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Automation of a problem list using natural language processing

Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making (2005)

BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...

OPENALEX cc-by DOI: https://doi.org/10.1186/1472-6947-5-30 PMC: 1208893

Natural Language Processing

Joydeep Bhattacharjee • Apress eBooks (2019)

In the previous chapters, we took a look at different machine learning algorithms and then we worked on how to work with data for those algorithms. Those data sets were largely tabular, and the individual values were either numerical or cat...

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-5121-8_5

Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science

Emily M. Bender, Batya Friedman • Transactions of the Association for Computational Linguistics (2018)

In this paper, we propose data statements as a design solution and professional practice for natural language processing technologists, in both research and development. Through the adoption and widespread use of data statements, the field ...

OPENALEX cc-by DOI: https://doi.org/10.1162/tacl_a_00041

Lexicography and natural language processing

Aleš Horák, Adam Rambousek • Routledge eBooks (2017)

The chapter introduces links between lexicography and natural language processing in both directions. First, how the lexicographic work benefits from techniques of natural language processing such as word sense disambiguation, semantic simi...

OPENALEX DOI: https://doi.org/10.4324/9781315104942-13

Natural Language Processing

Xavier Vasques • Wiley eBooks (2024)

This book chapter focuses on natural language processing (NLP) and covers various applications such as classifying messages as spam or ham, sentiment analysis, and the use of Bidirectional Encoder Representations from Transformers (BERT). T...

OPENALEX DOI: https://doi.org/10.1002/9781394220649.ch4

Forecasting student achievement in MOOCs with natural language processing

Carly D. Robinson, Michael Yeomans, Justin Reich, Chris S. Hulleman et al. • International Conference on Learning Analytics and Knowledge (LAK) (2016)

Student intention and motivation are among the strongest predictors of persistence and completion in Massive Open Online Courses (MOOCs), but these factors are typically measured through fixed-response items that constrain student expressio...

OPENALEX DOI: https://doi.org/10.1145/2883851.2883932

Natural Language Processing

Barry Walsh • Apress eBooks (2022)

Any book on operationalizing Artificial Intelligence today cannot ignore growth in Natural Language Processing (NLP), with market size projected to be $43b in 2025. Ostensibly the branch of AI concerned with programming computers to underst...

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-8817-7_10

Suicide Note Classification Using Natural Language Processing: A Content Analysis

John P Pestian, Henry A. Nasrallah, Paweł Matykiewicz, Aurora J. Bennett et al. • Biomedical Informatics Insights (2010)

Suicide is the second leading cause of death among 25-34 year olds and the third leading cause of death among 15-25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of r...

OPENALEX cc-by-nc DOI: https://doi.org/10.4137/bii.s4706 PMC: 3107011