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Variable Clinical Presentation of Shwachman-Diamond Syndrome: Update From the North-American Shwachman-Diamond Syndrome Registry.
TLDR
Data from the North-American Shwachman Diamond Syndrome Registry reveals an unexpected range of clinical presentation for this rare disorder that expands beyond that which is currently classically recognized. Expand
Leaf: an open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research
TLDR
Leaf is a lightweight self-service web application for querying clinical data from heterogeneous data models and sources that does not specify a required data model and is designed to seamlessly leverage existing user authentication systems and clinical databases in situ. Expand
Leaf—An open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research
TLDR
Leaf is a lightweight self-service web application for querying and extracting clinical data from heterogeneous data sources that does not specify a required data model and is designed to seamlessly integrate with existing enterprise user authentication systems and clinical databases in situ. Expand
Transferability of Neural Network-based De-identification Systems
TLDR
The investigated transferability of neural network-based de-identification sys-tems with and without domain generalization found transferability from a single external source gave inconsistent re-sults, and external sources were useful even in cases where in-domain training data were available. Expand
Performance of Automatic De-identification Across Different Note Types
TLDR
A state-of-the art de-id system called NeuroNER1 is presented on a diverse set of notes from University of Washington (UW) when the models are trained on data from an external institution (Partners Healthcare) vs. from the same institution ( UW). Expand
Application of Spectral Density/Periodogram Analysis to Serial Neutrophil Counts to Diagnose Cyclic Neutropenia
TLDR
A simple method for making periodogram analysis much more widely available to clinicians and patients on a world-wide basis is developed and will help to secure the diagnosis of cyclic neutropenia and provide patients with important prognostic information. Expand
Transferability of Neural Network Clinical De-identification Systems
Objective: Neural network de-identification studies have focused on individual datasets. These studies assume the availability of a sufficient amount of human-annotated data to train models that canExpand