Health Data Science Track: Methods Theme

Topic: Natural Language Processing


Id 96: Title: Representation and Normalization of Complex Interventions for Evidence Computing (Z Chen, H Liu, S Liao, M Bernard, T Kang, LA Stewart, C Weng)

Id 101: Improving Keyword-Based Topic Classification in Cancer Patient Forums with Multilingual Transformers (TM Buonocore, E Parimbelli, L Sacchi, R Bellazzi, L Del Campo, S Quaglini)

Id 119: Does Enrichment of Clinical Texts by Ontology Concepts Increases Classification Accuracy? (K Denecke)

Id 134: Understanding public perceptions of measles from Twitter using multi-task convolutional neural networks (S Wang, J Du, L Tang, C Tao)

Id 143: AUTOMETA: Automatic Meta-Analysis System Employing Natural Language Processing (FW Mutinda, S Yada, S Wakamiya, E Aramaki)

Id 149: A Sample Size Extractor for RCT Reports (F Lin, H Liu, P Moon, C Weng)

Id 163: NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using (F Shah-Mohammadi, I Parvanova, J Finkelstein)

Id 305: Text Classification Model Explainability for Keyword Extraction – Towards Keyword- based Summarization of Nursing Care Episodes (A Reunamo, LM Peltonen, R Mustonen, M Saari, Tapio Salakoski, Sanna Salanterä, Hans Moen)

Id 309: Towards Automated Screening of Literature on Artificial Intelligence in Nursing (H Moen, D Alhuwail, J Björne, L Block, S Celin, E Jeon, K Kreiner, J Mitchell, G Ozegovic, CE Ronquillo, L Sequeira, J Tayaben, M Topaz, SPK Veeranki, LM Peltonen)

Student Papers

Id 192: Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in Taiwan (YQ Lee, BH Wang, CH Su, PT Chen, WQ Lin, CS Wu, HJ Dai)

Id 318: Review of the Performance Metrics for Natural Language Systems for Clinical Trials Matching (J Kim, Y Quintana)


Id 67: Sentiment Analysis of the Covid-19 Vaccines on Social Media (C Melton, O Olusanya, N Ammar, A Shaban-Nejad)

Id 137: t-SNE Visualization of Vector Pairs of Similar and Dissimilar Definition Sentences Created by Word2vec and Doc2vec in Japanese Medical Device Adverse Event Terminology (A Yagahara, M Uesugi, H Yokoi)

Id 179: Bottom-up Natural Language Processing based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology (G Despotou, I Korkontzelos, TN Arvanitis)

Id 249: A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI) (P Heider, R Pipaliya, S Meystre)

Id 303: Comparing Multiple Models for Section Header Classification with Feature Evaluation (R Pipaliya, S Meystre, P Heider)

Topic: Deep Learning

Student Papers

Id 51: Medical Workflow Design and Planning Using Node-RED Data Fusion (L Ewen, S Mohammed, A Kim)

Id 59: Comparison of Supervised and Self-supervised Deep Representations Trained on Histological Images (D Rymarczyk, A Borowa, A Bracha, M Chronowski, W Ozimek, B Zieliński)

Id 104: Augmentation of Electronic Medical Record Data for Deep Learning (G Kennedy, M Dras, B Gallego Luxan)

Id 280: The use of convolutional neural networks in the prediction of invasive ductal carcinoma in histological images of breast cancer (E Assis, Z do Patrocínio, C Nobre)


Id 111: Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks (J Lee, C Liu, C Ta, C Weng)

Topic: Data Visualisation

Student Paper

Id 42: Using Interactive Visual Analytics to Optimize Blood Products Inventory at a Blood Bank (J Rad, JG Quinn, C Cheng, R Liwski, S Abidi, SSR Abidi)


Id 37: COVID-19 geographical maps and Clinical Data Warehouse PREDIMED (S Artemova, A Caporossi, C Cancé, PE Madiot, B Nemoz, S Larrat, A Moreau-Gaudry, JL Bosson)

Id 91: A Method for Generating Dashboard Aggregations in an International HIV Consortium (J Lewis, E Brazier, B Katz, D Nash, S Duda)

Id 158: Application of business intelligence in decision support to hospital management: An ex- ample of outpatient clinic schedule arrangement (PC Hsu, WN Huang, KM Kuo, YT Yeh)

Topic: Simulation


Id 60: Validity of lognormal distribution in analyzing laboratory test values to quantitatively evaluate patient’s context of disease status (M Shiro, R Kagawa)

Id 284: Accuracies of Training Labels and Machine Learning Models: Experiments on Delirium and Simulated Data (Y Cheng)

Topic: Process Mining


Id 49: A qualitative method for learning medical expert reasoning (K Sedki, JB Lamy, R Tsopra)

Id 286: A multi-class approach for the automatic detection of Congestive Heart Failure in windowed ECG (G Rosa, M Russodivito, G Laudato, S Scalabrino, AR Colavita, R Oliveto)

Id 336: Using Data-driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records (L SHI, GP Shaeffer, N Muthu, Y Sun, VM Ruiz Herrera, R Tsui)

Student Paper

Id 315: Predictions of Academic Performance of Children and Adolescents with ADHD using the SHAP Approach (M Balbino, C Jandre, D de Miranda, C Nobre)

Topic: Data Cleansing


Id 98: “Book music” representation for temporal data, as a part of the feature extraction process: a novel approach to improve the handling of time-dependent data in secondary use of healthcare structured data. (E Chazard, P Balayé, T Balcaen, M Génin, M Cuggia, G Bouzille, A Lamer)

Student Paper

Id 39: Implementing predictive models within an electronic health record system: lessons from an external validation of a suicide risk model (L Sequeira, D McNair, D Wiljer, G Strudwick, V Deluca, K Kailasam, M Thompson, B Chou, J Strauss)