SYSTEM AND METHOD FOR COGNITIVE TRAINING AND MONITORING
Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users wi...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Patent |
Sprache: | eng ; fre ; ger |
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 | GILUTZ, Yael IZOUTCHEEV, Anna GRANOT, Shai |
description | Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users with known characteristics, receiving new user feedback, and determining a prediction of the Database training success rate with the at least one machine learning algorithm based on the received new user feedback. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP3975846A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP3975846A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP3975846A13</originalsourceid><addsrcrecordid>eNrjZDAPjgwOcfVVcPRzUfB1DfHwd1Fw8w9ScPZ39_MM8QxzVQgJcvT08_Rzh6jwB4r6BwG5PAysaYk5xam8UJqbQcHNNcTZQze1ID8-tbggMTk1L7Uk3jXA2NLc1MLEzNHQmAglAPW3J_c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>SYSTEM AND METHOD FOR COGNITIVE TRAINING AND MONITORING</title><source>esp@cenet</source><creator>GILUTZ, Yael ; IZOUTCHEEV, Anna ; GRANOT, Shai</creator><creatorcontrib>GILUTZ, Yael ; IZOUTCHEEV, Anna ; GRANOT, Shai</creatorcontrib><description>Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users with known characteristics, receiving new user feedback, and determining a prediction of the Database training success rate with the at least one machine learning algorithm based on the received new user feedback.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DIAGNOSIS ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY</subject><creationdate>2022</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=20220406&DB=EPODOC&CC=EP&NR=3975846A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220406&DB=EPODOC&CC=EP&NR=3975846A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GILUTZ, Yael</creatorcontrib><creatorcontrib>IZOUTCHEEV, Anna</creatorcontrib><creatorcontrib>GRANOT, Shai</creatorcontrib><title>SYSTEM AND METHOD FOR COGNITIVE TRAINING AND MONITORING</title><description>Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users with known characteristics, receiving new user feedback, and determining a prediction of the Database training success rate with the at least one machine learning algorithm based on the received new user feedback.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDAPjgwOcfVVcPRzUfB1DfHwd1Fw8w9ScPZ39_MM8QxzVQgJcvT08_Rzh6jwB4r6BwG5PAysaYk5xam8UJqbQcHNNcTZQze1ID8-tbggMTk1L7Uk3jXA2NLc1MLEzNHQmAglAPW3J_c</recordid><startdate>20220406</startdate><enddate>20220406</enddate><creator>GILUTZ, Yael</creator><creator>IZOUTCHEEV, Anna</creator><creator>GRANOT, Shai</creator><scope>EVB</scope></search><sort><creationdate>20220406</creationdate><title>SYSTEM AND METHOD FOR COGNITIVE TRAINING AND MONITORING</title><author>GILUTZ, Yael ; IZOUTCHEEV, Anna ; GRANOT, Shai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3975846A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>GILUTZ, Yael</creatorcontrib><creatorcontrib>IZOUTCHEEV, Anna</creatorcontrib><creatorcontrib>GRANOT, Shai</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GILUTZ, Yael</au><au>IZOUTCHEEV, Anna</au><au>GRANOT, Shai</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEM AND METHOD FOR COGNITIVE TRAINING AND MONITORING</title><date>2022-04-06</date><risdate>2022</risdate><abstract>Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users with known characteristics, receiving new user feedback, and determining a prediction of the Database training success rate with the at least one machine learning algorithm based on the received new user feedback.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng ; fre ; ger |
recordid | cdi_epo_espacenet_EP3975846A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
title | SYSTEM AND METHOD FOR COGNITIVE TRAINING AND MONITORING |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T06%3A41%3A15IST&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=GILUTZ,%20Yael&rft.date=2022-04-06&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP3975846A1%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 |