TY - JOUR
T1 - Synergistic case-based reasoning in medical domains
AU - Marling, Cindy
AU - Montani, Stefania
AU - Bichindaritz, Isabelle
AU - Funk, Peter
N1 - Funding Information:
Work on the RHENE system has been supported with funding from the Italian Ministry of Education (within the project MIUR PRIN – 2004–2006 – Intelligent Analysis of Hemodialysis Monitoring Data to Improve Care Processes), and by Regione Piemonte (within the project Regione Piemonte-Polo Innovazione ICT – 2010–2012 – MASP: Ricerca e Sviluppo Sperimentale di un Sistema per il Controllo a Distanza di Aree Sensibili e Protette, Finalizzato all’Erogazione di Servizi Innovativi Orientati al Monitoraggio Cognitivo ed Attuativo di Politiche Ambientali).
Funding Information:
Work on the 4DSS is supported, in part, with funding from the National Science Foundation under the Smart Health and Wellbeing program (award IIS-1117489). Additional support comes from Medtronic, the Ohio University Russ College Biomedical Engineering Fund, the Ohio University Heritage College of Osteopathic Medicine Research and Scholarly Affairs Committee, and the Ohio University Diabetes Research Initiative.
Funding Information:
Work on CARE-PARTNER was supported by Grant R01HS09407 from the Agency on Health Care Policy and Research (AHCPR) , and by a Scholarship Grant from the University of Washington, Tacoma.
Funding Information:
Work on the MSS has been supported by funding from: the Swedish Knowledge Foundation Project AIM, Artificial Intelligence for medical application: Diagnosing stress based on psychophysiological sensors, project number 2001/0068 (2002–2004); IPOS, Intelligent integrated sensor systems for diagnosis, treatment and healthcare, project number KKS HÖG 2004/0341 (2005–2008); Improved productivity and life quality through reduced stress, Sparbanksstiftelsen Nya, project reference 2081 (2009); and Multi-sensors for stress monitoring, NovaMedTech, FP7 68737 (2008–2011).
PY - 2014
Y1 - 2014
N2 - This paper presents four synergistic systems that exemplify the approaches and benefits of case-based reasoning in medical domains. It then explores how these systems couple Artificial Intelligence (AI) research with medical research and practice, integrate multiple AI and computing methodologies, leverage small numbers of available cases, reason with time series data, and integrate numeric data with contextual and subjective information. The following systems are presented: (1) CARE-PARTNER, which supports the long-term follow-up care of stem-cell transplantation patients; (2) the 4 Diabetes Support System, which aids in managing patients with type 1 diabetes on insulin pump therapy; (3) Retrieval of HEmodialysis in NEphrological Disorders, which supports hemodialysis treatment of patients with end stage renal disease; and (4) the Mälardalen Stress System, which aids in the diagnosis and treatment of stress-related disorders.
AB - This paper presents four synergistic systems that exemplify the approaches and benefits of case-based reasoning in medical domains. It then explores how these systems couple Artificial Intelligence (AI) research with medical research and practice, integrate multiple AI and computing methodologies, leverage small numbers of available cases, reason with time series data, and integrate numeric data with contextual and subjective information. The following systems are presented: (1) CARE-PARTNER, which supports the long-term follow-up care of stem-cell transplantation patients; (2) the 4 Diabetes Support System, which aids in managing patients with type 1 diabetes on insulin pump therapy; (3) Retrieval of HEmodialysis in NEphrological Disorders, which supports hemodialysis treatment of patients with end stage renal disease; and (4) the Mälardalen Stress System, which aids in the diagnosis and treatment of stress-related disorders.
KW - Case-based reasoning
KW - Clinical decision support systems
KW - Medical informatics
UR - https://www.scopus.com/pages/publications/84885960318
U2 - 10.1016/j.eswa.2013.05.063
DO - 10.1016/j.eswa.2013.05.063
M3 - Article
SN - 0957-4174
VL - 41
SP - 249
EP - 259
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 2
ER -
SDG 3 Good Health and Well-being