Dataset Open Access
Davoodi Monfared, Mansoor;
Ghaffari, Mohsen
<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
<leader>00000nmm##2200000uu#4500</leader>
<datafield tag="856" ind1="4" ind2=" ">
<subfield code="s">4016887</subfield>
<subfield code="u">https://rodare.hzdr.de/record/1939/files/DETECTOR_and_PREDICTOR_SYSTEMS-main.7z</subfield>
<subfield code="z">md5:0e7f430a1d7dcd7c77237131075ac748</subfield>
</datafield>
<datafield tag="909" ind1="C" ind2="O">
<subfield code="o">oai:rodare.hzdr.de:1939</subfield>
<subfield code="p">openaire_data</subfield>
<subfield code="p">user-casus</subfield>
<subfield code="p">user-rodare</subfield>
</datafield>
<datafield tag="024" ind1=" " ind2=" ">
<subfield code="a">10.14278/rodare.1939</subfield>
<subfield code="2">doi</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Machine learning</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Trajectory tracking</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Patient prediction</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Hidden Markov model</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Covid-19</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Trajectory clustering</subfield>
</datafield>
<controlfield tag="001">1939</controlfield>
<datafield tag="650" ind1="1" ind2="7">
<subfield code="a">cc-by</subfield>
<subfield code="2">opendefinition.org</subfield>
</datafield>
<datafield tag="100" ind1=" " ind2=" ">
<subfield code="a">Davoodi Monfared, Mansoor</subfield>
<subfield code="0">(orcid)0000-0003-1010-4121</subfield>
</datafield>
<datafield tag="700" ind1=" " ind2=" ">
<subfield code="a">Ghaffari, Mohsen</subfield>
<subfield code="u">Department of Computer Science, IT University of Copenhagen, Copenhagen, 2300, Denmark</subfield>
</datafield>
<datafield tag="245" ind1=" " ind2=" ">
<subfield code="a">Data publication: Learning-based systems for assessing hazard places of contagious diseases and diagnosing patient possibility</subfield>
</datafield>
<datafield tag="980" ind1=" " ind2=" ">
<subfield code="a">dataset</subfield>
</datafield>
<controlfield tag="005">20221110081354.0</controlfield>
<datafield tag="260" ind1=" " ind2=" ">
<subfield code="c">2022-11-09</subfield>
</datafield>
<datafield tag="773" ind1=" " ind2=" ">
<subfield code="a">10.1016/j.eswa.2022.119043</subfield>
<subfield code="i">isReferencedBy</subfield>
<subfield code="n">doi</subfield>
</datafield>
<datafield tag="773" ind1=" " ind2=" ">
<subfield code="a">https://www.hzdr.de/publications/Publ-35381</subfield>
<subfield code="i">isReferencedBy</subfield>
<subfield code="n">url</subfield>
</datafield>
<datafield tag="773" ind1=" " ind2=" ">
<subfield code="a">https://www.hzdr.de/publications/Publ-35419</subfield>
<subfield code="i">isIdenticalTo</subfield>
<subfield code="n">url</subfield>
</datafield>
<datafield tag="773" ind1=" " ind2=" ">
<subfield code="a">10.14278/rodare.1938</subfield>
<subfield code="i">isVersionOf</subfield>
<subfield code="n">doi</subfield>
</datafield>
<datafield tag="540" ind1=" " ind2=" ">
<subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
<subfield code="a">Creative Commons Attribution 4.0 International</subfield>
</datafield>
<datafield tag="542" ind1=" " ind2=" ">
<subfield code="l">open</subfield>
</datafield>
<datafield tag="980" ind1=" " ind2=" ">
<subfield code="a">user-casus</subfield>
</datafield>
<datafield tag="980" ind1=" " ind2=" ">
<subfield code="a">user-rodare</subfield>
</datafield>
<datafield tag="041" ind1=" " ind2=" ">
<subfield code="a">eng</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a"><p>The codes and data for the paper &quot;Learning-based systems for assessing hazard places of contagious diseases and diagnosing patient possibility&quot;</p></subfield>
</datafield>
</record>
| All versions | This version | |
|---|---|---|
| Views | 1,552 | 1,552 |
| Downloads | 688 | 688 |
| Data volume | 2.8 GB | 2.8 GB |
| Unique views | 779 | 779 |
| Unique downloads | 141 | 141 |