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ORCIDJournal of Biomedical Informatics, Volume 141
Volume 141, May 2023
- Francesco Cremonesi
, Vincent Planat, Varvara Kalokyri, Haridimos Kondylakis, Tiziana Sanavia, Victor Miguel Mateos Resinas, Babita Singh, Silvia Uribe:
The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform. 104338
- Ayse Dogan, Yuxuan Li, Chiwetalu Peter Odo, Kalyani Sonawane, Ying Lin, Chenang Liu:
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention. 104342 - Tania Islam, Md. Rezanur Rahman, Asaduzzaman Khan, Mohammad Ali Moni:
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke. 104345 - Jake Vasilakes, Panagiotis Georgiadis, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou:
Contextualized medication event extraction with levitated markers. 104347
- Shyam Visweswaran, Yuan Luo, Mor Peleg:
Special issue on fairness and inclusion in biomedical informatics research: technical and social perspectives. 104348
- Brian Bartek, Sunny S. Lou, Thomas George Kannampallil:
Measuring the cognitive effort associated with task switching in routine EHR-based tasks. 104349 - Safa Rafiei Vand, Mohammad Hassan Moradi, Zahra Momayez Sanat, Hosein Asl Soleimani:
A fuzzy-based framework for diagnosing esophageal mobility disorder using high-resolution manometry. 104355
- Wei Liao, Joel Voldman:
A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research. 104356
- Rukiye Karakis, Kali Gürkahraman, Georgios D. Mitsis, Marie-Hélène Boudrias:
Deep learning prediction of motor performance in stroke individuals using neuroimaging data. 104357
- Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. 104358
- Alberto González-Pérez, Miguel Matey-Sanz, Carlos Granell, Laura Díaz-Sanahuja, Juana Bretón-López, Sven Casteleyn:
AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health. 104359 - Vimig Socrates, Aidan Gilson, Kevin Lopez, Ling Chi, Richard Andrew Taylor, David Chartash:
Predicting relations between SOAP note sections: The value of incorporating a clinical information model. 104360 - Yeong Chan Lee, Sang-Hyuk Jung, Aman Kumar, Injeong Shim, Minku Song, Min Seo Kim, Kyunga Kim, Woojae Myung, Woong-Yang Park, Hong-Hee Won:
ICD2Vec: Mathematical representation of diseases. 104361 - Jifan Gao, Shilu He, Junjie Hu, Guanhua Chen:
A hybrid system to understand the relations between assessments and plans in progress notes. 104363 - Hilla De-Leon, Dvir Aran:
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread. 104364 - Weitong Huang, Hanna Suominen, Tommy Liu, Gregory Rice, Carlos Salomon, Amanda S. Barnard:
Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis. 104365
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