{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T22:40:08Z","timestamp":1751236808012,"version":"3.41.0"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030782870"},{"type":"electronic","value":"9783030782887"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-78288-7_27","type":"book-chapter","created":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T23:16:20Z","timestamp":1625008580000},"page":"285-294","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes"],"prefix":"10.1007","author":[{"given":"Patricia","family":"Gamboa","sequence":"first","affiliation":[]},{"given":"Cl\u00e1udia","family":"Quaresma","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Varandas","sequence":"additional","affiliation":[]},{"given":"Hugo","family":"Gamboa","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,30]]},"reference":[{"key":"27_CR1","doi-asserted-by":"publisher","unstructured":"Lovejoy, C., Buch, V., Maruthappu, M.: Technology and mental health: the role of artificial intelligence. Eur. Psychiatry 55, 1\u20133 (2019). https:\/\/doi.org\/10.1016\/j.eurpsy.2018.08.004","DOI":"10.1016\/j.eurpsy.2018.08.004"},{"key":"27_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2196\/jmir.7.1.e1","volume":"7","author":"H Oh","year":"2005","unstructured":"Oh, H., Rizo, C., Enkin, M., Jadad, A.: What is eHealth: a systematic review of published definitions. J. Med. Internet Res. 7, 1 (2005). https:\/\/doi.org\/10.2196\/jmir.7.1.e1","journal-title":"J. Med. Internet Res."},{"issue":"5","key":"27_CR3","doi-asserted-by":"publisher","first-page":"e13216","DOI":"10.2196\/13216","volume":"21","author":"A Fiske","year":"2019","unstructured":"Fiske, A., Henningsen, P., Buyx, A.: Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy. J. Med. Internet Res. 21(5), e13216 (2019). https:\/\/doi.org\/10.2196\/13216","journal-title":"J. Med. Internet Res."},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Aboujaoude, E., Starcevic, V., (eds.): Mental Health in the Digital Age: Grave Dangers, Great Promise. Oxford University Press, Oxford (2015)","DOI":"10.1093\/med\/9780199380183.001.0001"},{"issue":"1","key":"27_CR5","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1111\/1467-8721.01214","volume":"12","author":"CB Taylor","year":"2003","unstructured":"Taylor, C.B., Luce, K.H.: Computer- and Internet-Based Psychotherapy Interventions. Curr. Dir. Psychol. Sci. 12(1), 18\u201322 (2003). https:\/\/doi.org\/10.1111\/1467-8721.01214","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"27_CR6","unstructured":"World Health Organization. https:\/\/www.who.int\/health-topics\/mental-health"},{"issue":"2","key":"27_CR7","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.rpsm.2020.04.004","volume":"13","author":"E Vieta","year":"2020","unstructured":"Vieta, E., P\u00e9rez, V., Arango, C.: Psychiatry in the aftermath of COVID-19. Revista de psiquiatria salud mental 13(2), 105\u2013110 (2020). https:\/\/doi.org\/10.1016\/j.rpsm.2020.04.004","journal-title":"Revista de psiquiatria salud mental"},{"key":"27_CR8","doi-asserted-by":"publisher","unstructured":"Richter, T., Fishbain, B., Markus, A., Richter\u2010Levin, G., Okon\u2010Singer, H.: Using machine learning\u2010based analysis for behavioral differentiation between anxiety and depression. Sci. Rep. Nat. Res. 10 (2020). https:\/\/doi.org\/10.1038\/s41598-020-72289-9","DOI":"10.1038\/s41598-020-72289-9"},{"key":"27_CR9","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.neubiorev.2017.01.002","volume":"74","author":"S Vieira","year":"2017","unstructured":"Vieira, S., Pinaya, H., Mechelli, A.: Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: methods and applications. Neurosci. Biobehav. Rev. 74, 58\u201375 (2017). https:\/\/doi.org\/10.1016\/j.neubiorev.2017.01.002","journal-title":"Neurosci. Biobehav. Rev."},{"key":"27_CR10","volume-title":"Machine Learning: An Algorithmic Perspective","author":"S Marsland","year":"2015","unstructured":"Marsland, S.: Machine Learning: An Algorithmic Perspective. CRC Press, New York (2015)"},{"key":"27_CR11","unstructured":"Clark, K., Althoff, T.: How to help someone feel better: NLP for mental health. The Stanford Language Processing Group (2016). https:\/\/nlp.stanford.edu\/blog\/how-to-help-someone-feel-better-nlp-for-mental-health\/"},{"key":"27_CR12","doi-asserted-by":"publisher","unstructured":"Chandrashekar, P.: Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps. mHealth 4 3 (2018). https:\/\/doi.org\/10.21037\/mhealth.2018.03.02","DOI":"10.21037\/mhealth.2018.03.02"},{"key":"27_CR13","doi-asserted-by":"publisher","unstructured":"Neary, M., Schueller, S.M.: State of the field of mental health apps. Cogn. Behav. Pract. 25(4), 531\u2013537 (2018). https:\/\/doi.org\/10.1016\/j.cbpra.2018.01.002","DOI":"10.1016\/j.cbpra.2018.01.002"},{"key":"27_CR14","doi-asserted-by":"publisher","first-page":"21","DOI":"10.2196\/14567","volume":"25","author":"A Baumel","year":"2019","unstructured":"Baumel, A., Muench, F., Edan, S., Kane, J.M.: Objective user engagement with mental health apps: systematic search and panel-based usage analysis. J. Med. Internet Res. 25, 21 (2019). https:\/\/doi.org\/10.2196\/14567","journal-title":"J. Med. Internet Res."},{"key":"27_CR15","doi-asserted-by":"publisher","DOI":"10.1037\/pro0000122","author":"JHL Lui","year":"2017","unstructured":"Lui, J.H.L., Marcus, D.K., Barry, C.T.: Evidence-based apps? A review of mental health mobile applications in a psychotherapy context. Prof. Psychol. Res. Pract. (2017). https:\/\/doi.org\/10.1037\/pro0000122","journal-title":"Prof. Psychol. Res. Pract."},{"key":"27_CR16","doi-asserted-by":"publisher","unstructured":"Bakker, D., Kazantzis, N., Rickwood, D., Rickard, N.: Mental health smartphone apps: review and evidence-based recommendations for future developments. JMIR Ment. Health 3(1), e7 (2016). https:\/\/doi.org\/10.2196\/mental.4984","DOI":"10.2196\/mental.4984"},{"key":"27_CR17","doi-asserted-by":"publisher","unstructured":"Lau, N., O'Daffer, A., Colt, S., et al.: Android and iPhone mobile apps for psychosocial wellness and stress management: systematic search in app stores and literature review. JMIR Mhealth Uhealth 22, 8(5), e17798 (2020). https:\/\/doi.org\/10.2196\/17798.","DOI":"10.2196\/17798"},{"issue":"6","key":"27_CR18","doi-asserted-by":"publisher","first-page":"e16525","DOI":"10.2196\/16525","volume":"7","author":"JM Marshall","year":"2020","unstructured":"Marshall, J.M., Dunstan, D.A., Bartik, W.: Apps with maps-anxiety and depression mobile apps with evidence-based frameworks: systematic search of major app stores. JMIR Ment. Health 7(6), e16525 (2020). https:\/\/doi.org\/10.2196\/16525","journal-title":"JMIR Ment. Health"},{"key":"27_CR19","unstructured":"National Institute of Mental Health. Technology and the Future of Mental Health Treatment (2017). https:\/\/www.nimh.nih.gov\/health\/topics\/technology-and-the-future-of-mental-health-treatment\/"},{"key":"27_CR20","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1002\/wps.20673","volume":"18","author":"J Linardon","year":"2019","unstructured":"Linardon, J., Cuijpers, P., Carlbring, P., Messer, M., Fuller-Tyszkiewicz, M.: The efficacy of app-supported smartphone interventions for mental health problems: a meta-analysis of randomized controlled trials. World Psychiatry 18, 325\u2013336 (2019). https:\/\/doi.org\/10.1002\/wps.20673","journal-title":"World Psychiatry"},{"key":"27_CR21","doi-asserted-by":"publisher","unstructured":"Fitzpatrick, K.K., Darcy, A., Vierhile. M.: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Ment. Health 4(2), e19 (2017). https:\/\/doi.org\/10.2196\/mental.7785","DOI":"10.2196\/mental.7785"},{"key":"27_CR22","doi-asserted-by":"publisher","unstructured":"Champion, L., Economides, M., Chandler, C.: The efficacy of a brief app-based mindfulness intervention on psychosocial outcomes in healthy adults: a pilot randomised controlled trial 13(12), e0209482 (2018).https:\/\/doi.org\/10.1371\/journal.pone.0209482","DOI":"10.1371\/journal.pone.0209482"},{"key":"27_CR23","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.brat.2018.08.003","volume":"109","author":"D Bakker","year":"2018","unstructured":"Bakker, D., Kazantzis, N., Rickwood, D., Rickard, N.: A randomized controlled trial of three smartphone apps for enhancing public mental health. Behav. Res. Ther. 109, 75\u201383 (2018). https:\/\/doi.org\/10.1016\/j.brat.2018.08.003","journal-title":"Behav. Res. Ther."},{"key":"27_CR24","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.genhosppsych.2015.09.005","volume":"38","author":"K Possemato","year":"2016","unstructured":"Possemato, K., et al.: Using PTSD Coach in primary care with and without clinician support: a pilot randomized controlled trial. Gen. Hosp. Psychiatry 38, 94\u201398 (2016). https:\/\/doi.org\/10.1016\/j.genhosppsych.2015.09.005","journal-title":"Gen. Hosp. Psychiatry"},{"issue":"3","key":"27_CR25","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1037\/ccp0000163","volume":"85","author":"E Kuhn","year":"2017","unstructured":"Kuhn, E., Kanuri, N., Hoffman, J.E., Garvert, D.W., Ruzek, J.I., Taylor, C.B.: A randomized controlled trial of a smartphone app for posttraumatic stress disorder symptoms. J. Consult. Clin. Psychol. 85(3), 267\u2013273 (2017). https:\/\/doi.org\/10.1037\/ccp0000163. PMID: 28221061","journal-title":"J. Consult. Clin. Psychol."},{"issue":"5","key":"27_CR26","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1037\/mil0000083","volume":"27","author":"GM Reger","year":"2015","unstructured":"Reger, G.M., Skopp, N.A., Edwards-Stewart, A., Lemus, E.L.: Comparison of prolonged exposure (PE) coach to treatment as usual: a case series with two active duty soldiers. Mil. Psychol. 27(5), 287\u2013296 (2015). https:\/\/doi.org\/10.1037\/mil0000083","journal-title":"Mil. Psychol."},{"issue":"3","key":"27_CR27","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1002\/wps.20472","volume":"16","author":"J Firth","year":"2017","unstructured":"Firth, J., Torous, J., Nicholas, J., et al.: The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World Psychiatry 16(3), 287\u2013298 (2017). https:\/\/doi.org\/10.1002\/wps.20472","journal-title":"World Psychiatry"},{"key":"27_CR28","doi-asserted-by":"publisher","first-page":"2970","DOI":"10.3389\/fpsyg.2019.02970","volume":"10","author":"G Orr\u00f9","year":"2020","unstructured":"Orr\u00f9, G., Monaro, M., Conversano, C., Gemignani, A., Sartori, G.: Machine learning in psychometrics and psychological research. Front. Psychol. 10, 2970 (2020). https:\/\/doi.org\/10.3389\/fpsyg.2019.02970","journal-title":"Front. Psychol."},{"key":"27_CR29","doi-asserted-by":"publisher","unstructured":"Morales, S., Barros, J., Ech\u00e1varri, O., Garc\u00eda, F., Osses, A., et al.: Acute mental discomfort associated with suicide behavior in a clinical sample of patients with affective disorders: ascertaining critical variables using artificial intelligence tools. Front. Psychiatry 8 (2017). https:\/\/doi.org\/10.3389\/fpsyt.2017.00007","DOI":"10.3389\/fpsyt.2017.00007"},{"issue":"1","key":"27_CR30","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1002\/wps.20491","volume":"17","author":"CM Corcoran","year":"2018","unstructured":"Corcoran, C.M., Carrillo, F., Fern\u00e1ndez-Slezak, D., Bedi, G., Klim, C., et al.: Prediction of psychosis across protocols and risk cohorts using automated language analysis. World Psychiatry 17(1), 67\u201375 (2018). https:\/\/doi.org\/10.1002\/wps.20491","journal-title":"World Psychiatry"},{"key":"27_CR31","doi-asserted-by":"publisher","unstructured":"Xie, J., Liu, R., Luttrell VI, J., Zhang, C.: Deep learning based analysis of histopathological images of breast cancer. Front. Genet. 10 (2019). https:\/\/doi.org\/10.3389\/fgene.2019.00080","DOI":"10.3389\/fgene.2019.00080"},{"key":"27_CR32","doi-asserted-by":"publisher","unstructured":"Coutanche, M.N., Hallion, L.S.: Machine learning for clinical psychology and clinical neuroscience. In Wright, A.G.C., Hallquist, M.N. (eds.) The Cambridge Handbook of Research Methods in Clinical Psychology. Cambridge (2019). https:\/\/doi.org\/10.31234\/osf.io\/7zswh","DOI":"10.31234\/osf.io\/7zswh"},{"key":"27_CR33","unstructured":"World Health Organization Classification of digital health interventions. Geneva: World Health Organization (2018)"},{"key":"27_CR34","doi-asserted-by":"publisher","DOI":"10.1177\/2053951715622512","author":"J Burrell","year":"2016","unstructured":"Burrell, J.: How the machine \u2018thinks\u2019: understanding opacity in machine learning algorithms. Big Data Soc. (2016). https:\/\/doi.org\/10.1177\/2053951715622512","journal-title":"Big Data Soc."},{"issue":"2","key":"27_CR35","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1080\/09638237.2020.1714011","volume":"29","author":"S Carr","year":"2020","unstructured":"Carr, S.: \u2018AI gone mental\u2019: engagement and ethics in data-driven technology for mental health. J. Ment. Health 29(2), 125\u2013130 (2020). https:\/\/doi.org\/10.1080\/09638237.2020.1714011","journal-title":"J. Ment. Health"},{"key":"27_CR36","unstructured":"Zuiderveen Borgesius, F.: Discrimination, artificial intelligence, and algorithmic decision-making. Council of Europe, Directorate General of Democracy (2018)"},{"issue":"4","key":"27_CR37","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1108\/AJIM-11-2019-0316","volume":"72","author":"A Gamble","year":"2020","unstructured":"Gamble, A.: Artificial intelligence and mobile apps for mental healthcare: a social informatics perspective. Aslib J. Inf. Manag. 72(4), 509\u2013523 (2020). https:\/\/doi.org\/10.1108\/AJIM-11-2019-0316","journal-title":"Aslib J. Inf. Manag."},{"key":"27_CR38","unstructured":"EU High-Level Expert Group on AI. Ethics Guidelines for Trustworthy AI. https:\/\/ec.europa.eu\/digital-single-market\/en\/news\/ethics-guidelines-trustworthy-ai"},{"issue":"7","key":"27_CR39","doi-asserted-by":"publisher","first-page":"e10410","DOI":"10.2196\/10410","volume":"20","author":"K Cresswell","year":"2018","unstructured":"Cresswell, K., Cunningham-Burley, S., Sheikh, A.: Health care robotics: qualitative exploration of key challenges and future directions. J. Med. Internet Res. 20(7), e10410 (2018). https:\/\/doi.org\/10.2196\/10410","journal-title":"J. Med. Internet Res."}],"container-title":["IFIP Advances in Information and Communication Technology","Technological Innovation for Applied AI Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-78288-7_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T22:03:37Z","timestamp":1751234617000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-78288-7_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030782870","9783030782887"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-78288-7_27","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DoCEIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Doctoral Conference on Computing, Electrical and Industrial Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Costa de Caparica","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"doceis2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/doceis.dee.fct.unl.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"92","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"34","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}