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Full-Text Articles in Engineering

Comparing Record Linkage Software Programs And Algorithms Using Real-World Data., Alan F. Karr, Matthew T. Taylor, Suzanne L. West, Soko Setoguchi, Tzuyung D. Kou, Tobias Gerhard, Daniel B. Horton Sep 2019

Comparing Record Linkage Software Programs And Algorithms Using Real-World Data., Alan F. Karr, Matthew T. Taylor, Suzanne L. West, Soko Setoguchi, Tzuyung D. Kou, Tobias Gerhard, Daniel B. Horton

Student Papers & Posters

Linkage of medical databases, including insurer claims and electronic health records (EHRs), is increasingly common. However, few studies have investigated the behavior and output of linkage software. To determine how linkage quality is affected by different algorithms, blocking variables, methods for string matching and weight determination, and decision rules, we compared the performance of 4 nonproprietary linkage software packages linking patient identifiers from noninteroperable inpatient and outpatient EHRs. We linked datasets using first and last name, gender, and date of birth (DOB). We evaluated DOB and year of birth (YOB) as blocking variables and used exact and inexact matching methods ...


Non-Parametric Combination Analysis Of Multiple Data Types Enables Detection Of Novel Regulatory Mechanisms In T Cells Of Multiple Sclerosis Patients., Sunjay Jude Fernandes, Hiromasa Morikawa, Ewoud Ewing, Sabrina Ruhrmann, Rubin Narayan Joshi, Vincenzo Lagani, Nestoras Karathanasis, Mohsen Khademi, Nuria Planell, Angelika Schmidt, Ioannis Tsamardinos, Tomas Olsson, Fredrik Piehl, Ingrid Kockum, Maja Jagodic, Jesper Tegnér, David Gomez-Cabrero Aug 2019

Non-Parametric Combination Analysis Of Multiple Data Types Enables Detection Of Novel Regulatory Mechanisms In T Cells Of Multiple Sclerosis Patients., Sunjay Jude Fernandes, Hiromasa Morikawa, Ewoud Ewing, Sabrina Ruhrmann, Rubin Narayan Joshi, Vincenzo Lagani, Nestoras Karathanasis, Mohsen Khademi, Nuria Planell, Angelika Schmidt, Ioannis Tsamardinos, Tomas Olsson, Fredrik Piehl, Ingrid Kockum, Maja Jagodic, Jesper Tegnér, David Gomez-Cabrero

Computational Medicine Center Faculty Papers

Multiple Sclerosis (MS) is an autoimmune disease of the central nervous system with prominent neurodegenerative components. The triggering and progression of MS is associated with transcriptional and epigenetic alterations in several tissues, including peripheral blood. The combined influence of transcriptional and epigenetic changes associated with MS has not been assessed in the same individuals. Here we generated paired transcriptomic (RNA-seq) and DNA methylation (Illumina 450 K array) profiles of CD4+ and CD8+ T cells (CD4, CD8), using clinically accessible blood from healthy donors and MS patients in the initial relapsing-remitting and subsequent secondary-progressive stage. By integrating the output of a ...