Designing Support to help Health Communication Professionals Convey Numbers Clearly to the Public - A Needs Assessment and Formative Usability Evaluation
AMIA Annu Symp Proc. 2024 Jan 11;2023:1277-1286. eCollection 2023.ABSTRACTCommunicating health-related probabilities to patients and the public presents challenges, although multiple studies have demonstrated that we can promote comprehension and appropriate application of numbers by matching presentation formats (e.g., percentage, bar charts, icon arrays) to communication goal (e.g., improving recall, decreasing worry, taking action). We used this literature to create goal-driven, evidence-based guidance to support health communicators in conveying probabilities. We then conducted semi-structured interviews with 39 health...
Source: AMIA Annual Symposium Proceedings - January 15, 2024 Category: Bioinformatics Authors: Uday Suresh Jessica S Ancker Brian J Zikmund-Fisher Natalie C Benda Source Type: research
Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach
In this study we evaluated the utility of LOINC DO by mapping clinical note titles collected from five institutions to the LOINC DO and classifying the mapping into three classes based on semantic similarity between note titles and LOINC DO codes. Additionally, we developed a standardization pipeline that automatically maps clinical note titles from multiple sites to suitable LOINC DO codes, without accessing the content of clinical notes. The pipeline can be initialized with different large language models, and we compared the performances between them. The results showed that our automated pipeline achieved an accuracy o...
Source: AMIA Annual Symposium Proceedings - January 15, 2024 Category: Bioinformatics Authors: Xu Zuo Yujia Zhou Jon Duke George Hripcsak Nigam Shah Juan M Banda Ruth Reeves Timothy Miller Lemuel R Waitman Karthik Natarajan Hua Xu Source Type: research
Effects of Porting Essie Tokenization and Normalization to Solr
AMIA Annu Symp Proc. 2024 Jan 11;2023:369-378. eCollection 2023.ABSTRACTSearch for information is now an integral part of healthcare. Searches are enabled by search engines whose objective is to efficiently retrieve the relevant information for the user query. When it comes to retrieving biomedical text and literature, Essie search engine developed at the National Library of Medicine (NLM) performs exceptionally well. However, Essie is a software system developed for NLM that has ceased development and support. On the other hand, Solr is a popular opensource enterprise search engine used by many of the world's largest inte...
Source: AMIA Annual Symposium Proceedings - January 15, 2024 Category: Bioinformatics Authors: Soumya Gayen Deepak Gupta Russell F Loane Nicholas C Ide Dina Demner-Fushman Source Type: research
Towards a Machine Learning Empowered Prognostic Model for Predicting Disease Progression for Amyotrophic Lateral Sclerosis
AMIA Annu Symp Proc. 2024 Jan 11;2023:718-725. eCollection 2023.ABSTRACTAmyotrophic lateral sclerosis (ALS) is a rare and devastating neurodegenerative disorder that is highly heterogeneous and invariably fatal. Due to the unpredictable nature of its progression, accurate tools and algorithms are needed to predict disease progression and improve patient care. To address this need, we developed and compared an extensive set of screener-learner machine learning models to accurately predict the ALS Function-Rating-Scale (ALSFRS) score reduction between 3 and 12 months, by paring 5 state-of-arts feature selection algorithms wi...
Source: AMIA Annual Symposium Proceedings - January 15, 2024 Category: Bioinformatics Authors: Hamza Turabieh Askar S Afshar Jeffery Statland Xing Song Pooled Resource Open-Access ALS Clinical Trials Consortium* Source Type: research
De-identifying Norwegian Clinical Text using Resources from Swedish and Danish
AMIA Annu Symp Proc. 2024 Jan 11;2023:456-464. eCollection 2023.ABSTRACTThe lack of relevant annotated datasets represents one key limitation in the application of Natural Language Processing techniques in a broad number of tasks, among them Protected Health Information (PHI) identification in Norwegian clinical text. In this work, the possibility of exploiting resources from Swedish, a very closely related language, to Norwegian is explored. The Swedish dataset is annotated with PHI information. Different processing and text augmentation techniques are evaluated, along with their impact in the final performance of the mod...
Source: AMIA Annual Symposium Proceedings - January 15, 2024 Category: Bioinformatics Authors: Anastasios Lamproudis Sara Mora Therese Olsen Svenning Torbj ørn Torsvik Taridzo Chomutare Phuong Dinh Ngo Hercules Dalianis Source Type: research
