Kirchsteiger et al., 2014 - Google Patents
Continuous-time interval model identification of blood glucose dynamics for type 1 diabetesKirchsteiger et al., 2014
- Document ID
- 10019307556297245719
- Author
- Kirchsteiger H
- Johansson R
- Renard E
- Re L
- Publication year
- Publication venue
- International Journal of Control
External Links
Snippet
While good physiological models of the glucose metabolism in type 1 diabetic patients are well known, their parameterisation is difficult. The high intra-patient variability observed is a further major obstacle. This holds for data-based models too, so that no good patient-specific …
- WQZGKKKJIJFFOK-GASJEMHNSA-N D-Glucose data:image/svg+xml;base64,<?xml version='1.0' encoding='iso-8859-1'?>
<svg version='1.1' baseProfile='full'
              xmlns='http://www.w3.org/2000/svg'
                      xmlns:rdkit='http://www.rdkit.org/xml'
                      xmlns:xlink='http://www.w3.org/1999/xlink'
                  xml:space='preserve'
width='300px' height='300px' viewBox='0 0 300 300'>
<!-- END OF HEADER -->
<rect style='opacity:1.0;fill:#FFFFFF;stroke:none' width='300.0' height='300.0' x='0.0' y='0.0'> </rect>
<path class='bond-0 atom-0 atom-1' d='M 46.2,132.4 L 54.0,143.9' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-0 atom-0 atom-1' d='M 54.0,143.9 L 61.8,155.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-1 atom-2 atom-1' d='M 113.1,151.7 L 61.5,150.3 L 62.2,160.6 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-2 atom-2 atom-3' d='M 113.1,151.7 L 119.3,139.0' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2 atom-2 atom-3' d='M 119.3,139.0 L 125.4,126.2' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11 atom-10 atom-2' d='M 142.0,194.2 L 113.1,151.7' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 153.2,104.1 L 170.0,102.9' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 170.0,102.9 L 186.8,101.7' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 186.8,101.7 L 192.9,89.0' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 192.9,89.0 L 199.1,76.2' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5 atom-4 atom-6' d='M 186.8,101.7 L 215.6,144.2' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 222.4,144.7 L 222.3,142.7' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 229.2,145.3 L 228.9,141.2' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 236.0,145.8 L 235.5,139.7' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 242.8,146.3 L 242.2,138.1' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 249.6,146.9 L 248.8,136.6' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7 atom-6 atom-8' d='M 215.6,144.2 L 193.2,190.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8 atom-8 atom-9' d='M 193.2,190.5 L 200.1,205.2 L 204.4,202.3 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 200.1,205.2 L 215.5,214.1 L 207.0,219.9 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 200.1,205.2 L 204.4,202.3 L 215.5,214.1 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-9 atom-8 atom-10' d='M 193.2,190.5 L 142.0,194.2' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 138.2,199.7 L 140.0,200.6' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 134.4,205.1 L 138.1,206.9' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 130.6,210.6 L 136.2,213.3' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 126.8,216.1 L 134.2,219.7' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 123.0,221.5 L 132.3,226.0' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<text x='13.6' y='123.2' class='atom-0' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='26.8' y='123.2' class='atom-0' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='129.3' y='115.7' class='atom-3' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='203.0' y='65.7' class='atom-5' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='217.2' y='65.7' class='atom-5' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='260.7' y='150.7' class='atom-7' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='274.9' y='150.7' class='atom-7' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='215.9' y='243.3' class='atom-9' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='230.1' y='243.3' class='atom-9' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='100.3' y='250.8' class='atom-11' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='113.4' y='250.8' class='atom-11' style='font-size:20px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
</svg>
 data:image/svg+xml;base64,<?xml version='1.0' encoding='iso-8859-1'?>
<svg version='1.1' baseProfile='full'
              xmlns='http://www.w3.org/2000/svg'
                      xmlns:rdkit='http://www.rdkit.org/xml'
                      xmlns:xlink='http://www.w3.org/1999/xlink'
                  xml:space='preserve'
width='85px' height='85px' viewBox='0 0 85 85'>
<!-- END OF HEADER -->
<rect style='opacity:1.0;fill:#FFFFFF;stroke:none' width='85.0' height='85.0' x='0.0' y='0.0'> </rect>
<path class='bond-0 atom-0 atom-1' d='M 11.0,34.7 L 14.0,39.1' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-0 atom-0 atom-1' d='M 14.0,39.1 L 17.0,43.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-1 atom-2 atom-1' d='M 31.5,42.5 L 16.9,42.1 L 17.1,45.0 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-2 atom-2 atom-3' d='M 31.5,42.5 L 33.9,37.6' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-2 atom-2 atom-3' d='M 33.9,37.6 L 36.3,32.7' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-11 atom-10 atom-2' d='M 39.7,54.5 L 31.5,42.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 40.1,29.2 L 46.2,28.8' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-3 atom-3 atom-4' d='M 46.2,28.8 L 52.4,28.3' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 52.4,28.3 L 54.8,23.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-4 atom-4 atom-5' d='M 54.8,23.4 L 57.1,18.6' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-5 atom-4 atom-6' d='M 52.4,28.3 L 60.6,40.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 64.8,40.5 L 64.7,39.6' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 68.9,40.7 L 68.8,38.8' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-6 atom-6 atom-7' d='M 73.1,40.9 L 72.9,38.0' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-7 atom-6 atom-8' d='M 60.6,40.4 L 54.3,53.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-8 atom-8 atom-9' d='M 54.3,53.5 L 57.0,58.8 L 58.2,58.0 Z' style='fill:#3B4143;fill-rule:evenodd;fill-opacity:1;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 57.0,58.8 L 62.2,62.5 L 59.8,64.2 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-8 atom-8 atom-9' d='M 57.0,58.8 L 58.2,58.0 L 62.2,62.5 Z' style='fill:#E84235;fill-rule:evenodd;fill-opacity:1;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;' />
<path class='bond-9 atom-8 atom-10' d='M 54.3,53.5 L 39.7,54.5' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 37.5,58.0 L 38.4,58.4' style='fill:none;fill-rule:evenodd;stroke:#3B4143;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 35.3,61.4 L 37.1,62.2' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<path class='bond-10 atom-10 atom-11' d='M 33.1,64.8 L 35.7,66.1' style='fill:none;fill-rule:evenodd;stroke:#E84235;stroke-width:1.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1' />
<text x='3.2' y='34.5' class='atom-0' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='7.0' y='34.5' class='atom-0' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='36.1' y='32.4' class='atom-3' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='57.0' y='18.2' class='atom-5' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='61.1' y='18.2' class='atom-5' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='73.3' y='42.3' class='atom-7' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='77.5' y='42.3' class='atom-7' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='60.6' y='68.5' class='atom-9' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
<text x='64.8' y='68.5' class='atom-9' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='27.7' y='70.6' class='atom-11' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >H</text>
<text x='31.6' y='70.6' class='atom-11' style='font-size:6px;font-style:normal;font-weight:normal;fill-opacity:1;stroke:none;font-family:sans-serif;text-anchor:start;fill:#E84235' >O</text>
</svg>
 OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O 0 title description 39
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
- G06F19/3456—Computer-assisted prescription or delivery of medication, e.g. prescription filling or compliance checking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- 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
- G06F19/3406—Local monitoring or local control of medical devices, e.g. configuration parameters, graphical user interfaces [GUI] or dedicated hardware interfaces
-
- 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
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30289—Database design, administration or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/24—Editing, e.g. insert/delete
-
- 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
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30067—File systems; File servers
- G06F17/30129—Details of further file system functionalities
- G06F17/30144—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
-
- 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
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- 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
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kirchsteiger et al. | Continuous-time interval model identification of blood glucose dynamics for type 1 diabetes | |
Percival et al. | Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters | |
Kovatchev et al. | In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes | |
Neely et al. | Accurate detection of outliers and subpopulations with Pmetrics, a nonparametric and parametric pharmacometric modeling and simulation package for R | |
Ghorbani et al. | A cyber-physical system approach to artificial pancreas design | |
Reymann et al. | Blood glucose level prediction based on support vector regression using mobile platforms | |
Boiroux et al. | An adaptive nonlinear basal-bolus calculator for patients with type 1 diabetes | |
Kirchsteiger et al. | Prediction methods for blood glucose concentration | |
Kovatchev et al. | Accuracy and robustness of dynamical tracking of average glycemia (A1c) to provide real-time estimation of hemoglobin A1c using routine self-monitored blood glucose data | |
Gyuk et al. | Blood glucose level prediction for diabetics based on nutrition and insulin administration logs using personalized mathematical models | |
Panunzi et al. | A revised Sorensen model: Simulating glycemic and insulinemic response to oral and intra-venous glucose load | |
Galvanin et al. | Optimal design of clinical tests for the identification of physiological models of type 1 diabetes mellitus | |
Magni et al. | A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring | |
Herrero et al. | A simple robust method for estimating the glucose rate of appearance from mixed meals | |
Zhang et al. | A data driven nonlinear stochastic model for blood glucose dynamics | |
Hoyos et al. | Identifiability of control-oriented glucose-insulin linear models: review and analysis | |
Biagi et al. | Modeling the error of the medtronic paradigm veo enlite glucose sensor | |
Leon et al. | Neural inverse optimal control applied to type 1 diabetes mellitus patients | |
Dumont et al. | Influence of covariance between random effects in design for nonlinear mixed-effect models with an illustration in pediatric pharmacokinetics | |
Ng et al. | A parsimonious model of blood glucose homeostasis | |
Fu et al. | Hypoglycemic events analysis via recurrent time-to-event (HEART) models | |
Liu et al. | A hybrid neural network model predictive control with zone penalty weights for type 1 diabetes mellitus | |
Ogungbenro et al. | An effective approach for obtaining optimal sampling windows for population pharmacokinetic experiments | |
Kirubakaran et al. | Metaheuristic patient estimation based patient-specific fuzzy aggregated artificial pancreas design | |
Cairoli et al. | Model predictive control of glucose concentration based on signal temporal logic specifications with unknown-meals occurrence |