國立中央大學教師履歷平台

期刊著作

• Combining multiple data resampling methods and classifier ensembles for better financial distress prediction: homogeneous and heterogeneous approaches
  Annals of Operations Research, 353, 2, 793-814, 2025-10-01
  [ Class imbalance learning,Classifier ensemble,Data re-sampling,Data science,Financial distress prediction ]

• Leveraging meta-path and co-attention to model consumer preference stability in fashion recommendations
  Decision Support Systems, 194, 2025-07-01
  [ Attention mechanism,Metapath,Outfit recommendations,Preference stability ]

• A novel hotel recommender system incorporating review sentiment and contextual information
  International Journal of Data Science and Analytics, 19, 3, 573-584, 2025-04-01
  [ Collaborative filtering,Contextual information,Hotel recommendations,Recommender systems,Sentiment analysis ]

• Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques
  Applied Artificial Intelligence, 39, 1, 2025-01-01

• Predicting the churn patterns of monetizers and non-monetizers: exploring the influence of behavioral variability in churn prediction
  Internet Research, 2025-01-01
  [ Behavioral variability,Churn management,Churn prediction,Machine learning,Monetizers and non-monetizers,Social casino games,Within-person variability ]

• A Framework for Measuring and Predicting Customer Lifetime Value: A Case Study for Online Game Industry
  IET Conference Proceedings, 2025, 8, 8-13, 2025-01-01

• Multimodal Multitask Learning for Predicting Depression Severity and Suicide Risk Using Pretrained Audio and Text Embeddings: Methodology Development and Application
  JMIR Medical Informatics, 13, 2025-01-01
  [ AI,algorithms,artificial intelligence,deep learning,depressed,depression,depression severity,depressive disorder,early detection,machine learning,major depressive disorder,MDD,mental disorders,mental health,mental illnesses,ML,multimodal learning,multitask learning,predictive analytics,predictive models,suicide risk,transfer learning ]

• An Intelligent Trial Eligibility Screening Tool Using Natural Language Processing With a Block-Based Visual Programming Interface: Development and Usability Study
  JMIR Medical Informatics, 13, 2025-01-01
  [ block-based visual programming,clinical decision support,clinical trials,electronic medical records,eligibility screening,natural language processing,patient safety ]

• A novel MissForest-based missing values imputation approach with recursive feature elimination in medical applications
  BMC Medical Research Methodology, 24, 1, 2024-12-01
  [ Feature selection,Medical datasets,MissForest,Missing value imputation,Recursive feature elimination ]

• Disambiguate Clinical Abbreviation by One-to-all Classification: Algorithm Development and Validation Study
  JMIR Medical Informatics, 2024-09-01
  [ word sense disambiguation; electronic medical records; abbreviation expansion; text mining ]

• The effect of review visibility and diagnosticity on review helpfulness – An accessibility-diagnosticity theory perspective
  Decision Support Systems, 178, 2024-03-01
  [ Accessibility-diagnosticity theory,eWOM,Review helpfulness,Review visibility ]

• Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care
  CIN - Computers Informatics Nursing, 42, 1, 35-43, 2024-01-01
  [ Clinical decision-making,Emergency medicine,Machine learning,Rapid Triage and Prediction Assistance Model,Triage ]

• Disambiguating Clinical Abbreviations by One-to-All Classification: Algorithm Development and Validation Study
  JMIR Medical Informatics, 12, 2024-01-01
  [ abbreviation expansion,electronic medical records,natural language processing,text mining,word sense disambiguation ]

• An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques
  PLoS ONE, 18, 6 June, 2023-06-01

• Integrating Fuzzy Multiobjective Programming and System Dynamics to Develop an Approach for Talent Retention Policy Selection: Case on Health-Care Industry
  Journal of Healthcare Engineering, 2023, 2023-01-01

• Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing
  Frontiers in Cardiovascular Medicine, 9, 2022-07-29
  [ atrial fibrillation,electronic health records,ischemic stroke,natural language processing,prediction ]

• A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction
  Expert Systems with Applications, 192, 2022-04-15
  [ Class imbalance,Data mining,Dynamic time warping,Machine learning,Missing value imputation ]

• Empirical comparison of supervised learning techniques for missing value imputation
  Knowledge and Information Systems, 64, 4, 1047-1075, 2022-04-01

• Predicting the Risk of Future Multiple Suicide Attempt among First-Time Suicide Attempters: Implications for Suicide Prevention Policy
  Healthcare (Switzerland), 10, 4, 2022-04-01

• Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study
  JMIR Medical Informatics, 10, 2, 2022-02-01

• An investigation of solutions for handling incomplete online review datasets with missing values
  Journal of Experimental and Theoretical Artificial Intelligence, 34, 6, 971-987, 2022-01-01
  [ data mining,incomplete datasets,missing values,Online reviews ]

• Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke
  Journal of the American Heart Association, 10, 24, 2021-10-21
  [ acute ischemic stroke,machine learning,natural language processing,outcome prediction,risk score ]

• A Machine Learning-Based Fall Risk Assessment Model for Inpatients
  CIN - Computers Informatics Nursing, 39, 8, 450-459, 2021-08-01
  [ Classification,Fall Risk assessment,Inpatient fall,Machine learning ]

• Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning
  International Journal of Medical Informatics, 152, 2021-08-01
  [ Acute stroke,Clinical decision support,Emergency department,Triage ]

• 運用資料探勘技術預測分析持續互動性高之粉絲團：以臉書醫療健康粉絲團為例
  電子商務學報, 23, 1, 71-95, 2021-06-30
  [ 粉絲團,診所,資料探勘 ]

• Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction
  Journal of Business Research, 130, 200-209, 2021-06-01
  [ Data mining,Ensemble learning,Feature selection,Financial distress prediction,Instance selection ]

• Improving text summarization of online hotel reviews with review helpfulness and sentiment
  Tourism Management, 80, 2020-10-01
  [ Helpful review selection , Online hotel reviews , Sentiment analysis , Text summarization , TripAdvisor ]

• EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques
  IEEE Journal of Biomedical and Health Informatics, 24, 10, 2922-2931, 2020-10-01
  [ Classification algorithm,clinical diagnosis,electronic medical records,machine learning,natural language processing,text mining ]

• A machine learning approach to predicting readmission or mortality in patients hospitalized for stroke or transient ischemic attack
  Applied Sciences (Switzerland), 10, 18, 2020-09-01
  [ Machine learning,Prediction models,Readmission,Risk assessment,Stroke ]

• Machine learning in high-alert medication treatment: A study on the cardiovascular drug
  Applied Sciences (Switzerland), 10, 17, 2020-09-01
  [ Adverse drug events,Cardiovascular drug,Decision tree,High-alert medication,Machine learning ]

• Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques
  CIN - Computers Informatics Nursing, 38, 8, 415-423, 2020-08-01
  [ Classification technique,Inpatient pressure injury,Machine learning,Pressure injury risk assessment ]

• Integrating feature and instance selection techniques in opinion mining
  International Journal of Data Warehousing and Mining, 16, 3, 168-182, 2020-07-01
  [ Feature Selection , Instance Selection , Opinion Mining , Text Classification ]

• Two decades of research using Taiwan's national health insurance claims data: Bibliometric and text mining analysis on PubMed
  Journal of Medical Internet Research, 22, 6, 2020-06-01
  [ Administrative claims data,Bibliometric analysis,National Health Insurance,Open access journals,PubMed,Text mining ]

• Critical predictors for the early detection of conversion from unipolar major depressive disorder to bipolar disorder: Nationwide population-based retrospective cohort study
  JMIR Medical Informatics, 8, 4, 2020-04-01

• Identification of highly-cited papers using topic-model-based and bibliometric features: The consideration of keyword popularity
  Journal of Informetrics, 14, 1, 2020-02-01
  [ binary classification , highly-cited papers , keyword popularity , supervised learning , topic model ]

• Determinants of use of long-term continuous electrocardiographic monitoring for acute ischemic stroke patients without atrial fibrillation at baseline
  Current Neurovascular Research, 17, 3, 224-231, 2020-01-01
  [ Acute ischemic stroke,Atrial fibrillation,Cardiac rhythm,CART analyses,Classification and regression tree analyses,Hypertension ]

• Under-sampling class imbalanced datasets by combining clustering analysis and instance selection
  Information Sciences, 477, 47-54, 2019-03-01
  [ Class imbalance , Clustering , Data mining , Ensemble classifiers , Instance selection ]

• High risk of one-year stroke recurrence in patients with younger age and prior history of ischemic stroke
  Current Neurovascular Research, 16, 3, 250-257, 2019-01-01

• Prediction model of early return to hospital after discharge following acute ischemic stroke
  Current Neurovascular Research, 16, 4, 348-357, 2019-01-01

• Considering online consumer reviews to predict movie box-office performance between the years 2009 and 2014 in the US
  Electronic Library, 36, 6, 1010-1026, 2018-12-10
  [ Box-office predictions , IMDb , Machine learning , Online consumer reviews , Online reviews ]

• Prediction of preoperative blood preparation for orthopedic surgery patients: A supervised learning approach
  Applied Sciences (Switzerland), 8, 9, 2018-09-05
  [ Blood transfusion prediction , Data mining , Feature selection , Orthopedic surgery , Supervised learning techniques ]

• Risk stratification for the early diagnosis of borderline personality disorder using psychiatric co-morbidities
  Early Intervention in Psychiatry, 12, 4, 605-612, 2018-08-01

• Predicting the failure of dental implants using supervised learning techniques
  Applied Sciences (Switzerland), 8, 5, 2018-05-02
  [ Artificial dental implant surgery , Data mining , Dental implant failure , Supervised learning techniques ]

• Assessing the helpfulness of online hotel reviews: A classification-based approach
  Telematics and Informatics, 35, 2, 436-445, 2018-05-01
  [ Classification , Online hotel review , Review helpfulness , Sentiment analysis ]

• Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study
  International Journal of Medical Informatics, 112, 149-157, 2018-04-01

• Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach
  Journal of Healthcare Engineering, 2018, 2018-01-01

• Predicting the prolonged length of stay of general surgery patients: a supervised learning approach
  International Transactions in Operational Research, 25, 1, 75-90, 2018-01-01
  [ length of stay , physician patient communications , prediction , supervised learning , surgery , urgent surgery ]

• Clustering-based undersampling in class-imbalanced data
  Information Sciences, 409-410, 17-26, 2017-10-01
  [ Class imbalance , Classifier ensembles , Clustering , Imbalanced data , Machine learning ]

• The effect of user-controllable filters on the prediction of online hotel reviews
  Information and Management, 54, 6, 728-744, 2017-09-01
  [ Electronic word of mouth (eWOM) , Online hotel review , Prediction , Review extremity , Review helpfulness , Sentiment analysis ]

• Predicting return visits to the emergency department for pediatric patients: Applying supervised learning techniques to the Taiwan National Health Insurance Research Database
  Computer Methods and Programs in Biomedicine, 144, 105-112, 2017-06-01
  [ Data mining , Emergency department , NHIRD , Pediatric emergency care , Return visit ]

• Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression
  Journal of Medical Systems, 41, 5, 2017-05-01
  [ Chronic kidney disease , Data mining , Delay progression , Temporal abstraction , Time-series data ]

• Soft estimation by hierarchical classification and regression
  Neurocomputing, 234, 27-37, 2017-04-19
  [ Classification , Data mining , Hierarchical estimation , Prediction , Regression ]

• Opinion mining from online hotel reviews – A text summarization approach
  Information Processing and Management, 53, 2, 436-449, 2017-03-01
  [ k-medoids , Multi-text summarization , Online hotel review , Sentence clustering , Sentiment analysis ]

• Stroke severity may predict causes of readmission within one year in patients with first ischemic stroke event
  Journal of the Neurological Sciences, 372, 21-27, 2017-01-15

• Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database
  BMC Medical Informatics and Decision Making, 17, 1, 1-10, 2017-01-11

• Validation of a novel claims-based stroke severity index in patients with intracerebral hemorrhage
  Journal of Epidemiology, 27, 1, 24-29, 2017-01-01

• Developing a novel recommender network-based ranking mechanism for library book acquisition
  Electronic Library, 35, 1, 50-68, 2017-01-01
  [ Academic libraries , Book acquisition , Decision support systems , Recommendation , Recommender network ]

• Building an associative classifier with multiple minimum supports
  SpringerPlus, 5, 1, 2016-12-01
  [ Association rule , Classification based on associations , Data mining , Multiple minimum supports ]

• Predicting hotel review helpfulness: The impact of review visibility, and interaction between hotel stars and review ratings
  International Journal of Information Management, 36, 6, 929-944, 2016-12-01
  [ eWOM , Online hotel reviews , Review helpfulness , Review visibility , Sentiment analysis ]

• Applying machine learning techniques to the identification of late-onset hypogonadism in elderly men
  SpringerPlus, 5, 1, 2016-12-01
  [ Classification , Data mining , Late-onset hypogonadism (LOH) , Prediction ]

• Validity of a stroke severity index for administrative claims data research: a retrospective cohort study
  , 16, 1, 1-9, 2016-09-22
  [ Acute ischemic stroke , Claims data , Disease severity , National Health Insurance Research Database , Outcomes research ]

• Research impact of general and funded papers: A citation analysis of two ACM international conference proceeding series
  Online Information Review, 40, 4, 472-480, 2016-08-08
  [ Citation analysis , Highly cited papers , Research funding , Research impact ]

• A comparison of stroke severity proxy measures for claims data research: A population-based cohort study
  , 25, 4, 438-443, 2016-04-01
  [ Acute ischemic stroke , Claims data , Disease severity , Outcomes research , Pharmacoepidemiology ]

• Predicting Factors and Risk Stratification for Return Visits to the Emergency Department Within 72 Hours in Pediatric Patients
  , 31, 12, 819-824, 2015-12-01
  [ classification and regression tree , emergencies , health services , return visits ]

• Developing a stroke severity index based on administrative data was feasible using data mining techniques
  , 68, 11, 1292-1300, 2015-11-01
  [ Acute ischemic stroke , Administrative data , Data mining , Disease severity , Outcomes research , Prediction model ]

• Exploring the impact of intravenous thrombolysis on length of stay for acute ischemic stroke: A retrospective cohort study
  , 15, 1, 2015-09-23
  [ Acute ischemic stroke , Classification and regression tree , Intravenous thrombolysis , Length of stay ]

• Predicting customer churn from valuable B2B customers in the logistics industry: a case study
  Information Systems and e-Business Management, 13, 3, 475-494, 2015-08-29
  [ Customer churn , Customer value analysis , Logistics industry , Prediction model ]

• Factors affecting rocchio-based pseudorelevance feedback in image retrieval
  Journal of the Association for Information Science and Technology, 66, 1, 40-57, 2015-01-01
  [ image retrieval ]

• An efficient data preprocessing approach for large scale medical data mining
  Technology and Health Care, 23, 2, 153-160, 2015-01-01
  [ breast cancer , Data preprocessing , instance selection , medical data mining , protein homology ]

• On mining incomplete medical datasets: Ordering imputation and classification
  Technology and Health Care, 23, 5, 619-625, 2015-01-01
  [ incomplete data , Instance selection , medical data mining , missing value imputation ]

• Customer segmentation issues and strategies for an automobile dealership with two clustering techniques
  Expert Systems, 32, 1, 65-76, 2015-01-01
  [ automobile dealer , clustering , customer segmentation , expectation maximization , k-means ]

• A novel approach for mining cyclically repeated patterns with multiple minimum supports
  Applied Soft Computing Journal, 28, 90-99, 2015-01-01
  [ Cyclically repeated pattern (CRP) mining,Data mining,Multiple minimum supports,Sequential pattern ]

• Two-stage credit rating prediction using machine learning techniques
  Kybernetes, 43, 7, 1098-1113, 2014-07-29
  [ Decision making , Knowledge management ]

• Improvement of adequate use of warfarin for the elderly using decision tree-based approaches
  , 53, 1, 47-53, 2014-01-20
  [ Anticoagulant , Decision support techniques , Decision trees , Health services for the elderly , Warfarin ]

• Discovering valuable frequent patterns based on RFM analysis without customer identification information
  Knowledge-Based Systems, 61, 76-88, 2014-01-01
  [ Association rules , Constraint-based mining , Customer identification , RFM analysis , Utility pattern mining ]

• Developing early warning systems to predict students' online learning performance
  Computers in Human Behavior, 36, 469-478, 2014-01-01
  [ Data-mining , e-Learning , Early warning system , Learning management system , Learning performance prediction ]

• A Borda count approach to combine subjective and objective based MIS journal rankings
  Online Information Review, 38, 4, 469-483, 2014-01-01
  [ Borda count , H-index , Journal ranking , MIS journals ]

• Citation impact analysis of research papers that appear in oral and poster sessions: A case study of three computer science conferences
  Online Information Review, 38, 6, 738-745, 2014-01-01
  [ Bibliometrics , Citation analysis , Conference publication , Highly cited papers , Oral sessions , Poster sessions ]

• An empirical study on the factors influencing the turnover intention of dentists in hospitals in Taiwan
  , 9, 4, 332-344, 2014-01-01
  [ dentists , job satisfaction , organization commitment , turnover intention ]

• An adaptable and scalable group access control scheme for managing wireless sensor networks
  Telematics and Informatics, 30, 2, 144-157, 2013-05-01
  [ Access control , Adaptability , Cryptography , Scalability , Secure group communication , Wireless sensor networks ]

• An efficient tree-based algorithm for mining sequential patterns with multiple minimum supports
  Journal of Systems and Software, 86, 5, 1224-1238, 2013-05-01
  [ Data mining , Multiple minimum supports , PLWAP-tree , Sequential patterns ]

• A comparative study of hybrid machine learning techniques for customer lifetime value prediction
  Kybernetes, 42, 3, 357-370, 2013-03-22
  [ Customer information , Customer lifetime value , Data mining , Database marketing , Hybrid models , Machine learning ]

• Predicting warfarin dosage from clinical data: A supervised learning approach
  Artificial Intelligence in Medicine, 56, 1, 27-34, 2012-09-01
  [ Classifier ensemble , Dosage prediction , Model tree , Multilayer perceptron , Support vector regression , Warfarin ]

• Machine learning in financial crisis prediction: A survey
  IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 42, 4, 421-436, 2012-07-01
  [ Bankruptcy prediction , credit scoring , ensemble classifiers , hybrid classifiers , machine learning ]

• Mining sequential patterns in the B2B environment
  Journal of Information Science, 35, 6, 677-694, 2009-12-01
  [ Business-to-business , Data mining , Sequential pattern ]

• On mining multi-time-interval sequential patterns
  Data and Knowledge Engineering, 68, 10, 1112-1127, 2009-10-01
  [ Data mining , Knowledge discovery , Multi-time-interval , Sequential pattern , Time-interval ]

• Constraint-based sequential pattern mining: The consideration of recency and compactness
  Decision Support Systems, 42, 2, 1203-1215, 2006-11-01
  [ Constraint-based mining , Sequential pattern , Temporal database ]

• A similarity-based method for retrieving documents from the SCI/SSCI database
  Journal of Information Science, 32, 5, 449-464, 2006-10-01
  [ Information retrieval , Neural network , Similarity ]

• Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism
  Decision Support Systems, 42, 1, 1-24, 2006-10-01
  [ Association rules , Data mining , FP-tree , Minimum supports ]

• Market basket analysis in a multiple store environment
  Decision Support Systems, 40, 2, 339-354, 2005-08-01
  [ Algorithm , Association rules , Data mining , Store chain ]

研討會著作

• Semantic-Level New Information Identification in Electronic Health Records Using Text-Mining Techniques
  3336-3343, 2024-01-01
  [ Data mining,Electronic health records,New information,Semantic similarity,UMLS ]

• The Impact of Feature Normalization on Different Feature Types of Medical Datasets
  29-33, 2023-05-12
  [ data preprocessing,feature normalization,medical datasets,pattern classification ]

• On Fusing Multiple Instance Selection Results
  1546-1549, 2019-12-01
  [ data mining , information fusion , instance selection ]

• Cyberbullying detection on social network services
  2018-01-01
  [ Classification,Cyberbullying,Data mining,Readability,Twitter ]

• Early versus late dimensionality reduction of bag-of-words feature representation for image classification
  42-45, 2017-12-08
  [ Bag-of-words , Dimensionality reduction , Feature selection , Image classification , Principal component analysis ]

• Subject-relevant document recommendation: a reference topic-based approach
  2017-01-01
  [ Content-based recommendation,Document recommendation,Recommender systems,Subject-relevant recommendation,Topic-based recommendation ]

• Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database
  295-298, 2017-01-01
  

• The effect of region segmentation on object categorization
  2016-11-22
  [ image classification , image segmentation , object categorization ]

• The Identification of Prolonged Length of Stay for Surgery Patients
  3000-3003, 2016-01-12
  [ Data Mining , General Surgery , Prolonged Length of Stay , Supervised Learning , Urgent Surgery ]

• Hotel recommendation system based on review and context information: A Collaborative Filtering approach
  2016-01-01
  [ Collaborative Filtering , Context analysis , Recommender system ]

• Knowledge discovery of weighted RFM sequential patterns from customer sequence databases
  779-788, 2013-03-01
  [ Constraint-based mining , Data mining , RFM analysis , Sequential patterns ]

• Decision support in library book acquisition: A social computing-based approach
  364-369, 2011-12-01
  [ book acquisition , library science , recommendation , social computing , social network ]

• Mining sequential patterns with consideration to recency, frequency, and monetary
  2011-12-01
  [ Constraint-based mining , Data mining , RFM analysis , Sequential patterns ]

• Mining cyclic patterns with multiple minimum repetition supports
  1545-1549, 2011-10-06
  [ cyclic pattern mining , Data mining , multiple minimum supports , sequential pattern ]

• Dynamic access control for secure group communication in wireless sensor networks
  288-291, 2011-08-12
  [ access control , cryptography , secure group communication , structure-free , wireless sensor networks ]

• Sequential pattern mining with multiple minimum supports: A tree based approach
  428-433, 2010-09-17
  [ Multiple minimum supports , Pattern growth , Sequential pattern ]

• Considering RFM-values of frequent patterns in transactional databases
  422-427, 2010-09-17
  [ Constraint-based mining , Frequent pattern mining , Market basket analysis , RFM analysis ]

• Mining multi-level time-interval sequential patterns in sequence databases
  416-421, 2010-09-17
  [ Data mining , Sequential patterns , Time-interval ]

• Classification of time-sequential attributes by using sequential pattern rules
  735-739, 2007-12-01
  

專書

• Research Anthology on Implementing Sentiment Analysis across Multiple Disciplines: Volume I-IV
  800-813, 2022-01-01