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Predictive Analytics poster with links
Predictive analytics glossary & taxonomy
Evolving Terminology for Emerging Technologies
Comments? Questions?
Revisions? Mary Chitty mchitty@healthtech.com
Last revised
October 25, 2018
presented BioIT World Boston MA April 2015 Abstract:
Software for predictive analytics is making this activity more accessible
to people without deep programming or statistical experience.
Pharmaceutical predictive analytics applications
include business/competitive intelligence, clinical trial modeling,
outcome prediction, predictive toxicology, patent analysis, technology
sensing and others,. Related topics include data visualization, data
integration, data mining, deep learning, machine learning, probabilistic
forecasting, text mining and knowledge management. Information
professionals can bring relevant experience in data curation and query
formulation to contribute to this process.
Overviews:
How Big Data Can Revolutionize Pharmaceutical R&D, Jamie Cattell, Sastry
Chilukuri, and Michael Levy, McKinsey, April
2013
After transforming customer-facing
functions such as sales and marketing, big data is extending its reach to
other parts of the enterprise. In research and development, for example,
big data and analytics are being adopted across industries, including
pharmaceuticals.
http://www.mckinsey.com/insights/health_systems_and_services/how_big_data_can_revolutionize_pharmaceutical_r_and_d
making enterprise elephants dance (gangnam style) , Andy Palmer, Tamr,
Boston Data Festival, 2014 Start with the questions not the answer…
Ask aspiration/transformational questions…. embrace the ambiguity…. Do not
boil the ocean. Internal and external data BOTH important. http://www.bostondatafest.com/wp-content/uploads/2014/11/Palmer_Presentation_Boston_Data_Festival.pdf
Nate Silver, The Signal and the
Noise: Why most predictions fail – but some don’t, Allen Lane, 2012.
The fashionable term now is “Big Data”… This exponential growth in
information is sometimes seen as a cure-all…. Before we demand more of our
data, we need to demand more of ourselves.
Google Trends
Predictive analytics
2005-2014 % increase 1,486%
PubMed
articles predictive analytics 1975-2014
1990-2014 1107% increase
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Terminology and key concepts
Predictive analytics:
encompasses a variety of statistical techniques from modeling, machine
learning, and data
mining that
analyze current and historical facts to make predictions about
future, or otherwise unknown, events. .. The core of predictive analytics
relies on capturing relationships between
explanatory variables and
the predicted variables from past occurrences, and exploiting them to
predict the unknown outcome. It is important to note, however, that the
accuracy and usability of results will depend greatly on the level of data
analysis and the quality of assumptions.
Wikipedia accessed April 12 2015
http://en.wikipedia.org/wiki/Predictive_analytics
Predictive Model Markup Language, Data Monitor Group
http://www.dmg.org/
Predictive modeling:
leverages statistics to predict outcomes. Most
often the event one wants to predict is in the future, but predictive
modelling can be applied to any type of unknown event, regardless of when
it occurred. For example, predictive models are often used to detect
crimes and identify suspects, after the crime has taken place.
In many cases the model is chosen on the basis of detection
theory to try to guess the
probability of an outcome given a set amount of input data, Wikipedia
accessed April 12, 2015
http://en.wikipedia.org/wiki/Predictive_modelling
Related concepts: deep
learning, machine learning, neural nets, text mining, data integration,
collaboration, next generation sequence data analytics, correlating
patient genotypes and clinical trial results, biosensors and remote
monitoring and wearable devices, real world data
Biopharmaceutical
glossaries & taxonomies: informatics Overview
Informatics_Overview.asp
Gartner IT Glossary
http://www.gartner.com/it-glossary/
StatSoft Statistics Glossary
http://www.statsoft.com/Textbook/Statistics-Glossary
Predictive
Analytics Software
Accenture, Predictive Health Analytics
http://www.accenture.com/us-en/Pages/service-life-sciences-predictive-health-intelligence-analytics-solutions.aspx
BioMedTracker, Informa
http://www.biomedtracker.com/
Cortellis Regulatory Analytics, Thomson
http://thomsonreuters.com/cortellis-regulatory-intelligence-analytics/
IBM Business Analytics for life sciences
http://m.ibm.com/http/www-01.ibm.com/software/au/analytics/pharmaceuticals-life-sciences/
Recorded Future, Competitive Intelligence
https://www.recordedfuture.com/competitive-intelligence/
SAS Analytics for Life Sciences
http://www.sas.com/en_us/industry/life-sciences.html#more-solutions
StatSoft, Pharmaceutical Solutions
http://www.statsoft.com/Solutions/Pharmaceutical
Data Visualization
software Excel Power Pivot
https://support.office.com/en-us/article/Power-Pivot-Add-in-a9c2c6e2-cc49-4976-a7d7-40896795d045
Palantir
https://www.palantir.com/
Tableau
http://www.tableausoftware.com/
Tibco Spotfire
http://spotfire.tibco.com/
Other companies of interest include: Tamr
http://www.tamr.com/
Exaptive
https://exaptive.com/
GNS Healthcare,
http://www.gnshealthcare.com/
Innovaccer
http://www.innovaccer.com/
Government
FDA Sentinel Initiative
A national electronic system that will transform FDA’s ability to track
the safety of drugs, biologics, and medical devices once they reach the
market is now on the horizon. Launched in May 2008 by FDA, the Sentinel
Initiative aims to develop and implement a proactive system that will
complement existing systems that the Agency has in place to track reports
of adverse events linked to the use of its regulated products.
http://www.fda.gov/Safety/FDAsSentinelInitiative/ucm2007250.htm
Journals:
Articles appear in a wide and scattered variety of journals. Relevant
titles include American Health & Drug Benefits, Engage Communications
http://www.ahdbonline.com/
Big Data, Mary Ann Liebert
http://www.liebertpub.com/overview/big-data/611/
Bioanalysis, Future Science
http://www.future-science.com/loi/bio
Healthcare financial
management : journal of the Healthcare Financial Management Association.
Journal of Pharmaceutical & Biomedical Analysis, Elsevier
http://www.sciencedirect.com/science/journal/07317085
Statistical Methods in Medical Research, Sage Publications
http://smm.sagepub.com/
Statistics in Medicine, Wiley
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0258
Value in Health, Elsevier
http://www.valueinhealthjournal.com/
Newsletters
Fierce Big data
http://www.fiercebigdata.com/
Predictive Analytics Today
http://www.predictiveanalyticstoday.com/
Conclusion:
Predictive analytics can be used to identify pharmaceuticals trends and
predict outcomes and identify probabilities for R&D successes and
failures. Similar questions can be asked for various drug targets or
indications and replicated.
This is a work in progress.
Please let me know of other useful resources and developments.
Electronic version with links available at
predictiveanalytics.ASP
Thanks to Eric Stubbs, Information Specialist, Otsuka and Richard
Steel, Science Intelligence Analyst, Genzyme for their lists of software
summarized for the Pharmaceutical & Health Technologies Division Listserv,
and to Mark Burfoot, Novartis, particularly for his observation about the
power of articulating what you are not interested in,
Bibliography
How
to look for other unfamiliar terms
IUPAC definitions are reprinted with the permission of the International
Union of Pure and Applied Chemistry.
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