IMPROVED GLUCOSE MANAGEMENT THROUGH MODELING OF CIRCADIAN PROFILES
A computer-implemented system (10) and method (20) for managing diabetes with circadian profiles is provided. A plurality of records containing a circadian profile is stored in a database (14). The circadian profile includes meal period categories (53), typical measurements of pre-meal and post-meal...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Patent |
Sprache: | eng ; fre |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | IDE, LUCIENNE MARIE ALBISSER, ANTHONY MICHAEL |
description | A computer-implemented system (10) and method (20) for managing diabetes with circadian profiles is provided. A plurality of records containing a circadian profile is stored in a database (14). The circadian profile includes meal period categories (53), typical measurements of pre-meal and post-meal self-measured blood glucose occurring over a recent observational time frame, and diabetes medication (55) dosed during each of the meal period categories (53). An executable application (15) is used to model predicted blood glucose levels, including collecting the self-measured blood glucose measurements, determining and visualizing expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors (84), propagating a suggested incremental change in dosing of the medication (55), and adjusting the visualized expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors based on pharmacodynamics of the medication (55) in proportion to the incremental change in dosing. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CA2880202A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CA2880202A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CA2880202A13</originalsourceid><addsrcrecordid>eNrjZHDy9A0I8g9zdVFw9wl19g92VfB19HN0d_V19QtRCPEI8g9191Dw9Xdx9fH0c1fwd1Nw9gxydnTxdPRTAOpz8_RxDeZhYE1LzClO5YXS3AwKbq4hzh66qQX58anFBYnJqXmpJfHOjkYWFgZGBkaOhsZEKAEAt0Qqtw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>IMPROVED GLUCOSE MANAGEMENT THROUGH MODELING OF CIRCADIAN PROFILES</title><source>esp@cenet</source><creator>IDE, LUCIENNE MARIE ; ALBISSER, ANTHONY MICHAEL</creator><creatorcontrib>IDE, LUCIENNE MARIE ; ALBISSER, ANTHONY MICHAEL</creatorcontrib><description>A computer-implemented system (10) and method (20) for managing diabetes with circadian profiles is provided. A plurality of records containing a circadian profile is stored in a database (14). The circadian profile includes meal period categories (53), typical measurements of pre-meal and post-meal self-measured blood glucose occurring over a recent observational time frame, and diabetes medication (55) dosed during each of the meal period categories (53). An executable application (15) is used to model predicted blood glucose levels, including collecting the self-measured blood glucose measurements, determining and visualizing expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors (84), propagating a suggested incremental change in dosing of the medication (55), and adjusting the visualized expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors based on pharmacodynamics of the medication (55) in proportion to the incremental change in dosing.</description><language>eng ; fre</language><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2014</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140130&DB=EPODOC&CC=CA&NR=2880202A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140130&DB=EPODOC&CC=CA&NR=2880202A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>IDE, LUCIENNE MARIE</creatorcontrib><creatorcontrib>ALBISSER, ANTHONY MICHAEL</creatorcontrib><title>IMPROVED GLUCOSE MANAGEMENT THROUGH MODELING OF CIRCADIAN PROFILES</title><description>A computer-implemented system (10) and method (20) for managing diabetes with circadian profiles is provided. A plurality of records containing a circadian profile is stored in a database (14). The circadian profile includes meal period categories (53), typical measurements of pre-meal and post-meal self-measured blood glucose occurring over a recent observational time frame, and diabetes medication (55) dosed during each of the meal period categories (53). An executable application (15) is used to model predicted blood glucose levels, including collecting the self-measured blood glucose measurements, determining and visualizing expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors (84), propagating a suggested incremental change in dosing of the medication (55), and adjusting the visualized expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors based on pharmacodynamics of the medication (55) in proportion to the incremental change in dosing.</description><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2014</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDy9A0I8g9zdVFw9wl19g92VfB19HN0d_V19QtRCPEI8g9191Dw9Xdx9fH0c1fwd1Nw9gxydnTxdPRTAOpz8_RxDeZhYE1LzClO5YXS3AwKbq4hzh66qQX58anFBYnJqXmpJfHOjkYWFgZGBkaOhsZEKAEAt0Qqtw</recordid><startdate>20140130</startdate><enddate>20140130</enddate><creator>IDE, LUCIENNE MARIE</creator><creator>ALBISSER, ANTHONY MICHAEL</creator><scope>EVB</scope></search><sort><creationdate>20140130</creationdate><title>IMPROVED GLUCOSE MANAGEMENT THROUGH MODELING OF CIRCADIAN PROFILES</title><author>IDE, LUCIENNE MARIE ; ALBISSER, ANTHONY MICHAEL</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CA2880202A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2014</creationdate><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>IDE, LUCIENNE MARIE</creatorcontrib><creatorcontrib>ALBISSER, ANTHONY MICHAEL</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>IDE, LUCIENNE MARIE</au><au>ALBISSER, ANTHONY MICHAEL</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IMPROVED GLUCOSE MANAGEMENT THROUGH MODELING OF CIRCADIAN PROFILES</title><date>2014-01-30</date><risdate>2014</risdate><abstract>A computer-implemented system (10) and method (20) for managing diabetes with circadian profiles is provided. A plurality of records containing a circadian profile is stored in a database (14). The circadian profile includes meal period categories (53), typical measurements of pre-meal and post-meal self-measured blood glucose occurring over a recent observational time frame, and diabetes medication (55) dosed during each of the meal period categories (53). An executable application (15) is used to model predicted blood glucose levels, including collecting the self-measured blood glucose measurements, determining and visualizing expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors (84), propagating a suggested incremental change in dosing of the medication (55), and adjusting the visualized expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors based on pharmacodynamics of the medication (55) in proportion to the incremental change in dosing.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng ; fre |
recordid | cdi_epo_espacenet_CA2880202A1 |
source | esp@cenet |
subjects | HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
title | IMPROVED GLUCOSE MANAGEMENT THROUGH MODELING OF CIRCADIAN PROFILES |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T09%3A12%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=IDE,%20LUCIENNE%20MARIE&rft.date=2014-01-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECA2880202A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |