Publications citing MIMIC-III Waveform Database v1.0

MIMIC-BP: A curated dataset for blood pressure estimation
Ivandro Sanches, Victor V. Gomes, Carlos Caetano et al. Scientific Data, 2024. Cites: paper

MMP-MSH: Multimodal Mortality Prediction Based on a Multilevel Semantic Hypergraph Network
Ke Niu, Ke Zhang, Yijie Pan et al. IEEE Transactions on Computational Social Systems, 2024. Cites: paper

Modeling Temporal Dynamics in Irregular ICU Data Using MWTA-LSTM
Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche. Lecture notes in computer science, 2024. Cites: paper

Automatic PDF Document Classification with Machine Learning
Sócrates Llácer Luna, Darío Garigliotti, Fernando Martínez‐Plumed et al. Lecture notes in computer science, 2024. Cites: paper

Using digital health technologies to optimise antimicrobial use globally
Timothy M. Rawson, Nina Zhu, Ronald M. Galiwango et al. The Lancet Digital Health, 2024. Cites: paper

A Comprehensive Survey on Dimension Reduction for Medical Big Data Using Optimization Algorithms
Diaa Salama AbdElminaam, Ahmed Abu Alheijat, Mohamed Taha. International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2024. Cites: paper

Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology
Michael Milne, Hassan K. Ahmad, Quinlan D. Buchlak et al. Minerva Cardiology and Angiology, 2024. Cites: paper

Machine learning for early dynamic prediction of functional outcome after stroke
Julian Klug, Guillaume Leclerc, Elisabeth Dirren et al. Communications Medicine, 2024. Cites: paper

Generalizable self-supervised learning for brain CTA in acute stroke
Yingjun Dong, Samiksha Pachade, Kirk E Roberts et al. Computers in Biology and Medicine, 2024. Cites: paper

MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction
Xiang Dai, Sarvnaz Karimi, Abeed Sarker et al. Journal of Biomedical Informatics, 2024. Cites: paper

On the assessment of the ability of measurements, nowcasts, and forecasts to track changes
Jonas Rieger, B. J. Liu, Bernd Saugel et al. BMC Medical Research Methodology, 2024. Cites: dataset, paper

A methodology for building a medical ontology a with a limited domain experts’ involvement
Sabrina Azzi. Research Square, 2024. Cites: paper

Improving CNN-Based Blood Pressure Estimation from PPG Data Through Multi-Window Prediction Averaging and Interval Classification
Akira Sakashita Worasawate, Apichart Intarapanich, Anongnat Khamkla. International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 2024. Cites: paper

A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability
Ryan King, Conrad Krueger, Ethan Veselka et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data
Ryan King, Shivesh Kodali, Conrad Krueger et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

Language Models for Fall Risk Assessment in Children With Cerebral Palsy Using Electronic Medical Records
Thasina Tabashum, Shou‐Jen Wang, Joseph J. Krzak et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

OncoNLP: Cancer Comprehend Annotation - a Pipeline for Cancer Phenotype and Clinical Extraction
Thanh Thi Duong, Thanh Thieu. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

Promises and pitfalls of artificial intelligence models in forecasting rheumatoid arthritis treatment response and outcomes
Augusto García-Agúndez, Gabriela Schmajuk, Jinoos Yazdany. Seminars in Arthritis and Rheumatism, 2024. Cites: paper

Accuracy of Point‐Of‐Care Cardiac Ultrasound Performed on Patients Admitted to a Pediatric Intensive Care Unit in Shock
Suhasini Chico, Seán Connolly, Jobayer Hossain et al. Journal of Clinical Ultrasound, 2024. Cites: paper

A Comparative Analysis on Deep Learning Approaches for Patient Data Privacy Using Electronic Health Record
Ritunsa Mishra, Rabinarayan Satpathy, Bibudhendu Pati. Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON), 2024. Cites: paper

Harnessing Medical Big Data: Integrating Computational Insights for Enhanced Patient Outcomes
Jafar Ali Ibrahim Syed Masood, Jai Kumar Vinayagam, Ranjit Kumar Onteru et al. International Conference on Digital Medicine and Image Processing (DMIP), 2024. Cites: paper

Artificial General Intelligence for Medical Imaging Analysis
Xiang Li, Lin Zhao, Lu Zhang et al. IEEE Reviews in Biomedical Engineering, 2024. Cites: paper

Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
Yanjun Gao, Ruizhe Li, Emma Croxford et al. JMIR AI, 2024. Cites: paper

One Third of Alcohol Use Disorder Diagnoses are Missed by ICD Coding
Laura Y. Mercurio, Augusto Garcia, Stephanie M. Ruest et al. Substance Use &amp Addiction Journal, 2024. Cites: paper

Assessing the Efficacy of ML Techniques for Forecasting Healthcare Consumer Readmission: A Comparative Analysis of Risk Factors and Healthcare Interventions
S Loganayagi, T. Suresh Balakrishnan, V.R. Vimal et al. International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG), 2024. Cites: paper

A Survey of Few-Shot Learning for Biomedical Time Series
Chenqi Li, Timothy Denison, Tingting Zhu. IEEE Reviews in Biomedical Engineering, 2024. Cites: paper

Automated real-world data integration improves cancer outcome prediction
Justin Jee, Christopher John Fong, Karl Pichotta et al. Nature, 2024. Cites: paper

Which Outcomes Should We be Using in Critical Care Nutrition Trials?
Naomi Watson, Saira Nazeer, Zudin Puthucheary. Critical Care Clinics, 2024. Cites: paper

A deep neural network model for classifying pharmacy practice publications into research domains
Samuel Olusegun Adeosun, Afua B. Faibille, Aisha N. Qadir et al. Research in Social and Administrative Pharmacy, 2024. Cites: paper

CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning
Shunpan Liang, Xiang Li, Shi Mu et al. Knowledge-Based Systems, 2024. Cites: paper

Enhancing Medical Image Classification with Unified Model Agnostic Computation and Explainable AI
Elie Neghawi, Yan Liu. AI, 2024. Cites: paper

BP3: Improving Cuff-less Blood Pressure Monitoring Performance by Fusing mmWave Pulse Wave Sensing and Physiological Factors
Zixin Zheng, Yumeng Liang, Rui Lyu et al. ACM Conference on Embedded Networked Sensor Systems (SenSys), 2024. Cites: paper

LCD benchmark: long clinical document benchmark on mortality prediction for language models
Wonjin Yoon, Shan Chen, Yanjun Gao et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

Advancements and Applications of Generative AI in Healthcare
Sandeep Chataut, Sirjana Bhatta, Bishwambhar Dahal et al. European Journal of Theoretical and Applied Sciences, 2024. Cites: paper

A skewed-Gaussian model for pulse decomposition analysis of photoplethysmography signals
Giulio Basso, Reinder Haakma, Rik Vullings. Physiological Measurement, 2024. Cites: dataset, paper

Design and Optimization of Privacy Protection Algorithms in Hospital Information Systems
Hong Chang, Xijie Dong. International Conference on Information Technologies and Electrical Engineering (ICITEE), 2024. Cites: paper

Developing healthcare language model embedding spaces
Niall Taylor, Daniel Schofield, Andrey Kormilitzin et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Examining NLP for Smarter, Data-Driven Healthcare Solutions
Nitesh Upadhyaya, Herat Joshi, Chetan Agrawal. Advances in medical technologies and clinical practice book series, 2024. Cites: paper

Generalized additive mixed model to evaluate the association between ventilatory ratio and mortality in patients: A retrospective cohort study
Hongjie Yu, Jie Gu, Dang Lin. Medicine, 2024. Cites: paper

A Novel ICD Coding Method Based on Associated and Hierarchical Code Description Distillation
Bin Zhang, Junli Wang. Lecture notes in computer science, 2024. Cites: paper

MANet: A Multiview Attention Network for Automatic ICD Coding
Hualei Shen, Haizhu Wang, Guoqing Shangguan et al. Lecture notes in computer science, 2024. Cites: paper

Personalized blood pressure estimation using multiview fusion information of wearable physiological signals and transfer learning
Jian Liu, Shuaicong Hu, Yanan Wang et al. Applied Soft Computing, 2024. Cites: paper

Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Kyungmo Kim, Seongkeun Park, Jeongwon Min et al. JMIR Medical Informatics, 2024. Cites: paper

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series
Debaditya Shome, Nasim Montazeri Ghahjaverestan, Ali Etemad. INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2024. Cites: paper

Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy
Avaneesh K. Singh, Krishna Kumar Sharma, Manish Kumar Bajpai et al. Applied Soft Computing, 2024. Cites: paper

SIMBA: Split Inference—Mechanisms, Benchmarks and Attacks
Abhishek Singh, Vivek Sharma, Rohan Sukumaran et al. Lecture notes in computer science, 2024. Cites: paper

HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer
Tinglin Huang, Syed Asad Rizvi, Rohan Krishna Thakur et al. Journal of Biomedical Informatics, 2024. Cites: paper

Hierarchical Deep Document Model
Yi Yang, John Patrick Lalor, Ahmed Abbasi et al. IEEE Transactions on Knowledge and Data Engineering, 2024. Cites: paper

Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: a multi-center study
Chengjian Guan, Angwei Gong, Yan Zhao et al. Critical Care, 2024. Cites: paper

Machine learning approaches toward an understanding of acute kidney injury: current trends and future directions
Inyong Jeong, Namjun Cho, Se-Jin Ahn et al. The Korean Journal of Internal Medicine, 2024. Cites: paper

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