Clinical Decision Support Systems : A discussion on different methodologies used in Health Care
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[1] D. J. Spiegelhalter,et al. Statistical and Knowledge‐Based Approaches to Clinical Decision‐Support Systems, with an Application in Gastroenterology , 1984 .
[2] Douglas M. Stetson,et al. A clinical trial of a computer diagnosis program for chest pain , 1991, [1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium.
[3] J. Dalle Mule,et al. Coronary artery disease in women: a medical decision making system for improvement of non-invasive diagnostic accuracy , 1992, Proceedings Computers in Cardiology.
[4] Yong Eun Cho,et al. Correlation of pain severity with thermography , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.
[5] P. White,et al. Effect of preincision versus postincision infiltration with bupivacaine on postoperative pain. , 1995, Journal of clinical anesthesia.
[6] Nosrat Shahsavar,et al. Evaluation of a knowledge-based decision-support system for ventilator therapy management , 1995, Artif. Intell. Medicine.
[7] Israel Gannot,et al. Current status of flexible waveguides for IR laser radiation transmission , 1996 .
[8] J. Bean-Lijewski,et al. Effect of ketorolac on bleeding time and postoperative pain in children: a double-blind, placebo-controlled comparison with meperidine. , 1996, Journal of clinical anesthesia.
[9] James G. Anderson,et al. Clearing the way for physicians' use of clinical information systems , 1997, CACM.
[10] K. Ong,et al. Graphical knowledge-based protocols for chest pain management , 1999, Computers in Cardiology 1999. Vol.26 (Cat. No.99CH37004).
[11] 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.
[12] P. Reese,et al. The economic impact of opioids on postoperative pain management. , 2002, Journal of clinical anesthesia.
[13] M. Jensen,et al. Interpretation of visual analog scale ratings and change scores: a reanalysis of two clinical trials of postoperative pain. , 2003, The journal of pain : official journal of the American Pain Society.
[14] Chris D. Nugent,et al. Evaluation of inherent performance of intelligent medical decision support systems: utilising neural networks as an example , 2003, Artif. Intell. Medicine.
[15] H. Mcdonald,et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.
[16] Anita Burgun-Parenthoine,et al. Modelling a decision-support system for oncology using rule-based and case-based reasoning methodologies , 2005, Int. J. Medical Informatics.
[17] A. Rushton,et al. A survey of post-operative management for patients following first time lumbar discectomy , 2007, European Spine Journal.
[18] H. Klopper,et al. Strategies in assessing post operative pain--a South African study. , 2006, Intensive & critical care nursing.
[19] David Gil Méndez,et al. Development of an artificial neural network for helping to diagnose diseases in urology , 2006, 2006 1st Bio-Inspired Models of Network, Information and Computing Systems.
[20] Insup Lee,et al. Improving the Safety of Patient-Controlled Analgesia Infusions with Safety Interlocks and Closed-Loop Control , 2007, 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability (HCMDSS-MDPnP 2007).
[21] H. Kehlet,et al. PROSPECT: evidence-based, procedure-specific postoperative pain management. , 2007, Best practice & research. Clinical anaesthesiology.
[22] Zhibin Jiang,et al. A semantics-based clinical pathway workflow and variance management framework , 2008, 2008 IEEE International Conference on Service Operations and Logistics, and Informatics.
[23] César A. C. Teixeira,et al. A UMLS interoperable solution to support collaborative diagnosis decision making over the internet , 2008, SAC '08.
[24] A. Weinbroum,et al. Subanaesthetic ketamine spares postoperative morphine and controls pain better than standard morphine does alone in orthopaedic-oncological patients. , 2008, European journal of cancer.
[25] Walter E. Haefeli,et al. Multidisciplinary pain management based on a computerized clinical decision support system in cancer pain patients , 2009, PAIN®.
[26] Agnar Aamodt,et al. Towards an Introspective Architecture for Meta-level Reasoning in Clinical Decision Support Systems , 2009 .
[27] Zhibin Jiang,et al. A Knowledge-Based Variance Management System for Supporting the Implementation of Clinical Pathways , 2009, 2009 International Conference on Management and Service Science.
[28] Shaofeng Liu,et al. Integration of decision support systems to improve decision support performance , 2010, Knowledge and Information Systems.
[29] D. Tadaki. Advanced surgical imaging , 2009 .
[30] C. Caltagirone,et al. Management of pain in cancer patients with depression and cognitive deterioration. , 2010, Surgical oncology.
[31] Wassim M. Haddad,et al. Relevance Vector Machine Learning for Neonate Pain Intensity Assessment Using Digital Imaging , 2010, IEEE Transactions on Biomedical Engineering.
[32] R. S. Rajesh,et al. Knowledge discovery in medical datasets using a Fuzzy Logic rule based classifier , 2010, 2010 2nd International Conference on Electronic Computer Technology.
[33] Yousra Abdulaziz,et al. Infant cry recognition system: A comparison of system performance based on mel frequency and linear prediction cepstral coefficients , 2010, 2010 International Conference on Information Retrieval & Knowledge Management (CAMP).
[34] Yu-Chee Tseng,et al. An application of sensor networks with data mining to patient controlled analgesia , 2010, The 12th IEEE International Conference on e-Health Networking, Applications and Services.
[35] L. Hayden,et al. Ten Commandments for Effective Clinical Decision Support: Making the Practice of Evidence-based Medicine a Reality , 2011 .
[36] Theresa Beaubouef,et al. Rough Sets , 2019, Lecture Notes in Computer Science.