A service analytic approach to studying patient no-shows
暂无分享,去创建一个
Ali Dag | Asil Oztekin | Murtaza Nasir | Nichalin S. Summerfield | Nichalin Summerfield | A. Oztekin | Ali Dag | Murtaza Nasir | Ali Dağ
[1] Ramesh Sharda,et al. Predicting box-office success of motion pictures with neural networks , 2006 .
[2] Amir Ahmadi-Javid,et al. Outpatient appointment systems in healthcare: A review of optimization studies , 2017, Eur. J. Oper. Res..
[3] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[4] M. M. Malik,et al. Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review , 2016, Annals of Operations Research.
[5] Audrey Paulman,et al. Why We Don’t Come: Patient Perceptions on No-Shows , 2004, The Annals of Family Medicine.
[6] Michael J. Pazzani,et al. Reducing Misclassification Costs , 1994, ICML.
[7] Vidyadhar G. Kulkarni,et al. Appointment Scheduling Under Patient No-Shows and Service Interruptions , 2012, Manuf. Serv. Oper. Manag..
[8] Dursun Delen,et al. Analysis of cancer data: a data mining approach , 2009, Expert Syst. J. Knowl. Eng..
[9] Michele Samorani,et al. Outpatient Appointment Scheduling Given Individual Day-Dependent No-Show Predictions , 2013 .
[10] Andreas Graefe,et al. Combining Forecasts: An Application to Elections , 2013 .
[11] Nan Liu,et al. Appointment Scheduling Under Patient Preference and No-Show Behavior , 2014, Oper. Res..
[12] Chelliah Sriskandarajah,et al. Outpatient Appointment Scheduling Under Patient Heterogeneity and Patient No-Shows , 2015 .
[13] Jose C. Principe,et al. Neural and adaptive systems : fundamentals through simulations , 2000 .
[14] Nitesh V. Chawla,et al. Data Mining for Imbalanced Datasets: An Overview , 2005, The Data Mining and Knowledge Discovery Handbook.
[15] Paul R. Harper,et al. Reduced outpatient waiting times with improved appointment scheduling: a simulation modelling approach , 2003, OR Spectr..
[16] Karolina J. Glowacka,et al. A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling , 2009, J. Oper. Res. Soc..
[17] C. Kistler,et al. Getting patients in the door: medical appointment reminder preferences , 2016, Patient preference and adherence.
[18] Nan Liu. Optimal choice for appointment scheduling window under patient no-show behavior , 2016 .
[19] Soo-Yeol Kim. Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation , 2018 .
[20] Ana S. Camanho,et al. Predicting direct marketing response in banking: comparison of class imbalance methods , 2017 .
[21] David L. Olson,et al. A support vector machine (SVM) approach to imbalanced datasets of customer responses: comparison with other customer response models , 2012, Service Business.
[22] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[23] M. Wieland,et al. Missed appointments in resident continuity clinic: patient characteristics and health care outcomes. , 2011, Journal of graduate medical education.
[24] André Berchtold,et al. Missed appointments in an outpatient clinic for adolescents, an approach to predict the risk of missing. , 2008, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.
[25] Refael Hassin,et al. Scheduling Arrivals to Queues: A Single-Server Model with No-Shows , 2008, Manag. Sci..
[26] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[27] Xin Yao,et al. MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning , 2014 .
[28] Tony R. Martinez,et al. Distribution-balanced stratified cross-validation for accuracy estimation , 2000, J. Exp. Theor. Artif. Intell..
[29] A. Sharafkhaneh,et al. Prevalence, predictors and economic consequences of no-shows , 2015, BMC Health Services Research.
[30] Alan C. Wilson,et al. The effectiveness of outpatient appointment reminder systems in reducing no-show rates. , 2010, The American journal of medicine.
[31] J. Gaspoz,et al. Reduction of missed appointments at an urban primary care clinic: a randomised controlled study , 2010, BMC family practice.
[32] Michael R Kramer,et al. A Profile of Patients Who Fail to Keep Appointments in a Veterans Affairs Primary Care Clinic. , 2016, WMJ : official publication of the State Medical Society of Wisconsin.
[33] Jerrold H. May,et al. Large-Scale No-Show Patterns and Distributions for Clinic Operational Research , 2016, Healthcare.
[34] Haibo He,et al. ADASYN: Adaptive synthetic sampling approach for imbalanced learning , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[35] Ben Torsney,et al. SMS Reminders in the UK National Health Service: An Evaluation of Its Impact on "No-Shows" at Hospital Out-Patient Clinics , 2006, Health care management review.
[36] Missed appointments at public hospitals in Riyadh, Saudi Arabia. , 2002, Saudi medical journal.
[37] Erkam Güresen,et al. Developing an early warning system to predict currency crises , 2014, Eur. J. Oper. Res..
[38] Y. Huang,et al. Dynamic overbooking scheduling system to improve patient access , 2012, J. Oper. Res. Soc..
[39] Vojislav Kecman,et al. Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models , 2001 .
[40] Alexander L. Wolf,et al. A conceptual basis for feature engineering , 1999, J. Syst. Softw..
[41] Raquel Florez-Lopez,et al. Modelling of insurers’ rating determinants. An application of machine learning techniques and statistical models , 2007 .
[42] Herbert Moskowitz,et al. Modeling and optimizing a vendor managed replenishment system using machine learning and genetic algorithms , 2007, Eur. J. Oper. Res..
[43] Dimitris Kanellopoulos,et al. Handling imbalanced datasets: A review , 2006 .
[44] Mehmet Bayram Yildirim,et al. Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network , 2018, Ann. Oper. Res..
[45] Nan Liu,et al. Panel Size and Overbooking Decisions for Appointment-Based Services under Patient No-Shows , 2014 .
[46] Hongnian Yu,et al. A combination selection algorithm on forecasting , 2014, Eur. J. Oper. Res..
[47] Y. Huang,et al. Effective cancellation policy to reduce the negative impact of patient no-show , 2014, J. Oper. Res. Soc..
[48] D. Shepard,et al. Mailed versus telephoned appointment reminders to reduce broken appointments in a hospital outpatient department. , 1976, Medical care.
[49] Fabio H. Nieto,et al. A note on linear combination of predictors , 2000 .
[50] Kum Khiong Yang,et al. A universal appointment rule in the presence of no-shows and walk-ins , 2012 .
[51] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[52] S. N. Sivanandam,et al. Introduction to Data Mining and its Applications , 2006, Studies in Computational Intelligence.
[53] R. Clemen. Combining forecasts: A review and annotated bibliography , 1989 .
[54] Yen-Chun Chou,et al. A predictive investigation of first-time customer retention in online reservation services , 2018 .
[55] V. Pesata,et al. A descriptive study of missed appointments: families' perceptions of barriers to care. , 1999, Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners.
[56] Gongping Yang,et al. On the Class Imbalance Problem , 2008, 2008 Fourth International Conference on Natural Computation.
[57] V Allgar,et al. Missed appointments in general practice: retrospective data analysis from four practices. , 2001, The British journal of general practice : the journal of the Royal College of General Practitioners.
[58] R A Deyo,et al. Dropouts and broken appointments. A literature review and agenda for future research. , 1980, Medical care.
[59] Jerrold H. May,et al. Evaluating and Tuning Predictive Data Mining Models Using Receiver Operating Characteristic Curves , 2004, J. Manag. Inf. Syst..
[60] Michael Pinedo,et al. Appointment scheduling with no-shows and overbooking , 2014 .
[61] Yu-Li Huang,et al. A cost-effective urgent care policy to improve patient access in a dynamic scheduled clinic setting , 2014, J. Oper. Res. Soc..
[62] Richard D Neal,et al. Reasons for and consequences of missed appointments in general practice in the UK: questionnaire survey and prospective review of medical records , 2005, BMC family practice.
[63] Joanne K. Daggy,et al. Using no-show modeling to improve clinic performance , 2010, Health Informatics J..
[64] Herbert Moskowitz,et al. An empirical investigation into factors affecting patient cancellations and no-shows at outpatient clinics , 2014, Decis. Support Syst..
[65] Nan Liu,et al. Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations , 2010, Manuf. Serv. Oper. Manag..
[66] Sotiris B. Kotsiantis,et al. Supervised Machine Learning: A Review of Classification Techniques , 2007, Informatica.