Data for: The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes
Main Author: | Heider, Dominik |
---|---|
Other Authors: | Menrad, Klaus, Spänig, Sebastian, Canbay, Ali, Emberger-Klein, Agnes, Sowa, Jan-Peter |
Format: | Dataset |
Terbitan: |
Mendeley
, 2019
|
Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/j96sm5cvff |
ctrlnum |
0.17632-j96sm5cvff.1 |
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fullrecord |
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<dc><creator>Heider, Dominik</creator><title>Data for: The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes</title><publisher>Mendeley</publisher><description>survey data</description><subject>Artificial Intelligence</subject><contributor>Menrad, Klaus</contributor><contributor>Spänig, Sebastian</contributor><contributor>Canbay, Ali</contributor><contributor>Emberger-Klein, Agnes</contributor><contributor>Sowa, Jan-Peter</contributor><type>Other:Dataset</type><identifier>10.17632/j96sm5cvff.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/j96sm5cvff</relation><date>2019-08-31T09:20:27Z</date><date>2020-02-19T00:00:00Z</date><recordID>0.17632-j96sm5cvff.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
Heider, Dominik |
author2 |
Menrad, Klaus Spänig, Sebastian Canbay, Ali Emberger-Klein, Agnes Sowa, Jan-Peter |
title |
Data for: The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes |
publisher |
Mendeley |
publishDate |
2019 |
topic |
Artificial Intelligence |
url |
https:/data.mendeley.com/datasets/j96sm5cvff |
contents |
survey data |
id |
IOS7969.0.17632-j96sm5cvff.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:31:07Z |
last_indexed |
2020-04-08T08:31:07Z |
recordtype |
dc |
_version_ |
1686587759551053824 |
score |
17.538404 |