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Medical data and text mining - Linking diseases, drugs, and adverse reactions

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Lars Juhl Jensen
Lars Juhl Jensen
ScienceHealth & Medicine
1 of 95
Medical data and text mining Linking diseases, drugs, and adverse reactions Lars Juhl Jensen
structured data
Jensen et al., Nature Reviews Genetics, 2012
unstructured data
central registries
individual hospitals
opt-out
opt-in
Danish registries
civil registration system
CPR number
established in 1968
Jensen et al., Nature Reviews Genetics, 2012
national discharge registry
14 years
6.2 million patients
45 million admissions
68 million records
119 million diagnosis
ICD-10
Jensen et al., Nature Reviews Genetics, 2012
not research
reimbursement
diagnosis trajectories
naïve approach
comorbidity
Jensen et al., Nature Reviews Genetics, 2012
confounding factors
“known knowns”
gender
age
type of hospital encounter
Jensen et al., Nature Communications, 2014
“known unknowns”
smoking
diet
“unknown unknowns”
reporting biases
matched controls
temporal correlations
multiple testing
trajectories
Jensen et al., Nature Communications, 2014
trajectory networks
Jensen et al., Nature Communications, 2014
key diagnoses
Jensen et al., Nature Communications, 2014
direct medical implications
electronic health records
structured data
Jensen et al., Nature Reviews Genetics, 2012
unstructured data
free text
Danish
busy doctors
typos
psychiatric patients
text mining
computer
as smart as a dog
teach it specific tricks
comprehensive dictionary
diseases
drugs
adverse drug reactions
expansion rules
Clozapine clozapi n clossapi n klozapin e chlosapi n chlosapi ne chlozapi n chlozapi ne klossapi n closapin e klozapi nklosapi n
“negative modifiers”
negations
delusions
pharmacovigilance
structured data
medication
semi-structured data
drug indications
known ADRs
unstructured data
adverse drug reactions
statistical correlations
hand-crafted rules
Eriksson et al., Drug Safety, 2014 Drug introduction Drug discontinuationAdverse event Adverse eventNegative modifier Indication Pre-existing condition Adverse drug reaction Possible adverse drug reaction ADR of additional drug
Eriksson et al., Drug Safety, 2014 Drug introduction Drug discontinuationAdverse eventIdentification start Adverse eventNegative modifier Indication Pre-existing condition Adverse drug reaction Possible adverse drug reaction ADR of additional drug
Eriksson et al., Drug Safety, 2014 Drug introduction Drug discontinuation Adverse eventNegative modifier Indication Pre-existing condition Adverse drug reaction Possible adverse drug reaction Adverse event ADR of additional drug Identification start
Eriksson et al., Drug Safety, 2014 Drug introduction Drug discontinuation Adverse eventNegative modifier Indication Pre-existing condition Adverse drug reaction Possible adverse drug reaction Adverse event ADR of additional drug Identification start
known ADRs
ADR frequencies
Eriksson et al., Drug Safety, 2014
detect new ADRs
Acknowledgments Disease trajectories Anders Bøck Jensen Tudor Oprea Pope Moseley Søren Brunak Adverse drug reactions Robert Eriksson Thomas Werge Søren Brunak EHR text mining Peter Bjødstrup Jensen Robert Eriksson Henriette Schmock Francisco S. Roque Anders Juul Marlene Dalgaard Massimo Andreatta Sune Frankild Eva Roitmann Thomas Hansen Karen Søeby Søren Bredkjær Thomas Werge Søren Brunak
Medical data and text mining - Linking diseases, drugs, and adverse reactions

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