BMC Medical Informatics & Decision Making - Supplement, Volume 22-S

Volume 22-S, Number 1, July 2022

Selected articles from the Third International Workshop on Health Natural Language Processing (HealthNLP 2020)

• 
  Zitao Shen, Dalton Schutte, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang:
  Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision. 88
• 
  Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang:
  A conversational agent system for dietary supplements use. 153

Volume 22-S, Number 2, December 2022

Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM 2021): medical informatics and decision making

• 
  Jacqueline Peng, David Xu, Ryan Lee, Siwei Xu, Yunyun Zhou, Kai Wang:
  Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology. 147
• 
  Heng Tan, Jason H. T. Bates, C. Matthew Kinsey:
  Discriminating TB lung nodules from early lung cancers using deep learning. 161
• 
  Gaurav Rao, Vijay Mago, Pawan Lingras, David W. Savage:
  AEDNav: indoor navigation for locating automated external defibrillator. 159
• 
  David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan, Yufei Huang:
  On the role of deep learning model complexity in adversarial robustness for medical images. 160
• 
  James M. Havrilla, Anbumalar Singaravelu, Dennis M. Driscoll, Leonard Minkovsky, Ingo Helbig, Livija Medne, Kai Wang, Ian D. Krantz, Bimal R. Desai:
  PheNominal: an EHR-integrated web application for structured deep phenotyping at the point of care. 198
• 
  Yu Deng, Jennifer A. Pacheco, Anika S. Ghosh, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chad Dorn, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo:
  Natural language processing to identify lupus nephritis phenotype in electronic health records. 348

Volume 22-S, Number 3, September 2022

Selected articles from the Fourth International Workshop on Health Nature Language Processing (HealthNLP 2021)

• 
  Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu:
  Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. 255

Volume 22-S, Number 4, November 2022

Selected articles on Conceptual Modeling for Life Sciences (CMLS 2021 workshop and ER 2021 conference): medical informatics and decision making

• 
  Sara Balderas-Díaz, María José Rodríguez-Fórtiz, José Luis Garrido, Mercedes Bellido-González, Gabriel Guerrero-Contreras:
  A psycho-educational intervention programme for parents with SGA foetuses supported by an adaptive mHealth system: design, proof of concept and usability assessment. 291

Volume 22-S, Number 5, September 2022

Proceedings of the International Conference on Biomedical Engineering Innovation (ICBEI) 2019-2020: medical informatics and decision making (part 2)

• 
  Emilija Kostic, Ki-Young Kwak, Dongwook Kim:
  Changes in sensory, postural stability and gait functions depending on cognitive decline, and possible markers for detection of cognitive status. 252

Volume 22-S, Number 6, November 2022

Selected articles from the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021)

• 
  Fianne L. P. Sips, Francesco Pappalardo, Giulia Russo, Roberta Bursi:
  In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim. 294
• 
  Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani, Giuseppe Jurman:
  Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. 300
• 
  Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano, Barbara Di Camillo:
  Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. 346
• 
  Rahul Mondal, Minh Dung Do, Nasimuddin Ahmed, Daniel Walke, Daniel Micheel, David Broneske, Gunter Saake, Robert Heyer:
  Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets. 347
• 
  Amira Soliman, Jose Ramon Chang, Kobra Etminani, Stefan Byttner, Anette Davidsson, Begoña Martínez-Sanchis, Valle Camacho, Matteo Bauckneht, Roxana Stegeran, Marcus Ressner, Marc Agudelo-Cifuentes, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, Miguel Ochoa Figueroa:
  Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. 318