| Título: | Finding Anomalies in Medicare |
| Autores: |
Pearson, Robert A.; Program Review Division, Medicare Australia, Tuggeranong, ACT Murray, Wayne; Program Review Division, Medicare Australia, Tuggeranong, ACT Mettenmeyer, Thomas; Program Review Division, Medicare Australia, Tuggeranong, ACT |
| Fecha: | 2006-03-22 |
| Publicador: | Electronic journal of health informatics |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Publication |
| Tema: |
Machine Learning; Atypical Behaviour; Neural Networks; Boosted Regression Trees Machine Learning; Atypical Behaviour; Neural Networks; Boosted Regression Trees |
| Descripción: | The general behaviour of a medical practitioner can be assessed by metrics related to the services rendered. The values of these variables are inter-related and also related to the demographics of the practice. If there is a functional form that relates specified metrics to the others and the demographics, machine learning techniques can be used to determine the function. Both boosted regression trees and feedforward neural networks trained with backpropogation are used to learn a functional form. Where the predicted value of the function does not match the actual one, the behaviour is anomalous. This may be because there is fraud. Another technique for determining atypical behaviour is to reconstruct a value from the significant principal component scores, and compare this to the actual ones. Self organising maps can also be used to find similar, and dissimilar patterns. Both the targets themselves and the Karhunen-Loeve transform are used to train self organising maps. The coordinates on these maps are used to compare the doctors identified by the various techniques. |
| Idioma: | Inglés |
1 Editor's Introduction to this Journal: Advancing Health Informatics and the Use of Information, Knowledge and Communication Technologies in Health Care por Hovenga, Evelyn JS; Health Informatics Research Group, Central Queensland University | 6 Empowering Patients through Personal Health Records: A Survey of Existing Third-Party Web-Based PHR Products por Helmer, Axel; OFFIS,Lipprandt, Myriam,Frenken, Thomas; OFFIS,Eichelberg, Marco; OFFIS,Hein, Andreas; OFFIS, University of Oldenburg |
2 An Encrypted Email Application for Paediatric and Adolescent Mental Health Teleconsultations por Caffery, Liam Joseph; Centre for Online Health, University of Queensland, Brisbane, Australia,Stathis, Stephen; Child and Youth Mental Health Services, Royal Children's Hospital, University of Queensland, Brisbane, Australia,Smith, Anthony C; Centre for Online Health, University of Queensland, Brisbane, Australia | 7 From Troubleshooting to EMR Optimization: IT Support in a General Practice Setting por Tolar, Marianne; Assessment of Technology in Context Design Lab, School of Communication, Simon Fraser University,
Burnaby BC, Canada,Balka, Ellen; Assessment of Technology in Context Design Lab, School of Communication, Simon Fraser University,
Burnaby BC, Canada
Centre for Clinical Epidemiology & Evaluation, Vancouver BC, Canada |
3 Videophone Delivery of Medication Management in Community Nursing por Wade, Victoria Anne; Discipline of Public Health, University of Adelaide, South Australia,Izzo, Jo; Royal District Nursing Service of South Australia,Hamlyn, Jeremy; VidCo | 8 Health Information-seeking Behaviour on the Internet and Health Literacy among Older Australians por Lam, Mary K; The University of Sydney,Lam, Lawrence T; The University of Notre Dame Australia |
4 The use of standard content specifications in a national health interoperability framework por Heard, Sam; University College London | 9 Epidemiological data mining of cardiovascular Bayesian networks por Twardy, Charles R; Clayton School of Information Technology, Monash University,Nicholson, Ann E; Clayton School of Information Technology, Monash University,Korb, Kevin B; Clayton School of Information Technology, Monash University,McNeil, John; Department of Epidemiology & Preventive Medicine, Monash University |
5 A SpatioTemporal Model for Seasonal Influenza por Edlund, Stefan; IBM Almaden Research Center,Bromberg, Michal; Israel Center for Disease Control,Chodick, Gabriel; Maccabi Health Care Services,Douglas, Judith; IBM Almaden Research Center,Ford, Daniel; IBM Almaden Research Center,Kaufman, Zalman; Israel Center for Disease Control,Lessler, Justin; Johns Hopkins School of Public Health,Marom, Rachel; Maccabi Health Care Services,Mesika, Yossi; IBM Haifa Research Center,Ram, Roni; IBM Haifa Research Center,Shalev, Varda; Maccabi Health Care Services,Kaufman, James; IBM Almaden Research Center | 10 Managing archetypes for sustainable and semantically interoperable electronic health records por Garde, Sebastian; Health Informatics Research Group, Central Queensland University; ACACI Austin Health,Hovenga, Evelyn JS; Health Informatics Research Group, Central Queensland University,Gränz, Jana; Health Informatics Research Group, Central Queensland University; University of Applied Sciences Ulm, Germany,Foozonkhah, Shahla; Health Informatics Research Group, Central Queensland University; Tabriz Medical Sciences University, Tabriz, Iran,Heard, Sam; Health Informatics Research Group, Central Queensland University; Ocean Informatics |