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ORCIDJournal of Healthcare Informatics Research, Volume 8
Volume 8, Number 1, March 2024
- Gabriel Cerono
, Ombretta Melaiu, Davide Chicco:
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme. 1-18 - Ronak Etemadpour, Sonali Shintree, A. Duke Shereen:
Brain Activity is Influenced by How High Dimensional Data are Represented: An EEG Study of Scatterplot Diagnostic (Scagnostics) Measures. 19-49 - Lindsey E. Scierka, Brooklyn A. Bradley, Earl F. Glynn, Sierra Davis, Mark Hoffman, Jade B. Tam-Williams, Carlos Mena-Hurtado, Kim G. Smolderen:
Chronic Cough: Characterizing and Quantifying Burden in Adults Using a Nationwide Electronic Health Records Database. 50-64 - Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Ian S. Painter, Vivienne Souter, Rich Caruana:
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes. 65-87 - Abdulrahman Aldkheel, Lina Zhou:
Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities. 88-120 - Ban Al-Sahab, Alan Leviton, Tobias Loddenkemper, Nigel Paneth, Bo Zhang:
Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview. 121-139 - Jangjay Sohn, Heean Shin, Joonnyong Lee, Hee Chan Kim:
Validation of Electrocardiogram Based Photoplethysmogram Generated Using U-Net Based Generative Adversarial Networks. 140-157 - Dinithi S. Vithanage, Ping Yu, Lei Wang, Chao Deng:
Contextual Word Embedding for Biomedical Knowledge Extraction: a Rapid Review and Case Study. 158-179
Volume 8, Number 2, June 2024
- Tongnian Wang, Kai Zhang, Jiannan Cai, Yanmin Gong, Kim-Kwang Raymond Choo, Yuanxiong Guo:
Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare. 181-205 - Jianping He, Fang Li, Jianfu Li, Xinyue Hu, Yi Nian, Yang Xiang, Jingqi Wang, Qiang Wei, Yiming Li, Hua Xu, Cui Tao:
Prompt Tuning in Biomedical Relation Extraction. 206-224 - Seha Ay, Michael Cardei, Anne-Marie Meyer, Wei Zhang, Umit Topaloglu:
Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm. 225-243 - Luigi Gargioni, Daniela Fogli, Pietro Baroni:
A Systematic Review on Pill and Medication Dispensers from a Human-Centered Perspective. 244-285 - Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan:
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction. 286-312 - Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William R. Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang:
Clinical Information Retrieval: A Literature Review. 313-352 - Ayush Singh, Saranya Krishnamoorthy, John E. Ortega:
NeighBERT: Medical Entity Linking Using Relation-Induced Dense Retrieval. 353-369 - Jonathan J. Harris, Mohammed J. Zaki:
Neural Models for Generating Natural Language Summaries from Temporal Personal Health Data. 370-399 - Francesca Da Ros, Luca Di Gaspero, Kevin Roitero, David La Barbera, Stefano Mizzaro, Vincenzo Della Mea, Francesca Valent, Laura Deroma:
Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region. 400-437 - Cathy Shyr, Yan Hu, Lisa Bastarache, Alex Cheng, Rizwan Hamid, Paul A. Harris, Hua Xu:
Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models. 438-461
Volume 8, Number 3, September 2024
- Shuang Yang, Xi Yang, Tianchen Lyu, James L. Huang, Aokun Chen, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yonghui Wu, Yi Guo, Jiang Bian:
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. 463-477 - Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng:
DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities. 478-505 - Cuong V. Nguyen, Hieu Minh Duong, Cuong D. Do:
MELEP: A Novel Predictive Measure of Transferability in Multi-label ECG Diagnosis. 506-522 - Daniel Schuster, Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst:
Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application. 523-554 - Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton:
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. 555-575
Volume 8, Number 4, December 2024
- Stavros Ntalampiras, Wen Qi:
Siamese Neural Network for Speech-Based Depression Classification and Severity Assessment. 577-593 - Adane Nega Tarekegn, Krzysztof Michalak, Giuseppe Costa, Fulvio Ricceri, Mario Giacobini:
Predicting Multiple Outcomes Associated with Frailty based on Imbalanced Multi-label Classification. 594-618 - Benny Wei-Yun Hsu, Vincent S. Tseng:
LightDPH: Lightweight Dual-Projection-Head Hierarchical Contrastive Learning for Skin Lesion Classification. 619-639 - Patrizia Vizza, Elena Succurro, Giuseppe Pozzi, Pietro Hiram Guzzi, Giuseppe Lucio Cascini, Giuseppe Tradigo, Pierangelo Veltri:
A Methodology to Measure Glucose Metabolism by Quantitative Analysis of PET Images. 640-657 - Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma:
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. 658-711
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