Kang et al., 2011 - Google Patents
An Empirical Model for the Prediction of Hemodialysis System PerformanceKang et al., 2011
View PDF- Document ID
- 6431286736780229109
- Author
- Kang J
- Jariwala A
- Rosen D
- Publication year
- Publication venue
- ASME International Mechanical Engineering Congress and Exposition
External Links
Snippet
The examination of steady state behavior of hemodialysis treatment using the analytical model created by Olson et al. revealed that for each set of hemodialysis conditions, a fixed time constant exists that dictates how quickly the patient's waste level cycle reaches a steady …
- 238000001631 haemodialysis 0 title abstract description 36
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20220218886A1 (en) | Therapy prediction and optimization for renal failure blood therapy | |
US20190247124A1 (en) | Systems and methods for simulation of hemodialysis access and optimization | |
AU2011239489B2 (en) | Therapy prediction and optimization for renal failure blood therapy, especially home hemodialysis | |
US8696613B2 (en) | Peritoneal dialysis system | |
US8444593B2 (en) | Method for testing peritoneum function and a peritoneal dialysis planning apparatus | |
EP3229159B1 (en) | Optimization of serum potassium for renal failure blood therapy, especially home hemodialysis | |
Assemat et al. | Three-dimensional numerical simulation of blood flow in mouse aortic arch around atherosclerotic plaques | |
Bartroff et al. | Incorporating individual and collective ethics into phase I cancer trial designs | |
Formaggia et al. | The circulatory system: from case studies to mathematical modeling | |
Kang et al. | An Empirical Model for the Prediction of Hemodialysis System Performance | |
US20240390564A1 (en) | Device for providing dialysis information and program for providing dialysis information | |
McAllister | Modeling and control of hemoglobin for anemia management in chronic kidney disease | |
Ray et al. | Artificial intelligence approach to determine minimum dose of haemodialysis | |
Pinter et al. | Using fuzzy logics to determine optimal oversampling factor for voxelizing 3D surfaces in radiation therapy | |
Neuholz | 3D characterization of vascular architectures in experimental tumors based on LSFM microscopy and simulation of the oxygen distributions | |
Swanson | The Development of a Patient-Specific, Open Source Computational Fluid Dynamics Tool to Comprehensively and Innovatively Study Coarctation of the Aorta in a Limited Resource Clinical Context | |
CN100556471C (en) | Method for testing peritoneal function and equipment for peritoneal dialysis planning | |
Ray et al. | Machine learning in medicine: calculating the minimum dose of haemodialysis using neural networks | |
Chakraborty et al. | Planning Intervention for Hemodialysis Patients-A Stochastic Control Approach | |
Donahue | Computational Feasibility of Simulating Whole-Organ Vascular Networks and their Response to Injury | |
Miller | Implementation of Adaptive Randomizations for Clinical Trials | |
AU2017202959A1 (en) | Therapy prediction and optimization for renal failure blood therapy, especially home hemodialysis | |
McKinnon | Computing calcium dynamics in man |