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    <article-meta>
      <title-group>
        <article-title>Preface</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Vincenzo Dentamaro</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Lauren Erdman</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mahboobeh Parsapoor</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>McGill University</institution>
          ,
          <addr-line>Montréal, Quebec</addr-line>
          ,
          <country country="CA">Canada</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University of Bari Aldo Moro</institution>
          ,
          <addr-line>Via Orabona 4, 70121, Bari</addr-line>
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Toronto</institution>
          ,
          <country country="CA">Canada</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <fpage>2</fpage>
      <lpage>3</lpage>
      <abstract>
        <p>The workshop was held in hybrid mode both in person and online. We had 36 in person participants and 28 online participants. For the call for papers, we received 10 papers and we accepted 5 of them. The accepted papers are all regular papers explaining a technical solution or problems related to Mental disorders, neurodegenerative diseases and in general AI applied to healthcare. The link of the workshop on the main conference website is https://sds2023.ch/data-science-techniques-for-data-sets as well as https://www.datasciencetechniques.com/home The workshop on Data Science Techniques for Datasets on Mental and Neurodegenerative Disorders (DS Techniques for Datasets on MDs and NDs ) provided an excellent discussion of data science techniques for biomedical datasets related to mental and neurodegenerative disorders. The goal of this workshop was to allow mental health researchers to expand their knowledge of advanced data science techniques while enabling data scientists to improve their methods with feedback from clinical audiences.</p>
      </abstract>
      <kwd-group>
        <kwd>The numbers of the workshop</kwd>
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      <p>presented their research works in the field of AI and mental and neurodegenerative disorders.
The talks followed by an expert panel discussion with in person and online participants. Panelists
discussed deepening the problems of artificial intelligence applied to healthcare and the need for
explainable artificial intelligence techniques as well as current challenges and actual research
directions.</p>
      <p>The workshop was held in hybrid mode both in person and online. We had 36 in person participants
and 28 online participants.</p>
      <p>For the call for papers, we received 10 papers and we accepted 5 of them. The accepted papers are
all regular papers explaining a technical solution or problems related to Mental disorders,
neurodegenerative diseases and in general AI applied to healthcare.</p>
      <p>This is the first version of this workshop and we plan to make the next year.</p>
      <p>The link of the workshop on the main conference website is
https://sds2023.ch/data-sciencetechniques-for-data-sets as well as https://www.datasciencetechniques.com/home</p>
      <p>Acknowledgments
We thank the organization of the IEEE Swiss Conference on Data Science 2023 for supporting us to
organize the workshop and for hosting it in their amazing location in Zürich, Switzerland.
Vincenzo, Lauren, Mah</p>
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