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ORCIDJournal of Biomedical Informatics, Volume 157
Volume 157, 2024
- Krishna Pothugunta, Xiao Liu, Anjana Susarla, Rema Padman:
Assessing inclusion and representativeness on digital platforms for health education: Evidence from YouTube. 104669 - Isabelle-Emmanuella Nogues, Jun Wen
, Yihan Zhao, Clara-Lea Bonzel, Victor M. Castro, Yucong Lin, Shike Xu, Jue Hou, Tianxi Cai:
Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records. 104685 - Keith Feldman, Natalie J. Kane, Stacey Daniels-Young, Bruce Reed, Jessica Welch, Lauren Fitzpatrick, Mark A. Hoffman, Andrea Bradley-Ewing, Elin Grundberg:
Utilization of geospatial distribution in the measurement of study cohort representativeness. 104687 - Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh:
A novel deep learning model based on transformer and cross modality attention for classification of sleep stages. 104689 - Yiwen Lu, Jiayi Tong, Jessica Chubak, Thomas Lumley, Rebecca A. Hubbard, Hua Xu, Yong Chen:
Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data. 104690 - Annie T. Chen, Claire E. Child, Mary Grace Asirot, Kimiko Domoto-Reilly, Anne M. Turner:
A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment. 104691 - Patricia Cabanillas Silva, Hong Sun, Pablo Rodríguez-Brazzarola, Mohamed Rezk, Xianchao Zhang, Janis Fliegenschmidt, Nikolai Hulde, Vera von Dossow, Laurent Meesseman, Kristof Depraetere, Ralph Szymanowsky, Jörg Stieg, Fried-Michael Dahlweid:
Evaluating gender bias in ML-based clinical risk prediction models: A study on multiple use cases at different hospitals. 104692 - Ashley C. Griffin, Karen H. Wang, Tiffany I. Leung, Julio C. Facelli:
Recommendations to promote fairness and inclusion in biomedical AI research and clinical use. 104693 - Sumei Yao, Yan Zhang, Jing Chen, Quan Lu, Zhiguang Zhao:
Enhancing identification performance of cognitive impairment high-risk based on a semi-supervised learning method. 104699 - Celia Álvarez-Romero, Máximo Bernabeu-Wittel, Carlos Luis Parra Calderón, Silvia Rodríguez-Mejías, Alicia Martinez-García:
Desiderata for discoverability and FAIR adoption of health data hubs. 104700 - Jingdong Yang, Han Wang, Peng Liu, Yuhang Lu, Minghui Yao, Haixia Yan:
Prediction of hypertension risk based on multiple feature fusion. 104701 - Andrew Liang:
Assessing gait dysfunction severity in Parkinson's Disease using 2-Stream Spatial-Temporal Neural Network. 104679 - Charlotte Zelin, Wendy K. Chung, Mederic Jeanne, Gongbo Zhang, Chunhua Weng:
Rare disease diagnosis using knowledge guided retrieval augmentation for ChatGPT. 104702 - Jiang Bian, Yifan Peng, Eneida A. Mendonça, Imon Banerjee, Hua Xu, Hong Sun, Ye Ye, Casey Overby Taylor, Anália Maria Garcia Lourenço, Alejandro Rodríguez González, Elena Tutubalina:
Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. 104703 - Rodrigo Bonacin, Elaine Barbosa de Figueiredo, Ferrucio de Franco Rosa, Júlio Cesar dos Reis, Mariangela Dametto:
The reuse of electronic health records information models in the oncology domain: Studies with the bioframe framework. 104704 - Yuqing Lei, Adam Christian Naj, Hua Xu, Ruowang Li, Yong Chen:
Balancing the efforts of chart review and gains in PRS prediction accuracy: An empirical study. 104705 - Boran Hao, Yang Hu, William G. Adams, Sabrina A. Assoumou, Heather Hsu, Nahid Bhadelia, Ioannis Ch. Paschalidis:
A GPT-based EHR modeling system for unsupervised novel disease detection. 104706 - Majid Afshar, Yanjun Gao, Deepak Gupta, Emma Croxford, Dina Demner-Fushman:
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models. 104707 - Lara J. Kanbar, Anagh Mishra, Alexander Osborn, Andrew Cifuentes, Jennifer Combs, Michael Sorter, Drew Barzman, Judith W. Dexheimer:
Investigation of bias in the automated assessment of school violence. 104709 - Tong Zhang, Shao-Wu Zhang, Ming-Yu Xie, Yan Li:
Identifying cooperating cancer driver genes in individual patients through hypergraph random walk. 104710 - Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein:
A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. 104711 - Yan Guo, Yongqiang Gao, Jiawei Song:
MolCFL: A personalized and privacy-preserving drug discovery framework based on generative clustered federated learning. 104712 - Yuefeng Ma, Xiaochen Mu, Tengfei Zhang, Yu Zhao:
MAFT-SO: A novel multi-atlas fusion template based on spatial overlap for ASD diagnosis. 104714 - Yuewei Xue, Shaopeng Guan, Wanhai Jia:
BGformer: An improved Informer model to enhance blood glucose prediction. 104715 - Hui Zong, Rongrong Wu, Jiaxue Cha, Weizhe Feng, Erman Wu, Jiakun Li, Aibin Shao, Liang Tao, Zuofeng Li, Buzhou Tang, Bairong Shen:
Advancing Chinese biomedical text mining with community challenges. 104716 - Bocheng Guo, Jiana Meng, Di Zhao, Xiangxing Jia, Yonghe Chu, Hongfei Lin:
Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. 104717 - Ziqi Zhang, Ailian Jiang:
Interactive dual-stream contrastive learning for radiology report generation. 104718 - Pengyuan Nie, Jinzhong Ning, Mengxuan Lin, Zhihao Yang, Lei Wang:
SSGU-CD: A combined semantic and structural information graph U-shaped network for document-level Chemical-Disease interaction extraction. 104719 - Hyeongmin Cho, Sooyoung Yoo, Borham Kim, Sowon Jang, Leonard Sunwoo, Sanghwan Kim, Donghyoung Lee, Seok Kim, Sejin Nam, Jin-Haeng Chung:
Extracting lung cancer staging descriptors from pathology reports: A generative language model approach. 104720 - Zhongwen Li, Yangyang Wang, Kuan Chen, Wei Qiang, Xihang Zong, Ke Ding, Shihong Wang, Shiqi Yin, Jiewei Jiang, Wei Chen:
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study. 104722
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