Clinical Decision Support Systems and Predictive Analytics
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[1] Shereen M. El-Metwally,et al. Decision tree classifiers for automated medical diagnosis , 2013, Neural Computing and Applications.
[2] D. Larose. k‐Nearest Neighbor Algorithm , 2005 .
[3] Bensheng Qiu,et al. The Research of Clinical Decision Support System Based on Three-Layer Knowledge Base Model , 2017, Journal of healthcare engineering.
[4] Mor Peleg,et al. Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record , 2016, Journal of Medical Systems.
[5] George Nikolakopoulos,et al. An intelligent assistant for physicians , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[6] Lucie Laflamme,et al. A Smartphone App and Cloud-Based Consultation System for Burn Injury Emergency Care , 2016, PloS one.
[7] Satyajit Das,et al. Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic , 2016, Applied Intelligence.
[8] Clement J. McDonald,et al. What can natural language processing do for clinical decision support? , 2009, J. Biomed. Informatics.
[9] Lauren McCullagh,et al. Formative assessment and design of a complex clinical decision support tool for pulmonary embolism , 2015, Evidence-Based Medicine.
[10] James C. Cox,et al. Higher Quality and Lower Cost from Improving Hospital Discharge Decision Making. , 2016, Journal of economic behavior & organization.
[11] Kavishwar B. Wagholikar,et al. Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions , 2012, Journal of Medical Systems.
[12] Ajit Kumar. Stakeholder’s Perspective of Clinical Decision Support System , 2016 .
[13] Henri Prade,et al. Fuzzy sets and probability: misunderstandings, bridges and gaps , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.
[14] H. Warner,et al. A mathematical approach to medical diagnosis. Application to congenital heart disease. , 1961, JAMA.
[15] Steven Finlay,et al. Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods , 2014 .
[16] Markus Wagner,et al. KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis , 2017, IEEE Transactions on Visualization and Computer Graphics.
[17] Jeremy C Wyatt,et al. Modeling information flows in clinical decision support: key insights for enhancing system effectiveness , 2016, J. Am. Medical Informatics Assoc..
[18] F A NASH,et al. Differential diagnosis, an apparatus to assist the logical faculties. , 1954, Lancet.
[19] A. M. Shahsavarani,et al. Clinical Decision Support Systems (CDSSs): State of the art Review of Literature , 2015 .
[20] S. Hajioff,et al. Computerized decision support systems: an overview , 1998 .
[21] S. Weingarten,et al. Choosing Wisely clinical decision support adherence and associated inpatient outcomes. , 2018, The American journal of managed care.
[22] Richard Bellman,et al. Decision-making in fuzzy environment , 2012 .
[23] Ranjit Biswas,et al. An application of intuitionistic fuzzy sets in medical diagnosis , 2001, Fuzzy Sets Syst..
[24] Peter Szolovits,et al. The coming of age of artificial intelligence in medicine , 2009, Artif. Intell. Medicine.
[25] Monique W. M. Jaspers,et al. Factors influencing implementation success of guideline-based clinical decision support systems: A systematic review and gaps analysis , 2017, Int. J. Medical Informatics.
[26] Henry C. W. Lau,et al. On A Responsive Replenishment System: A Fuzzy Logic Approach , 2003, 2006 4th IEEE International Conference on Industrial Informatics.
[27] Somula Ramasubbareddy,et al. Classification of Heart Disease Using Support Vector Machine , 2019, Journal of Computational and Theoretical Nanoscience.
[28] Guilherme Del Fiol,et al. Integrating Genomic Resources with Electronic Health Records using the HL7 Infobutton Standard , 2016, Applied Clinical Informatics.
[29] Holly O. Witteman,et al. Communicating laboratory results to patients and families , 2018, Clinical chemistry and laboratory medicine.
[30] Güney Gürsel,et al. Healthcare, uncertainty, and fuzzy logic , 2016 .
[31] Joseph M. Hilbe,et al. Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research , 2014 .
[32] E. Sanchez. SOLUTIONS IN COMPOSITE FUZZY RELATION EQUATIONS: APPLICATION TO MEDICAL DIAGNOSIS IN BROUWERIAN LOGIC , 1993 .
[33] Iain E. Buchan,et al. Multi-method laboratory user evaluation of an actionable clinical performance information system: Implications for usability and patient safety , 2018, J. Biomed. Informatics.
[34] W. Baxt. Application of artificial neural networks to clinical medicine , 1995, The Lancet.
[35] Yi Mu,et al. Personal Health Record Systems and Their Security Protection , 2006, Journal of Medical Systems.
[36] Randolph A Miller,et al. Computer-assisted diagnostic decision support: history, challenges, and possible paths forward , 2009, Advances in health sciences education : theory and practice.
[37] R. Arnold,et al. Evaluation of User‐Interface Alert Displays for Clinical Decision Support Systems for Sepsis , 2018, Critical care nurse.
[38] Carol Friedman,et al. Natural Language and Text Processing in Biomedicine , 2006 .
[39] J. Havel,et al. Artificial neural networks in medical diagnosis , 2013 .
[40] Randolph A. Miller,et al. Review: Medical Diagnostic Decision Support Systems - Past, Present, And Future: A Threaded Bibliography and Brief Commentary , 1994, J. Am. Medical Informatics Assoc..
[41] Alexey N. Yakovlev,et al. Personalized Clinical Decision Support with Complex Hospital-Level Modelling , 2015 .
[42] J. Stuart Hunter,et al. Letters: Enhancing Friedman's "Fundamental Theorem of Biomedical Informatics" , 2010, J. Am. Medical Informatics Assoc..
[43] Andres F. Cantillo. The Problem of Points , 2011 .
[44] Berend Jan van der Zwaag,et al. Fuzzy logic in clinical practice decision support systems , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.
[45] Abhishek Pandey,et al. Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review , 2017, J. Biomed. Informatics.
[46] Cheng-Kun Wang. Security and privacy of personal health record, electronic medical record and health information , 2017 .
[47] A. Curcio,et al. Clinical Usefulness of a Mobile Application for the Appropriate Selection of the Antiarrhythmic Device in Heart Failure , 2016, Pacing and clinical electrophysiology : PACE.
[48] Jing Xu,et al. A patient-oriented clinical decision support system for CRC risk assessment and preventative care , 2018, BMC Medical Informatics and Decision Making.
[49] Poornima Madhavan,et al. Effects of computer self-efficacy and system reliability on user interaction with decision support systems , 2010, Comput. Hum. Behav..
[50] D. Bates,et al. Big data in health care: using analytics to identify and manage high-risk and high-cost patients. , 2014, Health affairs.
[51] Daniel T. Larose. Hierarchical and k‐Means Clustering , 2005 .
[52] Guilherme Del Fiol,et al. Context-sensitive decision support (infobuttons) in electronic health records: a systematic review , 2017, J. Am. Medical Informatics Assoc..
[53] Daniel L. Rubin,et al. Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data , 2016, J. Biomed. Informatics.
[54] M. Relling,et al. Development and use of active clinical decision support for preemptive pharmacogenomics , 2013, Journal of the American Medical Informatics Association : JAMIA.
[55] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[56] D. Dubois,et al. Fuzzy sets, probability and measurement , 1989 .
[57] A. Mechelli,et al. Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications , 2017, Neuroscience & Biobehavioral Reviews.
[58] А. А. Олейник,et al. Ассоциативные правила в интеллектуальном анализе данных , 2013 .
[59] Michael J. Denney,et al. Validating the extract, transform, load process used to populate a large clinical research database , 2016, Int. J. Medical Informatics.
[60] Olga Kostopoulou,et al. The impact of a diagnostic decision support system on the consultation: perceptions of GPs and patients , 2017, BMC Medical Informatics and Decision Making.
[61] J. S. Leeder,et al. Design and Testing of an EHR-Integrated, Busulfan Pharmacokinetic Decision Support Tool for the Point-of-Care Clinician , 2016, Front. Pharmacol..
[62] Neda Eskandari,et al. A delayed functional observer/predictor with bounded-error for depth of hypnosis monitoring , 2017, Journal of Clinical Monitoring and Computing.
[63] Elizabeth M. Borycki,et al. Usability problems do not heal by themselves: National survey on physicians' experiences with EHRs in Finland , 2017, Int. J. Medical Informatics.
[64] Viju Raghupathi,et al. Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.
[65] David W. Bates,et al. Usability of Commercially Available Mobile Applications for Diverse Patients , 2016, Journal of General Internal Medicine.
[66] T. Paulussen,et al. Determinants of innovation within health care organizations: literature review and Delphi study. , 2004, International journal for quality in health care : journal of the International Society for Quality in Health Care.
[67] Rob Stocker,et al. Applying k-Nearest Neighbour in Diagnosing Heart Disease Patients , 2012 .
[68] Seyed Ahmad Mirbagheri,et al. Designing and Implementing an ANFIS Based Medical Decision Support System to Predict Chronic Kidney Disease Progression , 2018, Front. Physiol..
[69] M. P. D. Val,et al. Resistance to change: a literature review and empirical study , 2003 .
[70] C. Rupe,et al. The automatic digital computer as an aid in medical diagnosis , 1959, IRE-AIEE-ACM '59 (Eastern).
[71] Lyle D. Broemeling,et al. An Account of Early Statistical Inference in Arab Cryptology , 2011 .
[72] Ephraim R. McLean,et al. The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..
[73] D C Torney,et al. Discovery of association rules in medical data , 2001, Medical informatics and the Internet in medicine.
[74] Chandan K. Reddy,et al. Clinical Decision Support Systems , 2015 .
[75] M LIPKIN,et al. Differential diagnosis of hematologic diseases aided by mechanical correlation of data. , 1957, Science.
[76] Dean F Sittig,et al. Current challenges in health information technology–related patient safety , 2018, Health Informatics J..
[77] Mohammed Elmogy,et al. Electronic Health Records: Applications, Techniques and Challenges , 2015 .
[78] Robert A. Greenes,et al. Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures , 2017, J. Biomed. Informatics.
[79] Marc Hinderer,et al. Integrating clinical decision support systems for pharmacogenomic testing into clinical routine - a scoping review of designs of user-system interactions in recent system development , 2017, BMC Medical Informatics and Decision Making.
[80] H. Witteman,et al. Key stakeholders' perceptions of the acceptability and usefulness of a tablet-based tool to improve communication and shared decision making in ICUs. , 2016, Journal of critical care.
[81] Eneida A. Mendonça,et al. Clinical decision support systems: perspectives in dentistry. , 2004, Journal of dental education.
[82] Anastasia Papazafeiropoulou,et al. An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit) , 2008, Int. J. Medical Informatics.
[83] Andrew P. Bradley,et al. Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus , 2010, IEEE Transactions on Information Technology in Biomedicine.
[84] Thomas W. Miller,et al. Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science , 2014 .
[85] Jean Bolte,et al. Toward Designing Information Display to Support Critical Care , 2016, Applied Clinical Informatics.
[86] Jason H T Bates,et al. Applying fuzzy logic to medical decision making in the intensive care unit. , 2003, American journal of respiratory and critical care medicine.
[87] Anthony C. Chang,et al. Application of artificial intelligence in pediatrics: past, present and future , 2019, World Journal of Pediatrics.
[88] Sheana Bull,et al. Health Worker mHealth Utilization: A Systematic Review , 2016, Computers, informatics, nursing : CIN.
[89] David W. Bates,et al. Review Paper: What Evidence Supports the Use of Computerized Alerts and Prompts to Improve Clinicians' Prescribing Behavior? , 2009, J. Am. Medical Informatics Assoc..
[90] David W. Bates,et al. Synthesis of Research Paper: Ten Commandments for Effective Clinical Decision Support: Making the Practice of Evidence-based Medicine a Reality , 2003, J. Am. Medical Informatics Assoc..
[91] Madhukar H. Trivedi,et al. Bmc Medical Informatics and Decision Making Barriers to Implementation of a Computerized Decision Support System for Depression: an Observational Report on Lessons Learned in "real World" Clinical Settings , 2008 .
[92] Edward Clarkson,et al. A Visual Decision Support Tool for Appendectomy Care , 2018, Journal of Medical Systems.
[93] P. Dayan,et al. Working at the intersection of context, culture, and technology: Provider perspectives on antimicrobial stewardship in the emergency department using electronic health record clinical decision support , 2017, American journal of infection control.
[94] R. Greenes. Chapter 2 – A Brief History of Clinical Decision Support: Technical, Social, Cultural, Economic, and Governmental Perspectives , 2014 .
[95] Anol Bhattacherjee,et al. Physicians' resistance toward healthcare information technology: a theoretical model and empirical test , 2007, Eur. J. Inf. Syst..
[96] Elda Xhumari,et al. Application of Artificial Neural Networks in Medicine , 2016, RTA-CSIT.
[97] Ida Sim,et al. A taxonomic description of computer-based clinical decision support systems , 2006, J. Biomed. Informatics.
[98] Matthew H. Samore,et al. Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition , 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).
[99] D. Pavithra,et al. A STUDY ON MACHINE LEARNING ALGORITHM IN MEDICAL DIAGNOSIS , 2018, International Journal of Advanced Research in Computer Science.
[100] Janusz Kacprzyk,et al. Intuitionistic Fuzzy Sets in some Medical Applications , 2001, Fuzzy Days.
[101] Subramani Mani,et al. Letter: Note on Friedman's 'fundamental theorem of biomedical informatics' , 2010, J. Am. Medical Informatics Assoc..
[102] Suzana Loskovska,et al. Clinical Decision Support Systems: Medical knowledge acquisition and representation methods , 2010, 2010 IEEE International Conference on Electro/Information Technology.
[103] Petr Hájek,et al. Fuzzy logic and probability , 1995, UAI.
[104] Qeethara Al-Shayea. Artificial Neural Networks in Medical Diagnosis , 2024, International Journal of Research Publication and Reviews.
[105] R S LEDLEY,et al. Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason. , 1959, Science.
[106] Vladik Kreinovich,et al. Fuzzy logic and its applications in medicine , 2001, Int. J. Medical Informatics.
[107] Matthias Samwald,et al. Examining perceptions of the usefulness and usability of a mobile-based system for pharmacogenomics clinical decision support: a mixed methods study , 2016, PeerJ.
[108] C BERKLEY,et al. Digital computer as aid to differential diagnosis. Use in hematologic diseases. , 1961, Archives of internal medicine.
[109] Vaishnavi Kannan,et al. Agile Acceptance Test–Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software , 2018, JMIR medical informatics.
[110] Kuanchin Chen,et al. Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study , 2018, Int. J. Medical Informatics.
[111] Eider Sanchez,et al. Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer , 2013, Pattern Recognit. Lett..
[112] Nicolas Mounier,et al. Mobile applications in oncology: is it possible for patients and healthcare professionals to easily identify relevant tools? , 2016, Annals of medicine.
[113] Ankur Agarwal,et al. A framework for the estimation and reduction of hospital readmission penalties using predictive analytics , 2017, Journal of Big Data.
[114] Alessandro Febretti,et al. Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived From Nursing Electronic Health Record Data. , 2017, International journal of nursing knowledge.
[115] Nikita Bhatt,et al. A Survey on Various Classification Techniques for Clinical Decision Support System , 2015 .
[116] Krzysztof Michalik,et al. Application of Knowledge-Engineering Methods in Medical Knowledge Management , 2013 .
[117] Christian Lovis,et al. Improving Drugs Administration Safety in Pediatric Resuscitation Using Mobile Technology , 2016, Nursing Informatics.
[118] Haipeng Shen,et al. Artificial intelligence in healthcare: past, present and future , 2017, Stroke and Vascular Neurology.
[119] M. Selamat,et al. A Review on Clinical Decision Support Systems in Healthcare , 2014 .
[120] Nithya Bharathan. A Survey on the Applications of Fuzzy Logic in Medical Diagnosis , 2013 .
[121] Robert A. Greenes,et al. A Brief History of Clinical Decision Support: Technical, Social, Cultural, Economic, and Governmental Perspectives , 2007 .
[122] David P. McCallie,et al. Clinical Decision Support: History and Basic Concepts , 2016 .
[123] M. Neradilek,et al. Clinical impact of pharmacogenetic profiling with a clinical decision support tool in polypharmacy home health patients: A prospective pilot randomized controlled trial , 2017, PloS one.
[124] Nicolette de Keizer,et al. Optimizing the user interface of a data entry module for an electronic patient record for cardiac rehabilitation: A mixed method usability approach , 2016, Int. J. Medical Informatics.
[125] A.T.M. Wasylewicz,et al. Clinical Decision Support Systems , 2018, Fundamentals of Clinical Data Science.
[126] Wan-Yi Chou,et al. Application of visually based, computerised diagnostic decision support system in dermatological medical education: a pilot study , 2016, Postgraduate Medical Journal.
[127] Loes M. M. Braun,et al. Natural Language Processing in Radiology: A Systematic Review. , 2016, Radiology.
[128] J. Wyatt,et al. INFORMATION FOR CLINICIANS Use and sources of medical knowledge , 1991, The Lancet.
[129] Nils Brunsson. My own book review : The Irrational Organization , 2014 .
[130] G. Anthony Gorry. Strategies for computer-aided diagnosis , 1968 .
[131] W. Slack,et al. A computer-based medical-history system. , 1966, The New England journal of medicine.
[132] Iain Buchan,et al. Presentation of laboratory test results in patient portals: influence of interface design on risk interpretation and visual search behaviour , 2018, BMC Medical Informatics and Decision Making.
[133] Hongfang Liu,et al. Journal of Biomedical Informatics , 2022 .
[134] H. Korhonen,et al. Corporate customers' resistance to industrial service innovations , 2011 .
[135] Jian-Bo Yang,et al. Clinical Decision Support Systems: A Review on Knowledge Representation and Inference Under Uncertainties , 2008, Int. J. Comput. Intell. Syst..
[136] Mohamed Roushdy,et al. Methodology for Medical Diagnosis based on Fuzzy Logic , 2004, Egypt. Comput. Sci. J..
[137] Charles P. Friedman,et al. Viewpoint Paper: A "Fundamental Theorem" of Biomedical Informatics , 2009, J. Am. Medical Informatics Assoc..
[138] Ozkan Gorgulu,et al. Use of Fuzzy Logic Based Decision Support Systems in Medicine , 2016 .