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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: IDE, LUCIENNE MARIE, ALBISSER, ANTHONY MICHAEL
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&amp;date=20140130&amp;DB=EPODOC&amp;CC=CA&amp;NR=2880202A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20140130&amp;DB=EPODOC&amp;CC=CA&amp;NR=2880202A1$$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