Browsing by Author "Leis Machín, Angela 1974-"

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  • Clinical characterization of patients with COVID-19 in primary care in Catalonia: retrospective observational study
    Mayer, Miguel Ángel, 1960-; Vidal Alaball, Josep; Puigdellívol Sánchez, Anna; Marín Gómez, Francesc X.; Leis Machín, Angela 1974-; Mendioroz, Jacobo (JMIR Publications, 2021)
    Background: The country of Spain has one of the highest incidences of COVID-19, with more than 1,000,000 cases as of the end of October 2020. Patients with a history of chronic conditions, obesity, and cancer are at greater ...
  • Clinical-based and expert selection of terms related to depression for twitter streaming and language analysis
    Leis Machín, Angela 1974-; Mayer, Miguel Ángel, 1960-; Ronzano, Francesco; Torrens, Marta; Castillo, Claudio; Furlong, Laura I., 1971-; Sanz, Ferran (IOS Press, 2020)
    People use language to express their thoughts and feelings, unveiling important aspects of their psychological traits and social interactions. Although there are several studies describing methodologies to create a collection ...
  • Comparing the clinical characteristics and mortality of residential and non-residential older people with COVID-19: retrospective observational study
    Marin-Gomez, Francesc X.; Mendioroz, Jacobo; Mayer, Miguel Ángel, 1960-; Méndez-Boo, Leonardo; Mora, Núria; Hermosilla, Eduardo; Coma, Ermengol; Vilaseca, Josep Maria; Leis Machín, Angela 1974-; Medina, Manolo; Miró Catalina, Queralt; Vidal Alaball, Josep (MDPI, 2022)
    Nursing homes have accounted for a significant part of SARS-CoV-2 mortality, causing great social alarm. Using data collected from electronic medical records of 1,319,839 institutionalised and non-institutionalised persons ...
  • Detecting signs of depression in tweets in spanish: behavioral and linguistic analysis
    Leis Machín, Angela 1974-; Ronzano, Francesco; Mayer, Miguel Ángel, 1960-; Furlong, Laura I., 1971-; Sanz, Ferran (JMIR Publications, 2019)
    Background: Mental disorders have become a major concern in public health, and they are one of the main causes of the overall disease burden worldwide. Social media platforms allow us to observe the activities, thoughts, ...
  • Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project
    Mortier, Philippe; Amigo, Franco; Conde, Susana; Ferrer Forés, Maria Montserrat; Latorre Moreno, Laura; Leis Machín, Angela 1974-; Mayer, Miguel Ángel, 1960-; Pérez Solá, Victor; Portillo-Van Diest, Ana; Ramírez Anguita, Juan Manuel; Sanz, Ferran; Vilagut Saiz, Gemma, 1975-; Alonso Caballero, Jordi; Pastor Maeso, Manuel; Qin, Ping (BioMed Central, 2024)
    Background: Self-harm presents a significant public health challenge. Emergency departments (EDs) are crucial healthcare settings in managing self-harm, but clinician uncertainty in risk assessment may contribute to ...
  • Evaluating behavioral and linguistic changes during drug treatment for depression using tweets in spanish: pairwise comparison study
    Leis Machín, Angela 1974-; Ronzano, Francesco; Mayer, Miguel Ángel, 1960-; Furlong, Laura I., 1971-; Sanz, Ferran (JMIR Publications, 2020)
    Background: Depressive disorders are the most common mental illnesses, and they constitute the leading cause of disability worldwide. Selective serotonin reuptake inhibitors (SSRIs) are the most commonly prescribed drugs ...
  • Exploring the association of cancer and depression in electronic health records: combining encoded diagnosis and mining free-text clinical notes
    Leis Machín, Angela 1974-; Casadevall Aguilar, David; Albanell Mestres, Joan; Posso, Margarita; Macià Guilà, Francesc Assís; Castells, Xavier; Ramírez Anguita, Juan Manuel; Martínez Roldán, Jordi; Furlong, Laura I., 1971-; Sanz, Ferran; Ronzano, Francesco; Mayer, Miguel Ángel, 1960- (JMIR Publications, 2022)
    Background: A cancer diagnosis is a source of psychological and emotional stress, which are often maintained for sustained periods of time that may lead to depressive disorders. Depression is one of the most common ...
  • Grupos sobre alimentación saludable en Facebook: características y contenidos
    Leis Machín, Angela 1974-; Mayer, Miguel Ángel, 1960-; Torres Niño, Javier; Rodríguez-González, Alejandro; Suelves, Josep Maria; Armayones Ruiz, Manuel (Elsevier, 2013)
    Objetivo: Conocer las características de los grupos de Facebook relacionados con la alimentación saludable. Método: Estudio observacional transversal en Internet. Mediante el API de Facebook se seleccionaron los grupos ...
  • Premature death, suicide, and nonlethal intentional self-harm after psychiatric discharge
    Mortier, Philippe; Conde, Susana; Alayo, Itxaso; Amigo, Franco; Ballester, Laura; Cirici, Roser; Guinart, Dani; Ferrer Forés, Maria Montserrat; Leis Machín, Angela 1974-; Mayer, Miguel Ángel, 1960-; Portillo-Van Diest, Ana; Puértolas Gracia, Beatriz; Ramírez Anguita, Juan Manuel; Sanz, Ferran; Pérez Solá, Victor; Vilagut Saiz, Gemma, 1975-; Alonso Caballero, Jordi (American Medical Association, 2024)
    Importance: There is a need for representative research on serious adverse outcomes following discharge from psychiatric hospitalization. Objective: To compare rates of premature death, suicide, and nonlethal intentional ...
  • Studying depression through big data analytics on Twitter
    Leis Machín, Angela 1974- (2021-04-09)
    Mental disorders have become a major concern in public health, since they are one of the main causes of the overall disease burden worldwide. Depressive disorders are the most common mental illnesses, and they constitute ...
  • Text mining and expert curation to develop a database on psychiatric diseases and their genes
    Gutiérrez Sacristán, Alba; Bravo Serrano, Àlex, 1984-; Portero Tresserra, Marta; Valverde Granados, Olga; Leis Machín, Angela 1974-; Mayer, Miguel Ángel, 1960-; Warnault, Vincent; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2017)
    Psychiatric disorders constitute one of the main causes of disability worldwide. During the past years, considerable research has been conducted on the genetic architecture of such diseases, although little understanding ...
  • Using Electronic Health Records to Assess Depression and Cancer Comorbidities
    Mayer, Miguel Ángel, 1960-; Gutiérrez Sacristán, Alba; Leis Machín, Angela 1974-; De La Peña, Santiago; Sanz, Ferran; Furlong, Laura I., 1971- (IOS Press, 2017)
    Comorbid diseases are an important concern in oncology since they can affect the choice and effectiveness of treatment. What is particularly relevant is the fact that the diagnosis of depression in cancer patients has an ...

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