OBJECTIVE To summarize recent research and present a selection of the best papers published in 2015 in the field of clinical Natural Language Processing (NLP). METHOD A systematic review of the literature was performed by the two section editors of the IMIA Yearbook NLP section by searching bibliographic databases with a focus on NLP efforts applied to clinical texts or aimed at a clinical ou...

Natural Language Processing (NLP) has emerged with a wide scope of research in the area. The Burmese language, also called the Myanmar Language is a resource scarce, tonal, analytical, syllable-timed and principally monosyllabic language with Subject-Object-Verb (SOV) ordering. NLP of Burmese language is also challenged by the fact that it has no white spaces and word boundaries. Keeping these ...

OBJECTIVE Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a natural language processing (NLP) tool, the KD-NLP, in the identification of emergency department (ED) patients for whom the diagnosis of KD should be considered. METHODS We developed an NLP tool that recognizes the KD diagnostic criteria based on s...

In this research note, we propose a classification method for identifying whether 501c3 nonprofit organization is considered essential economic recovery. During the first few months of COVID-19 pandemic, many organizations experienced negative financial effects from recession. While these nonprofits saw increased demand their services, weakness in overall economy led to decline donations. Fisca...

Electronic Health Records include health-related information, among which there is text mentioning health conditions and diagnoses. Usually, also coded using appropriate terminologies classifications. The act of coding time consuming prone to mistakes. Consequently, increasing demand for clinical mining tools help coding. In last few years Natural Language Processing (NLP) models has been shown...

This paper proposes a method to disentangle and quantify interactions among words that are encoded inside DNN for natural language processing. We construct tree encode salient extracted by the DNN. Six metrics proposed analyze properties of between constituents in sentence. The interaction is defined based on Shapley values words, which considered as an unbiased estimation word contributions ne...