{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:14:19Z","timestamp":1771701259842,"version":"3.50.1"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032020482","type":"print"},{"value":"9783032020499","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T00:00:00Z","timestamp":1755475200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T00:00:00Z","timestamp":1755475200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-02049-9_24","type":"book-chapter","created":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T19:51:35Z","timestamp":1755719495000},"page":"322-328","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Innovative Framework for\u00a0Early Estimation of\u00a0Mental Disorder Scores to\u00a0Enable Timely Interventions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0132-2154","authenticated-orcid":false,"given":"Himanshi","family":"Singh","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1919-3490","authenticated-orcid":false,"given":"Sadhana","family":"Tiwari","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6690-2224","authenticated-orcid":false,"given":"Ritesh","family":"Chandra","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9083-5033","authenticated-orcid":false,"given":"Sonali","family":"Agarwal","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7457-9655","authenticated-orcid":false,"given":"Sanjay Kumar","family":"Sonbhadra","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8818-5673","authenticated-orcid":false,"given":"Vrijendra","family":"Singh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,18]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","unstructured":"Jo, A.-H., Kwak, K.-C.: Diagnosis of depression based on four- stream model of bi-LSTM and CNN from audio and text information. IEEE Access 10, 134 113\u2013134 135 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3231884","DOI":"10.1109\/ACCESS.2022.3231884"},{"key":"24_CR2","doi-asserted-by":"publisher","unstructured":"Jung, J., Kang, C., Yoon, J., Kim, S., Han, J.: HiQuE: hierarchical question embedding network for multimodal depression detection. In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, pp. 1049\u20131059 (2024). https:\/\/doi.org\/10.1145\/3627673.3679797","DOI":"10.1145\/3627673.3679797"},{"key":"24_CR3","doi-asserted-by":"publisher","first-page":"1430035","DOI":"10.3389\/fphy.2024.1430035","volume":"12","author":"H Ding","year":"2024","unstructured":"Ding, H., et al.: IntervoxNet: a novel dual-modal audio-text fusion network for automatic and efficient depression detection from interviews. Front. Phys. 12, 1430035 (2024). https:\/\/doi.org\/10.3389\/fphy.2024.1430035","journal-title":"Front. Phys."},{"key":"24_CR4","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2021.713823","volume":"15","author":"H Wang","year":"2021","unstructured":"Wang, H., Liu, Y., Zhen, X., Tu, X.: Depression speech recognition with a three-dimensional convolutional network. Front. Hum. Neurosci. 15, 713823 (2021). https:\/\/doi.org\/10.3389\/fnhum.2021.713823","journal-title":"Front. Hum. Neurosci."},{"issue":"12","key":"24_CR5","doi-asserted-by":"publisher","first-page":"3714","DOI":"10.3390\/s24123714","volume":"24","author":"Z Zhang","year":"2024","unstructured":"Zhang, Z., et al.: Multimodal sensing for depression risk detection: integrating audio, video, and text data. Sensors 24(12), 3714 (2024). https:\/\/doi.org\/10.3390\/s24123714","journal-title":"Sensors"},{"key":"24_CR6","doi-asserted-by":"publisher","unstructured":"Mai, W., Zhang, J., Fang, P., Zhang, Z.: Brain-conditional multimodal synthesis: a survey and taxonomy. IEEE Trans. Artif. Intelli. (2024). https:\/\/doi.org\/10.1109\/TAI.2024.3516698","DOI":"10.1109\/TAI.2024.3516698"},{"key":"24_CR7","doi-asserted-by":"publisher","unstructured":"Zhang, Y., He, Y., Rong, L., Ding, Y.: A hybrid model for depression detection with transformer and bi-directional long short-term memory. In: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2727\u20132734. IEEE (2022). https:\/\/doi.org\/10.1109\/BIBM55620.2022.9995184","DOI":"10.1109\/BIBM55620.2022.9995184"},{"key":"24_CR8","unstructured":"E-daic: EEG dataset for AI classification (2024). Accessed 10 Jan 2025. https:\/\/dcapswoz.ict.usc.edu\/wwwedaic\/"},{"key":"24_CR9","doi-asserted-by":"publisher","unstructured":"Kanoujia, S., Karuppanan, P.: Depression detection in speech using ML and DL algorithm. In: 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), vol. 2, pp. 1\u20135. IEEE (2024). https:\/\/doi.org\/10.1109\/IATMSI60426.2024.10503510","DOI":"10.1109\/IATMSI60426.2024.10503510"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02049-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T19:51:37Z","timestamp":1755719497000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02049-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,18]]},"ISBN":["9783032020482","9783032020499"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02049-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,18]]},"assertion":[{"value":"18 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"36","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/2025\/dexa2025.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}