Journal of Biomedical Informatics 82 (2018) 31–40 Contents lists available at ScienceDirect Journal of Biomedical Informatics journal homepage: www.elsevier.com/locate/yjbin Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes a, b a,c,d Moumita Bhattacharya , Claudine Jurkovitz , Hagit Shatkay Computational Biomedicine Lab, Computer and Information Sciences, University of Delaware, Newark, DE, USA Value Institute, Christiana Care Health System, Newark, DE, USA Center for Bioinformatics and Computational Biology, Delaware Biotechnology Inst, University of Delaware, DE, USA School of Computing, Queen's University, Kingston, ON K7L 3N6, Canada ARTIC L E I NF O ABSTRAC T Keywords: Patients associated with multiple co-occurring health conditions often face aggravated complications and less Topic modeling favorable outcomes. Co-occurring conditions are especially prevalent among individuals suﬀering from kidney SNOMED-CT codes disease, an increasingly widespread condition aﬀecting 13% of the general population in the US. This study aims Electronic health records to identify and characterize patterns of co-occurring medical conditions in patients employing a probabilistic Co-occurring medical conditions framework. Speciﬁcally, we apply topic modeling in a non-traditional way to ﬁnd associations across SNOMED- CT codes assigned and recorded in the EHRs of > 13,000 patients diagnosed with kidney disease. Unlike most prior work
Journal of Biomedical Informatics – Elsevier
Published: Jun 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera