AIME (1)

Publications

2024

Ben Kurzion, Chia-Hao Shih, Hong Xie, Xin Wang, Kevin S. Xu
Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. AIME (1) (2024)
Marina Andric, Mauro Dragoni, Francesco Ricci
Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction. AIME (1) (2024)
Joung Min Choi, Liqing Zhang
Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles. AIME (1) (2024)
András Millinghoffer, Mátyás Antal, Márk Marosi, András Formanek, András Antos, Péter Antal
Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients. AIME (1) (2024)
Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, Galina Velikova, Kate Absolom
Patient-Centric Approach for Utilising Machine Learning to Predict Health-Related Quality of Life Changes During Chemotherapy. AIME (1) (2024)
Po-Kuang Chen, Shih-Hsien Sung, Ling Chen
Applying Gaussian Mixture Model for Clustering Analysis of Emergency Room Patients Based on Intubation Status. AIME (1) (2024)
Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. AIME (1) (2024)
Beatriz López, David Galera, Abel López-Bermejo, Judit Bassols
Frequent Patterns of Childhood Overweight from Longitudinal Data on Parental and Early-Life of Infants Health. AIME (1) (2024)
Paulo Vitor de Campos Souza, Mauro Dragoni
Fuzzy Neural Network Model Based on Uni-Nullneuron in Extracting Knowledge About Risk Factors of Maternal Health. AIME (1) (2024)
Xiangru Chen, Milos Hauskrecht
Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. AIME (1) (2024)
Josip Grguric, Annette ten Teije, Frank van Harmelen
Evaluating the TMR Model for Multimorbidity Decision Support Using a Community-of-Practice Based Methodology. AIME (1) (2024)
Corinne G. Allaart, Marc X. Makkes, Lea Dijksman, Paul van der Nat, Douwe Biesma, Henri E. Bal, Aart van Halteren
Secure and Private Vertical Federated Learning for Predicting Personalized CVA Outcomes. AIME (1) (2024)
Brian D. Ondov, Dina Demner-Fushman
Sentence-Aligned Simplification of Biomedical Abstracts. AIME (1) (2024)
Ladislav Floris, Daniel Vasata
Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model. AIME (1) (2024)
Yaoqian Sun, Dan Wu, Zikang Chen, Hailing Cai, Jiye An
OptimalMEE: Optimizing Large Language Models for Medical Event Extraction Through Fine-Tuning and Post-hoc Verification. AIME (1) (2024)
Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. AIME (1) (2024)
Vishakha Sharma, Andreas Thalhammer, Amila Kugic, Stefan Schulz, Markus Kreuzthaler
Sequence-Model-Based Medication Extraction from Clinical Narratives in German. AIME (1) (2024)
Deepak Gupta, Dina Demner-Fushman
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking. AIME (1) (2024)
Ortal Hirszowicz, Dvir Aran
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis. AIME (1) (2024)
Paul Dubois, Paul-Henry Cournède, Nikos Paragios, Pascal Fenoglietto
Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. AIME (1) (2024)
Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester
Clinical Reasoning over Tabular Data and Text with Bayesian Networks. AIME (1) (2024)
Syed Hamail Hussain Zaidi, Amna Basharat, Muddassar Farooq
Mining Disease Progression Patterns for Advanced Disease Surveillance. AIME (1) (2024)
Saba Ghanbari Haez, Marina Segala, Patrizio Bellan, Simone Magnolini, Leonardo Sanna, Monica Consolandi, Mauro Dragoni
A Retrieval-Augmented Generation Strategy to Enhance Medical Chatbot Reliability. AIME (1) (2024)
Waheed Ahmed Abro, Hanane Kteich, Zied Bouraoui
Self-supervised Segment Contrastive Learning for Medical Document Representation. AIME (1) (2024)
Laurent Vouriot, Stanislas Rebaudet, Jean Gaudart, Raquel Ureña
Bayesian Neural Network to Predict Antibiotic Resistance. AIME (1) (2024)
Zhilin Lu, Jingming Liu, Ruihong Luo, Chunping Li
Reinforcement Learning with Balanced Clinical Reward for Sepsis Treatment. AIME (1) (2024)
Brian W. Locke, W. Wayne Richards, Jeanette P. Brown, Wanting Cui, Joseph Finkelstein, Krishna M. Sundar, Ramkiran Gouripeddi
Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record Data. AIME (1) (2024)
Regina Ofori-Boateng, Magaly Aceves-Martins, Nirmalie Wiratunga, Carlos Francisco Moreno-García
Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models. AIME (1) (2024)
Tobias Kropp, Shiva Faeghi, Kunibert Lennerts
Process Mining for Capacity Planning and Reconfiguration of a Logistics System to Enhance the Intra-Hospital Patient Transport. Case Study. AIME (1) (2024)
Tahsin Kazi, John Oakley, Anh Duong, El Arbi Belfasi, Katherine H. Ingram, Maria Valero
Advancements in Non-invasive AI-Powered Glucose Monitoring: Leveraging Multispectral Imaging Across Diverse Wavelengths. AIME (1) (2024)
Chia-Hsuan Chang, Mary M. Lucas, Yeawon Lee, Christopher C. Yang, Grace Lu-Yao
Beyond Self-consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging. AIME (1) (2024)
Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan
Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. AIME (1) (2024)
Chiara Dachena, Roberto Gatta, Mariachiara Savino, Stefania Orini, Nicola Acampora, M. Letizia Serra, Stefano Patarnello, Christian Barillaro, Carlotta Masciocchi
Prediction Modelling and Data Quality Assessment for Nursing Scale in a Big Hospital: A Proposal to Save Resources and Improve Data Quality. AIME (1) (2024)
Minakshi Debnath, Md Shahriar Kabir, Jianyuan Ni, Anne Hee Hiong Ngu
The Impact of Synthetic Data on Fall Detection Application. AIME (1) (2024)
Shiwei Lin, Shiqiang Tao, Yan Huang, Xiaojin Li, Guo-Qiang Zhang
Identifying Factors Associated with COVID-19 All-Cause 90-Day Readmission: Machine Learning Approaches. AIME (1) (2024)
Abrar S. Alrumayh, Chiu C. Tan
Improving Reminder Apps for Home Voice Assistants. AIME (1) (2024)
Bikram De, Mykhailo Sakevych, Vangelis Metsis
The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical Data. AIME (1) (2024)
Mohsen Nabian, Zahra Eftekhari, Chi Wah Wong
CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding. AIME (1) (2024)
Amila Kugic, Akhila Abdulnazar, Anto Knezovic, Stefan Schulz, Markus Kreuzthaler
Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World Data. AIME (1) (2024)
Xubing Hao, Rashmie Abeysinghe, Jay Shi, Licong Cui
Exploring Pre-trained Language Models for Vocabulary Alignment in the UMLS. AIME (1) (2024)

volume 14844, 2024

Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I AIME (1) 14844 (2024)