Health Monitoring and Personalized Feedback using Multimedia Data

This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive quality care and the prolongation of independent living at home. With sophisticated technologies in monitoring, diagnosis, and treatment, multimodal data plays an increasingly central role in healthcare. Experts in computer vision, image processing, medical imaging, biomedical engineering, medical informatics, physical education and motor control, visual learning, nursing and human sciences, information retrieval, content based image retrieval, eHealth, information fusion, multimedia communications and human computer interaction come together to provide athorough overview of multimedia analysis in medicine and daily life.

[1]  A. Gallagher,et al.  Cancer recording and mortality in the General Practice Research Database and linked cancer registries , 2013, Pharmacoepidemiology and drug safety.

[2]  A Rosemary Tate,et al.  Using free text information to explore how and when GPs code a diagnosis of ovarian cancer: an observational study using primary care records of patients with ovarian cancer , 2011, BMJ Open.

[3]  R. Lawrenson,et al.  Clinical information for research; the use of general practice databases. , 1999, Journal of public health medicine.

[4]  C. Weel,et al.  The use of routinely collected computer data for research in primary care: opportunities and challenges. , 2006, Family practice.

[5]  Daniel Prieto-Alhambra,et al.  Construction and validation of a scoring system for the selection of high-quality data in a Spanish population primary care database (SIDIAP). , 2011, Informatics in primary care.

[6]  J A Knottnerus,et al.  Completeness of cancer registration in Limburg, The Netherlands. , 1993, International journal of epidemiology.

[7]  Chunhua Weng,et al.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research , 2013, J. Am. Medical Informatics Assoc..

[8]  Evangelos Kontopantelis,et al.  Can analyses of electronic patient records be independently and externally validated? The effect of statins on the mortality of patients with ischaemic heart disease: a cohort study with nested case–control analysis , 2014, BMJ Open.

[9]  Johan Lindbäck,et al.  Long-term outcomes with drug-eluting stents versus bare-metal stents in Sweden. , 2007, The New England journal of medicine.

[10]  H A Guess,et al.  The utility of the general practice research database to examine selected congenital heart defects: a validation study , 2007, Pharmacoepidemiology and drug safety.

[11]  Greta Rait,et al.  Optimising Use of Electronic Health Records to Describe the Presentation of Rheumatoid Arthritis in Primary Care: A Strategy for Developing Code Lists , 2013, PloS one.

[12]  T. V. van Staa,et al.  Recent advances in the utility and use of the General Practice Research Database as an example of a UK Primary Care Data resource , 2012, Therapeutic advances in drug safety.

[13]  Simon de Lusignan,et al.  A Survey to Identify the Clinical Coding and Classification Systems Currently in Use Across Europe , 2001, MedInfo.

[14]  Helen Ogden,et al.  Research Paper: Data Quality of General Practice Electronic Health Records: The Impact of a Program of Assessments, Feedback, and Training , 2004, J. Am. Medical Informatics Assoc..

[15]  Natalia Beloff,et al.  Exploiting the potential of large databases of electronic health records for research using rapid search algorithms and an intuitive query interface , 2013, J. Am. Medical Informatics Assoc..

[16]  Claus Bossen,et al.  Evaluation of a computerized problem-oriented medical record in a hospital department: Does it support daily clinical practice? , 2007, Int. J. Medical Informatics.

[17]  Alessandro Brunelli,et al.  Task-independent metrics to assess the data quality of medical registries using the European Society of Thoracic Surgeons (ESTS) Database. , 2011, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[18]  J. Steiner,et al.  A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research. , 2012, Medical care.

[19]  L. Weed.  Medical records that guide and teach. , 1968, The New England journal of medicine.

[20]  A. Spector,et al.  Reminiscence therapy for dementia. , 2000, The Cochrane database of systematic reviews.

[21]  Spiros C. Denaxas,et al.  Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study , 2013, BMJ.

[22]  Evangelos Kontopantelis,et al.  Relationship between quality of care and choice of clinical computing system: retrospective analysis of family practice performance under the UK's quality and outcomes framework , 2013, BMJ Open.

[23]  Valerie Beral,et al.  UK cancer survival statistics , 2010, BMJ : British Medical Journal.

[24]  C. Woods,et al.  Impact of different definitions on estimates of accuracy of the diagnosis data in a clinical database. , 2001, Journal of clinical epidemiology.

[25]  K. Bhaskaran,et al.  Representativeness and optimal use of body mass index (BMI) in the UK Clinical Practice Research Datalink (CPRD) , 2013, BMJ Open.

[26]  Carlos Sáez,et al.  Organizing data quality assessment of shifting biomedical data. , 2012, Studies in health technology and informatics.

[27]  J BELLIKA,et al.  ropagation of program control : A tool for istributed disease surveillance ohan , 2007 .

[28]  L. Smeeth,et al.  Validation and validity of diagnoses in the General Practice Research Database: a systematic review , 2010, British journal of clinical pharmacology.

[29]  Ronald M. Salomon,et al.  Research paper: Openness of patients' reporting with use of electronic records: psychiatric clinicians' views , 2010, J. Am. Medical Informatics Assoc..

[30]  Lisa Szatkowski,et al.  The impact of the Quality and Outcomes Framework (QOF) on the recording of smoking targets in primary care medical records: cross-sectional analyses from The Health Improvement Network (THIN) database , 2012, BMC Public Health.

[31]  J Berkel,et al.  General practitioners and completeness of cancer registry. , 1990, Journal of epidemiology and community health.

[32]  S. de Lusignan.  Codes, classifications, terminologies and nomenclatures: definition, development and application in practice. , 2005, Informatics in primary care.

[33]  H. Goldstein,et al.  Evaluating bias due to data linkage error in electronic healthcare records , 2014, BMC Medical Research Methodology.

[34]  J Braithwaite,et al.  Unintended consequences of performance measurement in healthcare: 20 salutary lessons from the English National Health Service , 2012, Internal medicine journal.

[35]  Joseph Moses Juran,et al.  Quality-control handbook , 1951 .

[36]  Mark Griffin,et al.  Recent trends in the incidence of recorded depression in primary care , 2009, British Journal of Psychiatry.