Cited by
MIMIC-III Clinical Database Demo (v1.4)
7975 publications cite any version of this project or its primary paper, newest first.
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Leveraging Temporal Trends for Training Contextual Word Embeddings to Address Bias in Biomedical Applications: Development Study
Shunit Agmon, Uriel Singer, Kira Radinsky. JMIR AI, 2024. Cites: paper -
The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative review
Benjamin Simon, Kutsev Bengisu Ozyoruk, David G. Gelikman et al. Diagnostic and Interventional Radiology, 2024. Cites: paper -
Demographic reporting in biosignal datasets: a comprehensive analysis of the PhysioNet open access database
Sarah Jiang, Perisa Ashar, Md Mobashir Hasan Shandhi et al. The Lancet Digital Health, 2024. Cites: paper -
Disambiguating Clinical Abbreviations by One-to-All Classification: Algorithm Development and Validation Study
Sheng‐Feng Sung, Ya‐Han Hu, Chong-Yan Chen. JMIR Medical Informatics, 2024. Cites: paper -
Estimation of Blood Calcium and Potassium Values from ECG Records
Sebahattin Babur, Sanam Moghaddamnia, Mehmet Recep Bozkurt. Measurement Science Review, 2024. Cites: paper -
On Logical Analysis of Transition Structure of Agents
Levon H. Aslanyan, Hasmik Sahakyan. Programming and Computer Software, 2024. Cites: paper -
Using Machine Learning and Electronic Health Records to Identify Neuropsychiatric Risk Scores for Delirium in ICU and General Hospital Settings
Mariam Heikal, Halim Saad, Pia Maria Ghanime et al. Neuropsychiatric Disease and Treatment, 2024. Cites: paper -
A Systematic Study on extraction of temporal relation from clinical Free Text
K B Vani, Lokesh M. R. International Journal of Computer Applications, 2024. Cites: paper -
Fair Machine Learning in Healthcare: A Survey
Qizhang Feng, Mengnan Du, Na Zou et al. IEEE Transactions on Artificial Intelligence, 2024. Cites: paper -
Model development for bespoke large language models for digital triage assistance in mental health care
Niall Taylor, Andrey Kormilitzin, Isabelle Lorge et al. Artificial Intelligence in Medicine, 2024. Cites: paper -
Revisiting Drug Recommendation From a Causal Perspective
Junjie Zhang, Xuan Zang, Hao Chen et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper -
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach
Hang Wu, Wenqi Shi, Anirudh Choudhary et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper -
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs
Prakash M. Adekkanattu, Al’ona Furmanchuk, Yonghui Wu et al. npj Digital Medicine, 2024. Cites: paper -
Automated stenosis detection in coronary artery disease using yolov9c: Enhanced efficiency and accuracy in real-time applications
Muhammet Akgül, Hasan İbrahim Kozan, Hasan Ali Akyürek et al. Journal of Real-Time Image Processing, 2024. Cites: paper -
Hospital Re-Admission Prediction Using Named Entity Recognition and Explainable Machine Learning
Safaâ Dafrallah, Moulay A. Akhloufi. Diagnostics, 2024. Cites: paper -
Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors
Paul R. Hibbing, Maryam Misal Khan. JMIR mhealth and uhealth, 2024. Cites: paper -
Transfer learning-enabled outcome prediction for guiding CRRT treatment of the pediatric patients with sepsis
Xiaoqing Li, Ruiquan Wang, Lianqiang Wu et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper -
Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review
Amila Kugic, Ingrid Martin, Luise Modersohn et al. Journal of Medical Internet Research, 2024. Cites: paper -
A survey on pragmatic processing techniques
Rui Mao, Mengshi Ge, Sooji Han et al. Information Fusion, 2024. Cites: paper -
Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study
Ravi Prakash, Matthew E. Dupre, Truls Østbye et al. JMIR Aging, 2024. Cites: paper -
PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets
Jaeyoung Kim, Sihyeon Lee, Hyeon Jeon et al. IEEE Transactions on Visualization and Computer Graphics, 2024. Cites: paper -
MGRN: toward robust drug recommendation via multi-view gating retrieval network
Fanjun Meng, Xiaobo Li, Xiaodi Hou et al. Bioinformatics, 2024. Cites: paper -
A review of machine learning methods for non-invasive blood pressure estimation
Ravi Pal, Joshua Le, Ákos Rudas et al. Journal of Clinical Monitoring and Computing, 2024. Cites: paper -
Data Quality, Bias, and Strategic Challenges in Reinforcement Learning for Healthcare: A Survey
Atta Ur Rahman, Bibi Saqia, Yousef S. Alsenani et al. International Journal of Data Informatics and Intelligent Computing, 2024. Cites: paper -
Developing large language models to detect adverse drug events in posts on x
Yu Deng, Yunzhao Xing, Jason Quach et al. Journal of Biopharmaceutical Statistics, 2024. Cites: paper -
Quantitative changes in platelet count in response to different pathogens: an analysis of patients with sepsis in both retrospective and prospective cohorts
Shao Fan, Ming Pang, Min Si et al. Annals of Medicine, 2024. Cites: paper -
A survey of deep causal models and their industrial applications
Zongyu Li, Zhenfeng Zhu, Xiaobo Guo et al. Artificial Intelligence Review, 2024. Cites: paper -
Leveraging foundation and large language models in medical artificial intelligence
Io Nam Wong, Olivia Monteiro, Daniel Tomas Baptista‐Hon et al. Chinese Medical Journal, 2024. Cites: paper -
Leveraging interpretable machine learning in intensive care
Lasse Bohlen, Julian Rosenberger, Patrick Zschech et al. Annals of Operations Research, 2024. Cites: paper -
Machine Learning-Based Predictions of Mortality and Readmission in Type 2 Diabetes Patients in the ICU
Tung-Lai Hu, Chuang-Min Chao, Chien-Chih Wu et al. Applied Sciences, 2024. Cites: paper -
PANDORA: An AI model for the automatic extraction of clinical unstructured data and clinical risk score implementation
Natalia Castano-Villegas, Isabella Llano, Daniel Jimenez et al. medRxiv, 2024. Cites: paper -
Data-driven drug treatment: enhancing clinical decision-making with SalpPSO-optimized GraphSAGE
G. L. Swathi Mirthika, B. Sivakumar, S. Hemalatha. Computer Methods in Biomechanics & Biomedical Engineering, 2024. Cites: paper -
Predicting ICU Readmission from Electronic Health Records via BERTopic with Long Short Term Memory Network Approach
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien et al. Journal of Clinical Medicine, 2024. Cites: paper -
FastRx: Exploring Fastformer and Memory-Augmented Graph Neural Networks for Personalized Medication Recommendations
Tai Tan Phan, Ling Chen, Chun-Hung Chen et al. ACM Transactions on Intelligent Systems and Technology, 2024. Cites: paper -
Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark
Katherine E. Link, Zane Schnurman, Chris Liu et al. Nature Communications, 2024. Cites: paper -
A paralleled CNN and Transformer network for PPG-based cuff-less blood pressure estimation
Zhonghe Tian, Aiping Liu, Guokang Zhu et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Criticality of Nursing Care for Patients With Alzheimer’s Disease in the ICU: Insights From MIMIC III Dataset
Zhou Yan, Quan Guo, Xue Jia-Hui. Clinical Nursing Research, 2024. Cites: paper -
DiffCNBP: Lightweight Diffusion Model for IoMT-Based Continuous Cuffless Blood Pressure Waveform Monitoring Using PPG
Chenbin Ma, Lishuang Guo, Haonan Zhang et al. IEEE Internet of Things Journal, 2024. Cites: paper -
On the development and validation of large language model-based classifiers for identifying social determinants of health
Rodney Allanigue Gabriel, Onkar Litake, Sierra Simpson et al. Proceedings of the National Academy of Sciences, 2024. Cites: paper -
Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle et al. Information Fusion, 2024. Cites: paper -
Continuous blood pressure monitoring based on transformer encoders and stacked attention gated recurrent units
Zhiwen Huang, Jiajie Shao, Panyu Zhou et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
A survey of demonstration learning
André Correia, Luı́s A. Alexandre. Robotics and Autonomous Systems, 2024. Cites: paper -
Performance comparison of machine learning algorithms for the estimation of blood pressure using photoplethysmography
Attilio Di Nisio, Luisa De Palma, Mattia Alessandro Ragolia et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
An open-source framework for end-to-end analysis of electronic health record data
Lukas Heumos, Philipp Ehmele, Tim Treis et al. Nature Medicine, 2024. Cites: paper -
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network
Liang Ye, Chonghui Guo, Hailin Li. Health Information Science and Systems, 2024. Cites: paper -
Assessing Bias in Self-supervised and Supervised Models for Temporal Data
Maria Liatsikou, Sofia Yfantidou, Athena I. Vakali. Hellenic Conference on Artificial Intelligence, 2024. Cites: paper -
Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs
Shuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya et al. PLoS ONE, 2024. Cites: paper -
Physiological Vital Time Series Forecasting using Fractional Calculus and Deep Neural Network
Sama Nemati, Seyed Amin Seyed Jafari, Mostafa Fakhri et al. Dermatology Journal of Cosmetic and Laser Therapy, 2024. Cites: paper -
Off-Policy Evaluation in Doubly Inhomogeneous Environments
Zeyu Bian, Chengchun Shi, Zhengling Qi et al. Journal of the American Statistical Association, 2024. Cites: paper -
Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model
Xintao Li, Sibei Liu. medRxiv, 2024. Cites: paper
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