trial Planning
Optimizer
Journey of a Drug Via Clinical Trial
Discovery Phase 1 Phase 2 Phase 3 Approval
Post-
Approval
Planning Start-up Study Conduct
Cohort Builder
Delivers Clinical Data Analytics and Management as a Service (CDaaS) and the implementation of Operational Data Repositories
(ODR) and Patient Data Repositories (PDR)
Data Manager
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Copyright © 2018, Saama Technologies
Life Science Analytics Cloud – Digital Transformation through
Orchestration
Clinical Development
Optimizer
Trial Planning
Optimizer
Journey of a Drug Via Clinical Trial
Discovery Phase 1 Phase 2 Phase 3 Approval
Post-
Approval
Planning Start-up Study Conduct
Cohort Builder
Delivers Clinical Data Analytics and Management as a Service (CDaaS) and the implementation of Operational Data Repositories
(ODR) and Patient Data Repositories (PDR)
Data Manager
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Copyright © 2018, Saama Technologies
Initiate a conversation over
multiple natural channels of
engagement
Identify Intent and extract entities
using AI
Generate a response from the
knowledge base and system APIs
Build a natural response/dialog
and continue the interaction
INTERACT INTERPRET
INTEGRATEENGAGE
What is Smart Assistant with AI?
A software agent that can perform tasks or services for an individual using text, voice and other methods of interaction.
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Intent Extractor
Understand what the user
means!
“What was Saama’s
revenue in 2017 ?”
Intent: revenue
Entity Extractor
Extract entities to make an
action!
“What was Saama’s revenue
in 2017 ?”
Company: Saama
Year: 2017
You Need a Good NLU Engine!
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One question one answer system is not good CX.
They should have ability to hold conversation.
Users respond with please and thank you after 6 responses
You Need a Good NLU Engine!
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Where are you in the conversation?
What have you said before?
Conversation State
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NLU engine generalizes well with ~20 samples per Intent
Customized NLU Engine for Pharma
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“The best way to predict the
future is to create it.”
– Peter Drucker