Milad (@milad_n_a) 's Twitter Profile
Milad

@milad_n_a

PhD Candidate

ID: 1386005425414365185

calendar_today24-04-2021 17:13:50

11 Tweet

33 Takipรงi

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Milad (@milad_n_a) 's Twitter Profile Photo

Identifying valuable insights by using a multi-entity event data for care pathways of multi-morbid patients! arxiv.org/abs/2110.00291. By supervision of Felix Mannhardt & Pieter Toussaint and representation of multiple entities in event logs as event graphs by Stefan Esser & Dirk Fahland | @[email protected].

Identifying valuable insights by using a multi-entity event data for care pathways of multi-morbid patients! arxiv.org/abs/2110.00291. By supervision of <a href="/fmannhardt/">Felix Mannhardt</a>  &amp; Pieter Toussaint and representation of multiple entities in event logs as event graphs by <a href="/DblQlik/">Stefan Esser</a> &amp; <a href="/dfahland/">Dirk Fahland | @dfahland@fediscience.org</a>.
International Conference on Process Mining (ICPM) (@icpm_conf) 's Twitter Profile Photo

#icpm21 is kicked-off with an early Sunday morning start of the Doctoral Consortium. More than 20 participants joined, among them nine PhD researchers that get to pitch their research plan to the community. Thanks to Mieke Jans and Fabrizio Maria Maggi to organizing the DC!

#icpm21 is kicked-off with an early Sunday morning start of the Doctoral Consortium. More than 20 participants joined, among them nine PhD researchers that get to pitch their research plan to the community. Thanks to <a href="/MiekeJans/">Mieke Jans</a> and <a href="/FabrizioMaggi/">Fabrizio Maria Maggi</a> to organizing the DC!
Process Analytics Group (TU/e) (@pagrouptue) 's Twitter Profile Photo

Happy New Year to all of you! We start 2022 with two contributions from Process Analytics Group (TU/e) at the ProcessMining in #Healthcare HICSS Minitrack. A paper by Renata Carvalho and a paper with Felix Mannhardt as contributor. Unfortunately, both without an in-person presentation in Hawaii.

Milad (@milad_n_a) 's Twitter Profile Photo

๐—”๐—ฟ๐—ฒ ๐˜†๐—ผ๐˜‚ ๐—ฎ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ฒ๐—ฟ ๐—ถ๐—ป ๐—ฝ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€ ๐—บ๐—ถ๐—ป๐—ถ๐—ป๐—ด, ๐—บ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด, ๐—ผ๐—ฟ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—บ๐—ถ๐—ป๐—ถ๐—ป๐—ด looking for a healthcare dataset? ๐— ๐—œ๐— ๐—œ๐—–-๐—œ๐—ฉ-๐—˜๐˜…๐˜-๐—–๐—˜๐—ž๐—š is now publicly available on PhysioNet! doi.org/10.13026/wqvp-โ€ฆ