Mining Electronic Health Records (EHRs): A Survey

Cited by (296)

Items 101–200 of 296

1. Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records
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2. The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis
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3. Forecasting Heart Disease Risk with a Stacking-Based Ensemble Machine Learning Method
   Yuanyuan Wu, Zhuomin Xia, Zikai Feng, Mengxing Huang, Huizhou Liu, Yu Zhang · 2024 · Electronics
4. Unleashing the Potential of Permissioned Blockchain: Addressing Privacy, Security, and Interoperability Concerns in Healthcare Data Management
   Md. Delowar Hossain, Quazi Mamun, Rafiqul Islam · 2024 · Electronics
5. Machine Learning for Feature Selection and Cluster Analysis in Drug Utilisation Research
   Sara Khalid, Daniel Prieto‐Alhambra · 2019 · Current Epidemiology Reports
6. From Sharing to Selling
   Mohamed A. Maher, Imtiaz Khan · 2022 · Blockchain in Healthcare Today
7. Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma
   Elizabeth A Campbell, Ellen J. Bass, Aaron J. Masino · 2020 · Journal of the American Medical Informatics Association
8. Development and Validation of a Bayesian Network‐Based Model for Predicting Coronary Heart Disease Risk From Electronic Health Records
   Xiaowen Suo, Xiaocheng Huang, Lu Zhong, Qingxin Luo, Lijie Ding, Fuzhong Xue · 2023 · Journal of the American Heart Association
9. Application of Systems Engineering Principles and Techniques in Biological Big Data Analytics: A Review
   Qiang He, Jin Wang · 2020 · Processes
10. A Novel Time-Aware Deep Learning Model Predicting Myopia in Children and Adolescents
    Ana Maria Varošanec, Leon Marković, Zdenko Sonicki · 2024 · Ophthalmology Science
11. Community pharmacy-led point-of-care testing (POCT): expanding roles and strengthening health systems in low- and middle-income countries (LMICs)
    Khaled Alshorman, Rabia Hussain · 2025 · Journal of Pharmaceutical Policy and Practice
12. Analysis and visualisation of electronic health records data to identify undiagnosed patients with rare genetic diseases
    Daniel Moynihan, Sean Monaco, Teck Wah Ting, Kaavya Narasimhalu, Jenny Yi Chen Hsieh, Sylvia Kam, Jiin Ying Lim, Weng Khong Lim, Sonia Dávila, Yasmin M. Bylstra et al. · 2024 · Scientific Reports
13. An Expert Hybrid Federated Learning and Trust Management for Security, Efficiency, and Power Optimization in Smart Health Systems
    Sohrab Khan, Nayab Imtiaz, Arnab Kumar Biswas, Zeeshan Bin Siddique, Qaisar Ali Khan · 2025 · IEEE Access
14. Clustering datasets with demographics and diagnosis codes
    Haodi Zhong, Grigorios Loukides, Robert Gwadera · 2020 · Journal of Biomedical Informatics
15. Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software
    Xingran Chen, Zhenke Wu, Xu Shi, Hyunghoon Cho, Bhramar Mukherjee · 2025 · Journal of the American Medical Informatics Association
16. Multi-disease Predictive Analytics: A Clinical Knowledge-aware Approach
    Lin Qiu, Sruthi Gorantla, Vaibhav Rajan, Bernard C. Y. Tan · 2021 · ACM Transactions on Management Information Systems
17. Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records
    Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao · 2023 · ACM International Conference on Information and Knowledge Management (CIKM)
18. Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier
    Elizabeth A. Campbell, Saurav Bose, Aaron J. Masino · 2024 · PLOS Digital Health
19. A Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications
    Jyotsana Dwivedi, Shubhi Kaushal, Pranay Wal, Darshan Jogi Chandrashekhar, Ankita Sharma, Deepak Nathiya, Amin Gasmi · 2025 · Current Drug Metabolism
20. Classification of Alzheimer's Disease Stages Through Volumetric Analysis of MRI Data
    Ruchika Das, Shobhanjana Kalita · 2022 · IEEE Calcutta Conference (CALCON)
21. A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data
    Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, KEVIN A. PETERSON, Vipin Kumar, Pedro J. Caraballo, György Simon · 2021 · IEEE Journal of Biomedical and Health Informatics
22. Optimal sampling for design‐based estimators of regression models
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23. CD-Tron: Leveraging Large Clinical Language Model for Early Detection of Cognitive Decline from Electronic Health Records
    Hao Guan, John Novoa-Laurentiev, Li Zhou · 2024 · Journal of Biomedical Informatics
24. Unifying Diagnosis Identification and Prediction Method Embedding the Disease Ontology Structure From Electronic Medical Records
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25. Strategies of Predictive Schemes and Clinical Diagnosis for Prognosis Using MIMIC-III: A Systematic Review
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26. An intelligent data-driven model for disease diagnosis based on machine learning theory
    He Huang, Wei Gao, Chunming Ye · 2019 · Journal of Combinatorial Optimization
27. Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness
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28. Using routinely collected clinical data for circadian medicine: A review of opportunities and challenges
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29. Comparing neural language models for medical concept representation and patient trajectory prediction
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30. Mining Typical Treatment Duration Patterns for Rational Drug Use from Electronic Medical Records
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31. Electronic Health Records Exploitation Using Artificial Intelligence Techniques
    Carla Guerra-Tort, Vanessa Aguiar‐Pulido, Victoria Suárez-Ulloa, Francisco Docampo Boedo, José Manuel López Gestal, Javier Pereira · 2020 · XoveTIC Conference (XoveTIC)
32. An interpretable outcome prediction model based on electronic health records and hierarchical attention
    Juan Du, Dajian Zeng, Zhao Li, Jingxuan Liu, Mingqi Lv, Ling Chen, Dan Zhang, Shouling Ji · 2021 · International Journal of Intelligent Systems
33. MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction
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34. LLM-Based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs
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35. PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature
    Samar Binkheder, Heng‐Yi Wu, Sara K. Quinney, Shijun Zhang, Md Muntasir Zitu, Chien‐Wei Chiang, Lei Wang, Josette Jones, Lang Li · 2022 · Journal of Biomedical Semantics
36. Multiple Graph Kernel Fusion Prediction of Drug Prescription
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37. Modeling Irregularly Sampled Clinical Time Series
    Satya Narayan Shukla, Benjamin M. Marlin · 2018 · arXiv (Cornell University)
38. Big data analytics in the field of multifaceted analyses: A study on “health care management”
    Rakibul Hasan Chowdhury · 2024 · World Journal of Advanced Research and Reviews
39. Multi-perspective patient representation learning for disease prediction on electronic health records
    Ziyue Yu, Jiayi Wang, Wuman Luo, Rita T. Tse, Giovanni Pau · 2024 · Knowledge and Information Systems
40. Understanding patterns of loneliness in older long-term care users using natural language processing with free text case notes
    Sam Rickman, José‐Luis Fernández, Juliette Malley · 2025 · PLoS ONE
41. An Interpretable Data-Driven Medical Knowledge Discovery Pipeline Based on Artificial Intelligence
    Shaobo Wang, Xinhui Du, Guangliang Liu, Hang Xing, Zengtao Jiao, Jun Yan, Youjun Liu, Haichen Lv, Yunlong Xia · 2023 · IEEE Journal of Biomedical and Health Informatics
42. Predicting Adverse Outcomes for Febrile Patients in the Emergency Department Using Sparse Laboratory Data: Development of a Time Adaptive Model
    Sungjoo Lee, Sungjun Hong, Won Chul Cha, Kyunga Kim · 2019 · JMIR Medical Informatics
43. quEHRy: a question answering system to query electronic health records
    Sarvesh Soni, Surabhi Datta, Kirk E Roberts · 2023 · Journal of the American Medical Informatics Association
44. Using Unstructured Data to Improve the Continuous Planning of Critical Processes Involving Humans
    Colin Paterson, Radu Călinescu, Suresh Manandhar, Di Wang · 2019 · International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
45. Clustering Demographics and Sequences of Diagnosis Codes
    Haodi Zhong, Grigorios Loukides, Solon P. Pissis · 2021 · IEEE Journal of Biomedical and Health Informatics
46. Time interval uncertainty-aware and text-enhanced based disease prediction
    Dan Yang Zhao, Yuliang Shi, Lin Cheng, Hui Li, Liguo Zhang, Hongmei Guo · 2022 · Journal of Biomedical Informatics
47. Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes
    Menglu Wang, Guangjian Liu, Zhennan Ni, Qianjun Yang, Xiaojun Li, Zhisheng Bi · 2024 · BMC Medical Informatics and Decision Making
48. Revolutionizing patient care: The synergy of IoT and machine learning in smart healthcare
    Harshal A. Sanghvi, Divya Gangwani, Ali A. Mohamed, Pranshav Gajjar, Om Prakash Patel, Abhijit S. Pandya · 2024 · Advances in computers
49. Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects
    Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György Simon · 2019 · IEEE International Conference on Big Data (BigData)
50. Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data
    Seok-Ju Hahn, Junghye Lee · 2019 · arXiv (Cornell University)
51. Prediction of Disease Using Machine Learning Algorithms
    Annu Dhankhar, Shashank Jain · 2021
52. The Impact of Big Data Analytics on Health Care: A Systematic Review
    Iman A. Akour, Said Abdelrahim Salloum · 2024 · Research Square
53. A Patient-Centric EHR Management System using Ethereum Blockchain
    Naveen Kumar Pandit, Swatisipra Das, Chandan Kumar Panda · 2024 · IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)
54. Decision Support System on Determination of Contraception Tools as an Effort to Suppress the Number of Growth Ratios in Indonesia
    Agus Perdana Windarto, Tutut Herawan · 2021 · Lecture notes in electrical engineering
55. Rethinking Importance Weighting for Transfer Learning
    Nan Lu, Tianyi Zhang, Tongtong Fang, Takeshi Teshima, Masashi Sugiyama · 2022 · Adaptation, learning, and optimization
56. ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics
    Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao · 2022 · IEEE International Conference on Data Engineering (ICDE)
57. Risk Classification and Subphenotyping of Acute Kidney Injury: Concepts and Methodologies
    Javier A. Neyra, Jin Chen, Sean M. Bagshaw, Jay L. Koyner · 2022 · Seminars in Nephrology
58. MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction
    Bo Li, Yuliang Shi, Lin Cheng, Zhongmin Yan, Xinjun Wang, Hui Li · 2022 · International Joint Conference on Neural Networks (IJCNN)
59. Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases
    Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, Zeyi Sun · 2020 · Applied Intelligence
60. PALLM: Evaluating and Enhancing Palliative Care Conversations with Large Language Models
    Zhiyuan Wang, Fangxu Yuan, Virginia Townsend LeBaron, Tabor Flickinger, Laura E. Barnes · 2025 · ACM Transactions on Computing for Healthcare
61. DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series
    Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme · 2022 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
62. Detection of outlying patterns from sparse and irregularly sampled electronic health records data
    Xiaokang Wang, Chengjian Li, Hao Shi, Congshan Wu, Chao Liu · 2023 · Engineering Applications of Artificial Intelligence
63. Big Data Interoperability in e-Health Systems
    Nidhi Gupta, Bharat Gupta · 2019 · International Conference on Cloud Computing, Data Science & Engineering (Confluence)
64. ImputeRNN: Imputing Missing Values in Electronic Medical Records
    Jiawei Ouyang, Yuhao Zhang, Xiangrui Cai, Ying Zhang, Xiaojie Yuan · 2021 · Lecture notes in computer science
65. MSIPA: Multi-Scale Interval Pattern-Aware Network for ICU Transfer Prediction
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66. A Survey on Knowledge Enhanced EHR Data Mining
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67. A novel method for handling Missing Not at Random Data in the electronic health records
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68. Inferring actual treatment pathways from patient records
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69. Predicting Adverse Drug Effects from Literature- and Database-Mined Assertions
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70. Med-Tree: A Medical Ontology Tree Combined with the Graph Attention Networks for Medication Recommendation
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71. A Hybrid Approach for Irregular-Time Series Prediction Using Electronic Health Records: An Intensive Care Unit Mortality Case Study
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72. Communicating Electronic Adherence Data to Physicians—Consensus-Based Development of a Compact Reporting Form
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73. Ontology-Based IoT Healthcare Systems (IHS) for Senior Citizens
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74. Explaining predictive factors in patient pathways using autoencoders
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75. Health Data Analytics: Frameworks, Tools, and Impact on the Administration Efficiency and Performance in Healthcare
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76. Mining Typical Drug Use Patterns Based on Patient Similarity from Electronic Medical Records
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77. Optimization of the organizational structure in hospitals to account for patients with multiple diseases
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78. Sparsity-Invariant Convolution for Forecasting Irregularly Sampled Time Series
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79. Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers
    Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia · 2023 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
80. Do Electronic Health Records support the complex needs of people with disability?
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81. A Personalized Cancer Diagnosis using Machine Learning Models Based on Big Data
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82. Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure
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83. Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series.
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84. Data Organisation for Efficient Pattern Retrieval: Indexing, Storage, and Access Structures
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85. Robust extraction of pneumonia-associated clinical states from electronic health records
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86. Using Large Language Models for Medical Diagnosis: A Survey and Future Trends
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87. Zero-shot learning for clinical phenotyping: Comparing LLMs and rule-based methods
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88. Natural Language Processing and Machine Learning for Analysis of Radiology Reports: A Systematic Review
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89. Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models
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90. A Storage as a Service scheme for supporting Medical Services on 5G Vehicular Networks
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91. RETRACTED ARTICLE: Analysis of Electronic Health Records Based on Deep Learning with Natural Language Processing
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92. Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
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93. Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network
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94. IoT Performability for Medical Wearable Device by Data Privacy and Fault Tolerance
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95. Similarity Search and Correlation-Based Exploratory Analysis in EHRs: A Case Study with COVID-19 Databases
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98. CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
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99. Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
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100. Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time
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