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ORCIDJournal of Biomedical Informatics, Volume 113
Volume 113, January 2021
- Neville Kenneth Kitson, Anthony C. Constantinou:
Learning Bayesian networks from demographic and health survey data. 103588
- Stephen R. Pfohl
, Agata Foryciarz, Nigam H. Shah:
An empirical characterization of fair machine learning for clinical risk prediction. 103621
- Stefan Bruch, Lisa Ernst, Mareike Schulz, Leonie Zieglowski, René Tolba:
Best variable identification by means of data-mining and cooperative game theory. 103625 - Dmitriy Dligach, Majid Afshar, Timothy A. Miller:
Pre-training phenotyping classifiers. 103626
- Shahab Shamshirband, Mahdis Fathi, Abdollah Dehzangi, Anthony Theodore Chronopoulos, Hamid Alinejad-Rokny:
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues. 103627
- Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang, Zhiyuan Ma, Qi Ye, Ping He, Yangming Zhou:
From electronic health records to terminology base: A novel knowledge base enrichment approach. 103628 - Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen:
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction. 103631
- Moisés R. Pacheco-Lorenzo, Sonia Valladares-Rodríguez, Luis E. Anido-Rifón, Manuel J. Fernández-Iglesias:
Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review. 103632
- Mark S. Pfaff, Ozgur Eris, Charlene R. Weir, Amanda Anganes, Tina Crotty, Mohammad Rahman, Merry Ward, Jonathan R. Nebeker:
Analysis of the cognitive demands of electronic health record use. 103633 - Gianluca Truda, Patrick C. Marais:
Evaluating warfarin dosing models on multiple datasets with a novel software framework and evolutionary optimisation. 103634 - Zhiyun Ren, Bo Peng, Titus K. Schleyer, Xia Ning:
Hybrid collaborative filtering methods for recommending search terms to clinicians. 103635 - Bastian Pfeifer, Michael G. Schimek:
A hierarchical clustering and data fusion approach for disease subtype discovery. 103636 - Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah:
Language models are an effective representation learning technique for electronic health record data. 103637 - Saban Öztürk, Umut Özkaya:
Residual LSTM layered CNN for classification of gastrointestinal tract diseases. 103638 - Elliot G. Mitchell, Esteban G. Tabak, Matthew E. Levine, Lena Mamykina, David J. Albers:
Enabling personalized decision support with patient-generated data and attributable components. 103639 - Giovanni Paragliola, Antonio Coronato:
An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients. 103648 - Maxwell Salvatore, Lauren J. Beesley, Lars G. Fritsche, David A. Hanauer, Xu Shi, Alison M. Mondul, Celeste Leigh Pearce, Bhramar Mukherjee:
Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks. 103652 - Kaidi Gong, Hyo-Kyung Lee, Kaiye Yu, Xiaolei Xie, Jingshan Li:
A prediction and interpretation framework of acute kidney injury in critical care. 103653 - Rebecca A. Hubbard, Jinyu Xu, Robert Siegel, Yong Chen, Ihuoma Eneli:
Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis. 103654
- Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek:
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies. 103655
- Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin:
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. 103656 - Neil S. Zheng, Jeremy L. Warner, Travis J. Osterman, Quinn Stanton Wells, Xiao-Ou Shu, Stephen A. Deppen, Seth J. Karp, Shon Dwyer, QiPing Feng, Nancy J. Cox, Josh F. Peterson, C. Michael Stein, Dan M. Roden, Kevin B. Johnson, Wei-Qi Wei:
A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19. 103657
- William Brown III, Renu Balyan, Andrew J. Karter, Scott A. Crossley, Wagahta Semere, Nicholas D. Duran, Courtney R. Lyles, Jennifer Y. Liu, Howard H. Moffet, Ryane Daniels, Danielle S. McNamara, Dean Schillinger:
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE study. 103658
- Andrew Wen, Liwei Wang, Huan He, Sijia Liu, Sunyang Fu, Sunghwan Sohn, Jacob A. Kugel, Vinod C. Kaggal, Ming Huang, Yanshan Wang, Feichen Shen, Jungwei Fan, Hongfang Liu:
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. 103660
- Ghada Alfattni, Niels Peek, Goran Nenadic:
Corrigendum to "Extraction of temporal relations from clinical free text: A systematic review of current approaches" [J. Biomed. Inf. 108 (2020) 103488]. 103663
- Arturo López Pineda, Armin Pourshafeie, Alexander G. Ioannidis, Collin McCloskey Leibold, Avis L. Chan, Carlos D. Bustamante, Jennifer Frankovich, Genevieve L. Wojcik:
Discovering prescription patterns in pediatric acute-onset neuropsychiatric syndrome patients. 103664 - Timothy L. Chen, Max Emerling, Gunvant R. Chaudhari, Yeshwant Reddy Chillakuru, Youngho Seo, Thienkhai Vu, Jae Ho Sohn:
Domain specific word embeddings for natural language processing in radiology. 103665 - Luca Bonomi, Liyue Fan, Xiaoqian Jiang:
Noise-tolerant similarity search in temporal medical data. 103667
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