Clinical decision support system in medical knowledge literature review

[1]  Young-Ho Lee,et al.  Development of Measurement Model for the Value of QOL as an Influential Factor of Metabolic Syndrome , 2014, Wirel. Pers. Commun..

[2]  Junggi Yang,et al.  Cardiovascular disease prediction models on Linear Discriminant Analysis of depression , 2014, CIT 2014.

[3]  Junggi Yang,et al.  Korean Anaphora Recognition System to Develop Healthcare Dialogue-Type Agent , 2014, Healthcare informatics research.

[4]  Hien Nguyen,et al.  From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system , 2014, J. Am. Medical Informatics Assoc..

[5]  Sooyoung Yoo,et al.  Semantic concept-enriched dependence model for medical information retrieval , 2014, J. Biomed. Informatics.

[6]  Y.-H. Lee,et al.  Study on a HDSS-based PEI model for chronic disease management , 2014, ICUIMC.

[7]  Adam Wright,et al.  A qualitative study of the activities performed by people involved in clinical decision support: recommended practices for success , 2013, J. Am. Medical Informatics Assoc..

[8]  K. Hood,et al.  Oral ibandronic acid versus intravenous zoledronic acid in treatment of bone metastases from breast cancer: a randomised, open label, non-inferiority phase 3 trial. , 2014, The Lancet. Oncology.

[9]  Young-Ho Lee,et al.  Coronary heart disease optimization system on adaptive-network-based fuzzy inference system and linear discriminant analysis (ANFIS–LDA) , 2014, Personal and Ubiquitous Computing.

[10]  S. Colan,et al.  Risk stratification at diagnosis for children with hypertrophic cardiomyopathy: an analysis of data from the Pediatric Cardiomyopathy Registry , 2013, The Lancet.

[11]  B. Marcus,et al.  The Seamos Saludables study: A randomized controlled physical activity trial of Latinas. , 2013, American journal of preventive medicine.

[12]  C. Whibley,et al.  Risk factors for congenital anomaly in a multiethnic birth cohort: an analysis of the Born in Bradford study , 2013, The Lancet.

[13]  Suzanne Bakken,et al.  Informing the design of clinical decision support services for evaluation of children with minor blunt head trauma in the emergency department: A sociotechnical analysis , 2013, J. Biomed. Informatics.

[14]  R. Gerkin,et al.  Improving clinical interpretation of the anti-platelet factor 4/heparin enzyme-linked immunosorbent assay for the diagnosis of heparin-induced thrombocytopenia through the use of receiver operating characteristic analysis, stratum-specific likelihood ratios, and Bayes theorem. , 2013, Chest.

[15]  J. Birkmeyer,et al.  Strategies to reduce variation in the use of surgery , 2013, The Lancet.

[16]  Peter McCulloch,et al.  Understanding regional variation in the use of surgery , 2014 .

[17]  Andrew Worster,et al.  Clinical decision rules to rule out subarachnoid hemorrhage for acute headache. , 2013, JAMA.

[18]  Fatih Basçiftçi,et al.  Using reduced rule base with Expert System for the diagnosis of disease in hypertension , 2013, Medical & Biological Engineering & Computing.

[19]  Naomi S. Bardach,et al.  Effect of pay-for-performance incentives on quality of care in small practices with electronic health records: a randomized trial. , 2013, JAMA.

[20]  Honglu Liu,et al.  Introduction to the special issue on information technologies in logistics and service science , 2013, Inf. Technol. Manag..

[21]  M. Dixon-Woods,et al.  Improving quality and safety of care using "technovigilance": an ethnographic case study of secondary use of data from an electronic prescribing and decision support system. , 2013, The Milbank quarterly.

[22]  Todd H. Stokes,et al.  Pathology imaging informatics for quantitative analysis of whole-slide images , 2013, Journal of the American Medical Informatics Association : JAMIA.

[23]  L. Svensson,et al.  Developing a decision support system for geriatric patients in prehospital care , 2013, European journal of emergency medicine : official journal of the European Society for Emergency Medicine.

[24]  Guy A. Dumont,et al.  An Evaluation of an Expert System for Detecting Critical Events During Anesthesia in a Human Patient Simulator: A Prospective Randomized Controlled Study , 2013, Anesthesia and analgesia.

[25]  I-Chiu Chang,et al.  Developing a disability determination model using a decision support system in Taiwan: a pilot study. , 2013, Journal of the Formosan Medical Association = Taiwan yi zhi.

[26]  Gerard C Kelly,et al.  Further shrinking the malaria map: how can geospatial science help to achieve malaria elimination? , 2013, The Lancet. Infectious diseases.

[27]  Mor Peleg,et al.  Computer-interpretable clinical guidelines: A methodological review , 2013, J. Biomed. Informatics.

[28]  Marc B Rosenman,et al.  A regional informatics platform for coordinated antibiotic-resistant infection tracking, alerting, and prevention. , 2013, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[29]  Young-Ho Lee,et al.  A Study of Cardiovascular Disease Prediction Models Using Discriminant Analysis , 2013, 2013 International Conference on Information Science and Applications (ICISA).

[30]  Kathy L. MacLaughlin,et al.  Formative evaluation of the accuracy of a clinical decision support system for cervical cancer screening , 2013, Journal of the American Medical Informatics Association : JAMIA.

[31]  C. Forrest,et al.  Improving Adherence to Otitis Media Guidelines With Clinical Decision Support and Physician Feedback , 2013, Pediatrics.

[32]  Arch G. Mainous,et al.  Impact of a clinical decision support system on antibiotic prescribing for acute respiratory infections in primary care: quasi-experimental trial , 2013, J. Am. Medical Informatics Assoc..

[33]  Brian W. Pickering,et al.  Connecting the dots: rule-based decision support systems in the modern EMR era , 2013, Journal of Clinical Monitoring and Computing.

[34]  Antonio Colombo,et al.  Anatomical and clinical characteristics to guide decision making between coronary artery bypass surgery and percutaneous coronary intervention for individual patients: development and validation of SYNTAX score II , 2013, The Lancet.

[35]  R Brian Haynes,et al.  Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials , 2013, BMJ : British Medical Journal.

[36]  Anant Madabhushi,et al.  Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS , 2013, Medical Image Anal..

[37]  John D. McGreevey,et al.  Order sets in electronic health records: principles of good practice. , 2013, Chest.

[38]  S. Ornstein,et al.  Use of an Electronic Health Record Clinical Decision Support Tool to Improve Antibiotic Prescribing for Acute Respiratory Infections: The ABX-TRIP Study , 2013, Journal of General Internal Medicine.

[39]  L. Li,et al.  An emergency response decision support system framework for application in e-government , 2012, Inf. Technol. Manag..

[40]  Hong Wang,et al.  Knowledge management component in managing human resources for enterprises , 2012, Inf. Technol. Manag..

[41]  Adam P. Gibson,et al.  Recommendations for research design and reporting in computer-assisted diagnosis to facilitate meta-analysis , 2012, J. Biomed. Informatics.

[42]  S. Steele,et al.  Clinical Decision Support and Individualized Prediction of Survival in Colon Cancer: Bayesian Belief Network Model , 2012, Annals of Surgical Oncology.

[43]  Monica Chiarini Tremblay,et al.  Identifying fall-related injuries: Text mining the electronic medical record , 2009, Inf. Technol. Manag..

[44]  Jian-Bo Yang,et al.  Clinical Decision Support Systems: A Review on Knowledge Representation and Inference Under Uncertainties , 2008, Int. J. Comput. Intell. Syst..

[45]  Stephen B. Johnson,et al.  Conceptual knowledge acquisition in biomedicine: A methodological review , 2007, J. Biomed. Informatics.

[46]  Alea M. Fairchild.  Decision management: Role and effect of using an intelligent intermediary to aid in information sharing , 2006, Inf. Technol. Manag..

[47]  Anne Kao,et al.  Natural Language Processing and Text Mining , 2006 .

[48]  Jessica L. Milstead,et al.  ASIS&T thesaurus of information science, technology, and librarianship , 2005 .

[49]  P. Groenen,et al.  Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation , 2005 .

[50]  Hsinchun Chen,et al.  Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Operations Research/Computer Science Interfaces) , 2005 .

[51]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[52]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[53]  Henry G. Small,et al.  Mapping the dynamics of science and technology , 1988, Scientometrics.

[54]  Fumie Yokota,et al.  Value of Information Literature Analysis: A Review of Applications in Health Risk Management , 2004, Medical decision making : an international journal of the Society for Medical Decision Making.

[55]  R. Grol,et al.  Patient characteristics as predictors of primary health care preferences: a systematic literature analysis , 2003, Health expectations : an international journal of public participation in health care and health policy.

[56]  J. Beilby,et al.  A discussion of cases in the 2001 RCPA‐AQAP Chemical Pathology Case Report Comments Program , 2003, Pathology.

[57]  Ronald N. Kostoff,et al.  Text mining using database tomography and bibliometrics: A review , 2001 .

[58]  Ah-Hwee Tan,et al.  Text Mining: The state of the art and the challenges , 2000 .

[59]  Ronald N. Kostoff,et al.  Database Tomography for Technical Intelligence: A Roadmap of the Near-Earth Space Science and Technology Literature , 1998, Inf. Process. Manag..

[60]  Ronald N. Kostoff,et al.  Database tomography for technical intelligence , 1993 .

[61]  G O Barnett,et al.  Quality assurance through automated monitoring and concurrent feedback using a computer-based medical information system. , 1978, Medical care.

[62]  K. Atsumi.  [Medical information system]. , 1974, Iyo denshi to seitai kogaku. Japanese journal of medical electronics and biological engineering.