Relevant bibliographies by topics / Anxiety detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Anxiety detection'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Anxiety detection"

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Tyrer, Peter, and Helen Tyrer. "Health anxiety: detection and treatment." BJPsych Advances 24, no. 1 (2018): 66–72. http://dx.doi.org/10.1192/bja.2017.5.

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SUMMARYHealth anxiety is an important new diagnosis that is increasing in frequency because of changing attitudes towards health, particularly excessive use of health information on the internet (cyberchondria). People with abnormal health anxiety become over-diligent monitors of their health, misinterpret most somatic sensations as evidence of disease, consult medical professionals unnecessarily and frequently, and are often over-investigated. Relatively few patients with health anxiety present to psychiatrists; most are seen in primary and secondary medical care. This paper reviews the diagn
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Hickey, Blake Anthony, Taryn Chalmers, Phillip Newton, et al. "Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review." Sensors 21, no. 10 (2021): 3461. http://dx.doi.org/10.3390/s21103461.

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Recently, there has been an increase in the production of devices to monitor mental health and stress as means for expediting detection, and subsequent management of these conditions. The objective of this review is to identify and critically appraise the most recent smart devices and wearable technologies used to identify depression, anxiety, and stress, and the physiological process(es) linked to their detection. The MEDLINE, CINAHL, Cochrane Central, and PsycINFO databases were used to identify studies which utilised smart devices and wearable technologies to detect or monitor anxiety, depr
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Berggren, Nick, Thomas Blonievsky, and Nazanin Derakshan. "Enhanced visual detection in trait anxiety." Emotion 15, no. 4 (2015): 477–83. http://dx.doi.org/10.1037/a0039449.

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Badner, Neal H., Warren R. Nielson, Shirley Munk, Caroline Kwiatkowska, and Adrian W. Gelb. "Preoperative anxiety: detection and contributing factors." Canadian Journal of Anaesthesia 37, no. 4 (1990): 444–47. http://dx.doi.org/10.1007/bf03005624.

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Gregory, Sally M., and Anthony Lambert. "Anxiety, conscious awareness and change detection." Consciousness and Cognition 21, no. 1 (2012): 69–79. http://dx.doi.org/10.1016/j.concog.2011.09.009.

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Palanisamy, Kamini Kamakshi, and Arthi Rengaraj. "Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM." Brain Sciences 14, no. 8 (2024): 848. http://dx.doi.org/10.3390/brainsci14080848.

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In humans, epilepsy is diagnosed through electroencephalography (EEG) signals. Epileptic seizures (ESs) arise due to anxiety. The detection of anxiety-based seizures is challenging for radiologists, and there is a limited availability of anxiety-based EEG signals. Data augmentation methods are required to increase the number of novel samples. An epileptic seizure arises due to anxiety, which manifests as variations in EEG signal patterns consisting of changes in the size and shape of the signal. In this study, anxiety EEG signals were synthesized by applying data augmentation methods such as r
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Priasmoro, Dian Pitaloka, Ikhwan Yuda Kusuma, and Yuni Asri. "Social anxiety disorder: prevalence and dominant factor among adolescents in urban and rural school." International Journal of Public Health Science (IJPHS) 13, no. 2 (2025): 919–26. https://doi.org/10.11591/ijphs.v13i2.23610.

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In the age range of 16-18 years, commonly known as adolescence, individuals undergo a period of self-discovery in their socio-emotional development. Failures during this process can lead to individuals experiencing anxiety in social interactions, which can have a negative impact on their mental health. The Indonesia National Adolescent Mental Health Survey (I-NAMHS), findings also indicate that the most prevalent mental disorder among adolescents is anxiety disorder (a combination of social phobia and generalized anxiety disorder), is equivalent to 15.5 million. The widespread use of the inter
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Sharif, Mohammad O. "Guest Editorial - Dental anxiety: detection and management." Journal of Applied Oral Science 18, no. 2 (2010): i. http://dx.doi.org/10.1590/s1678-77572010000200001.

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Byrne, Angela, and Michael W. Eysenck. "Trait anxiety, anxious mood, and threat detection." Cognition & Emotion 9, no. 6 (1995): 549–62. http://dx.doi.org/10.1080/02699939508408982.

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Stein, Dan J., and Randolph M. Nesse. "Threat detection, precautionary responses, and anxiety disorders." Neuroscience & Biobehavioral Reviews 35, no. 4 (2011): 1075–79. http://dx.doi.org/10.1016/j.neubiorev.2010.11.012.

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Dissertations / Theses on the topic "Anxiety detection"

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Kessler, David Samuel. "Symptom attribution and the detection of depression and anxiety in general practice." Thesis, King's College London (University of London), 2004. https://kclpure.kcl.ac.uk/portal/en/theses/symptom-attribution-and-the-detection-of-depression-and-anxiety-in-general-practice(39a1d82f-72c1-4a76-816c-8fbd6a9afb01).html.

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Panganiban, April Rose. "Effects of Anxiety on Change Detection in a Command and Control Task." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1300210920.

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Nasrallah, M. "Enhanced detection sensitivity to negative emotional valence : the role of awareness, attention, anxiety, and reward." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1302396/.

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The efficient detection of information of negative valence in the environment is crucial to survival (e.g. to elicit an avoidance response). However, previous research remains inconclusive regarding the question of whether detection is more sensitive to information of negative compared to positive valence. In the present thesis I used a signal detection approach applied to an emotional-evaluation word task (requiring the participants to classify a briefly presented masked word into emotional or non-emotional categories) to address this question. The results established conclusively enhanced de
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Reinecke, Andrea. "Spatial and temporal processing biases in visual working memory in specific anxiety." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2007. http://nbn-resolving.de/urn:nbn:de:swb:14-1176379796267-73402.

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BACKGROUND.One group of theories aiming at providing a framework explaining the etiology, maintenance and phenomenology of anxiety disorders is classified as cognitive models of anxiety. These approaches assume that distortions in specific levels of information processing are relevant for the onset and maintenance of the disorder. A detailed knowledge about the nature of these distortions would have important implications for the therapy of anxiety, as the implementation of confrontative or cognitive elements precisely fitting the distortions might enhance efficacy. Still, these models and rel
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Schry, Amie R. "Behavioral Responses and Risk Detection in Sexual Encounters: A Study on the Effects of Social Anxiety and a Brief Intervention." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51628.

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Sexual victimization among college women is a common problem. This two-part study sought to examine social interaction anxiety as a risk factor of sexual victimization and to examine the feasibility, acceptability, and preliminary efficacy of a computer-based risk reduction program. A total of 1095 undergraduate females completed an online survey to assess social anxiety as a risk factor (study part I), a subsample of whom (n = 136, including 51 above the clinical cutoff on a social anxiety measure and 85 below the cutoff) completed the subsequent in-lab study (study part II). During study
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Hansson, Maja. "Depression in primary care detection, treatment, and patients' own perspectives /." Doctoral thesis, Umeå : Division of Psychiatry, Umeå Universitet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-30516.

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Oliveira, Beatriz Morais Melo de. "Study of the efficacy of new tools for detecting deceit." Doctoral thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22157.

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Doutoramento em Psicologia<br>Detecting deceit is still a difficult task, despite researchers’ efforts to improve lie detection techniques. Several theories and techniques have been developed and tested. We begin this thesis with a general literature review of lie detection research, where the reasons to why people lie are outlined, as well as possible explanations to the difficulty of the lie detection processes. Then, we discuss multidisciplinary lie detection techniques based on verbal, non-verbal and psychophysiological cues. We end Chapter 1 with a more extensive review on cognitive-based
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Marcus, Madalyn A. "Predictors of disclosure and detection of mood and anxiety disorders in primary care /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR32009.

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Thesis (M.A.)--York University, 2007. Graduate Programme in Psychology.<br>Typescript. Includes bibliographical references (leaves 51-63). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR32009
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Mbewe, Edward Kondwelani. "Improving detection of depression and/or anxiety as comorbidities of epilepsy in primary health care settings in Zambia." Thesis, 2013. http://hdl.handle.net/10413/11108.

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The focus of this study was on common psychiatric comorbidities of depression and anxiety in people with epilepsy (PWE). While international published data show that up to 60% of PWE suffer from depression and/or anxiety, most primary care (PHC) settings in developed countries display some oversight in this area. The study was conducted in Zambia, in three phases; which each culminated in submissions for publication in an internationally peer reviewed journal. Phase one involved chart review to establish the rate of detection of depression and/or anxiety in PWE at the outpatient clinic of Chai
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Han, Elizabeth Shuang. "Detecting Anxiety through Song: Mapping Physiological Indicators to Music." Thesis, 2011. http://hdl.handle.net/1807/30621.

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This research aimed to help caregivers easily recognize physiological indicators of pediatric anxiety. To this purpose, we first elucidated the physiological indicators of anxiety in children by presenting an anxiety-inducing task while recording biosignals. We discovered patterns suggestive of cardiac reciprocal inhibition, increased respiration rate, and increased electrodermal activity. These patterns informed the optimization of an existing auditory prototype for presenting biosignals to caregivers (biosongs), which maps physiological features to musical elements. The effectiveness of the
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Books on the topic "Anxiety detection"

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T, Croyle Robert, ed. Psychosocial effects of screening for disease prevention and detection. Oxford University Press, 1995.

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Allan, Poe Edgar. Tales of mystery & imagination. Portland House Illustrated Classics, 1987.

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Allan, Poe Edgar. Tales of mystery and imagination. Avenel Books, 1985.

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Allan, Poe Edgar. Tales of mystery and imagination. O'Mara, 1987.

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Allan, Poe Edgar. Sipure mistorin u-fanṭasyah. Ladori, 1997.

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Allan, Poe Edgar. Tales of mystery and imagination. Galley Press, 1987.

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Anxiety. Exon Publications, 2024. http://dx.doi.org/10.36255/anxiety.

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Anxiety is a common but serious condition that affects millions of people worldwide, impacting how they feel, think, and handle daily activities. This article explores all important aspects of anxiety, serving as a valuable resource for patients, their loved ones, and the general public. The book begins with an introduction to anxiety, explaining its nature and significance. It then covers the various types of anxiety disorders, patterns of anxiety, and the difference between normal mood changes and clinical anxiety. The symptoms and causes of anxiety are discussed in detail, along with the va
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Huh, Jinny. Arresting Eye: Race and the Anxiety of Detection. University of Virginia Press, 2015.

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The arresting eye: Race and the anxiety of detection. 2015.

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Psychosocial Effects of Screening for Disease Prevention and Detection. Oxford University Press, Incorporated, 1995.

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Book chapters on the topic "Anxiety detection"

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Hussain, Md Imran, Shivam, Soumay Gupta, Seema, Syed Rameem Zahra, and Yassine Aribi. "Detection of Generalized Anxiety Disorder." In Artificial Intelligence in Healthcare. CRC Press, 2024. http://dx.doi.org/10.1201/9781003522096-7.

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Levine, Lionel M., Migyeong Gwak, Kimmo Kärkkäinen, et al. "Anxiety Detection Leveraging Mobile Passive Sensing." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64991-3_15.

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Hidayah, Nur, M. Ramli, Kartika Candra Kirana, Husni Hanafi, Mila Yunita, and Rofiqoh Rofiqoh. "Conceptual Design of Digital Anxiety Detection-Tools for Students School Anxiety." In Proceedings of the International Conference on Educational Management and Technology (ICEMT 2022). Atlantis Press SARL, 2023. http://dx.doi.org/10.2991/978-2-494069-95-4_39.

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Stein, Dan J., Soraya Seedat, Paul Carey, and Brian Harvey. "Precursors, Early Detection and Prevention of Anxiety Disorders." In Early Detection and Management of Mental Disorders. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470010851.ch8.

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Gomes, Nuno, Matilde Pato, Pedro Santos, Andrè Lourenço, and Lourenço Rodrigues. "Anxolotl, an Anxiety Companion App – Stress Detection." In Human Activity and Behavior Analysis. CRC Press, 2024. http://dx.doi.org/10.1201/9781003371540-10.

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Ismail, Daneih, and Peter Hastings. "Toward Ubiquitous Foreign Language Learning Anxiety Detection." In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11647-6_56.

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Abd-Elsalam, Kamel A., Rawan K. Hassan, Farah K. Ahmed, and Toka E. Abdelkhalek. "Plant Health Check: Emerging Methods for Disease Detection." In Plant Quarantine Challenges under Climate Change Anxiety. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56011-8_4.

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Jiang, Yueqi, Ziyang Zhang, and Xiao Sun. "MMDA: A Multimodal Dataset for Depression and Anxiety Detection." In Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37660-3_49.

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Khullar, Vikas, Raj Gaurang Tiwari, Ambuj Kumar Agarwal, and Soumi Dutta. "Physiological Signals Based Anxiety Detection Using Ensemble Machine Learning." In Cyber Intelligence and Information Retrieval. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4284-5_53.

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Brueckner, Raymond, Namhee Kwon, Vinod Subramanian, Nate Blaylock, and Henry O’Connell. "Audio-Based Detection of Anxiety and Depression via Vocal Biomarkers." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53960-2_9.

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Conference papers on the topic "Anxiety detection"

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Senanayake, Ashala, and Zilu Liang. "Anxiety Detection in Reddit Posts Through Emotion Dynamics Analysis." In 18th International Conference on Health Informatics. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013375900003911.

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Wu, Jinglin, Danyang Chen, Zhaoxia Ren, Yujun Li, Hongjuan Li, and Zhi Liu. "Detection of Anxiety Disorders in Adolescents Based on Reading Patterns." In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2024. https://doi.org/10.1109/cisp-bmei64163.2024.10906243.

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Senanayake, Ashala, and Zilu Liang. "Time Series Analysis for Social Media Anxiety Detection: A Mini Review." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760425.

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Sood, Tanya, Punya Garg, Husanbir Pannu, and Sonam Dullat. "Machine Learning Algorithms and Nlp for Anxiety and Depression Detection Using Twitter Data." In 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI). IEEE, 2025. https://doi.org/10.1109/ic3ecsbhi63591.2025.10990488.

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Fatima, Eram, Namrata Dhanda, and Taskeen Zaidi. "AI-Driven Detection of Stress, Anxiety, and Depression: Techniques, Challenges, and Future Perspectives." In 2025 3rd International Conference on Disruptive Technologies (ICDT). IEEE, 2025. https://doi.org/10.1109/icdt63985.2025.10986672.

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Zhang, Tingting, Jiachen Tan, Zihua Xiong, Bin Wu, and Chunping Zheng. "Causality-Guided Context-Aware Multimodal Public Speaking Anxiety Detection for Out-of-Distribution Generalization." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888426.

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Zhong, Xiaoming, Ang Li, Xiangyang Zhang, and Tingshao Zhu. "Facial Feature Analysis for Anxiety Detection in People with Drug Addiction: Establishment and Validation of Machine Learning Models." In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743536.

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Prasetya, Nyoman Wira, Keshia Jean Darma, Wina Permana Sari, Ni Made Ayu Wulan Sari, Sidharta, and Lutfi Atmaji. "User Interface (UI) of Speech to Text Early Analysis Detection of Health Anxiety in People with Chronic Disease Based on Mobile Application." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10957610.

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Reddy, Varun, Zhiyuan Wang, Emma R. Toner, et al. "AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech." In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2024. https://doi.org/10.1109/acii63134.2024.00011.

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Singh, Anmol Rattan, Gurjinder Singh, and Nitin Saluja. "Leveraging Naive Bayes to deciphering online posts for detecting Depression and Anxiety." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877635.

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