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会议文集


文集名Artificial Intelligence in Medicine
会议名22nd International Conference on Artificial Intelligence in Medicine (AIME 2024)
中译名《第二十二届国际医学人工智能会议，卷1》
机构Society for Artificial Intelligence in Medicine (AIME)
会议日期July 9-12, 2024
会议地点Salt Lake City, UT, USA
出版年2024
馆藏号353285


题名作者出版年
Applying Gaussian Mixture Model for Clustering Analysis of Emergency Room Patients Based on Intubation StatusPo-Kuang Chen; Shih-Hsien Sung; Ling Chen2024
Bayesian Neural Network to Predict Antibiotic ResistanceLaurent Vouriot; Stanislas Rebaudet; Jean Gaudart; Raquel Urena2024
Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-GradientsAndras Millinghoffer; Matyas Antal; Mark Marosi; Andras Formanek; Andras Antos; Peter Antal2024
Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record DataBrian W. Locke; W. Wayne Richards; Jeanette P. Brown; Wanting Cui; Joseph Finkelstein; Krishna M. Sundar; Ramkiran Gouripeddi2024
Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention MechanismsXiangru Chen; Milos Hauskrecht2024
Evaluating the TMR Model for Multimorbidity Decision Support Using a Community-of-Practice Based MethodologyJosip Grguric; Annette ten Teije; Frank van Harmelen2024
Frequent Patterns of Childhood Overweight from Longitudinal Data on Parental and Early-Life of Infants HealthBeatriz Lopez; David Galera; Abel Lopez-Bermejo; Judit Bassols2024
Fuzzy Neural Network Model Based on Uni-Nullneuron in Extracting Knowledge About Risk Factors of Maternal HealthPaulo Vitor de Campos Souza; Mauro Dragoni2024
Identifying Factors Associated with COVID-19 All-Cause 90-Day Readmission: Machine Learning ApproachesShiwei Lin; Shiqiang Tao; Yan Huang; Xiaojin Li; Guo-Qiang Zhang2024
Mining Disease Progression Patterns for Advanced Disease SurveillanceSyed Hamail Hussain Zaidi; Amna Basharat; Muddassar Farooq2024
Minimizing Survey Questions for PTSD Prediction Following Acute TraumaBen Kurzion; Chia-Hao Shih; Hong Xie; Xin Wang; Kevin S. Xu2024
Patient-Centric Approach for Utilising Machine Learning to Predict Health-Related Quality of Life Changes During ChemotherapyZuzanna Wojcik; Vania Dimitrova; Lorraine Warrington; Galina Velikova; Kate Absolom2024
Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational ModelLadislav Floris; Daniel Vasata2024
Prediction Modelling and Data Quality Assessment for Nursing Scale in a Big Hospital: A Proposal to Save Resources and Improve Data QualityChiara Dachena; Roberto Gatta; Mariachiara Savino; Stefania Orini; Nicola Acampora; M. Letizia Serra; Stefano Patarnello; Christian Barillaro; Carlotta Masciocchi2024
Process Mining for Capacity Planning and Reconfiguration of a Logistics System to Enhance the Intra-Hospital Patient Transport. Case StudyTobias Kropp; Shiva Faeghi; Kunibert Lennerts2024
Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement LearningPaul Dubois; Paul-Henry Cournede; Nikos Paragios; Pascal Fenoglietto2024
Reinforcement Learning with Balanced Clinical Reward for Sepsis TreatmentZhilin Lu; Jingming Liu; Ruihong Luo; Chunping Li2024
Secure and Private Vertical Federated Learning for Predicting Personalized CVA OutcomesCorinne G. Allaart; Marc X. Makkes; Lea Dijksman; Paul van der Nat; Douwe Biesma; Henri Bal; Aart van Halteren2024
Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World DataAmila Kugic; Akhila Abdulnazar; Anto Knezovic; Stefan Schulz; Markus Kreuzthaler2024
The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical DataBikram De; Mykhailo Sakevych; Vangelis Metsis2024
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