{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T17:12:30Z","timestamp":1774631550458,"version":"3.50.1"},"reference-count":64,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Depression is a common mental illness characterized by sadness, lack of interest, or pleasure. According to the DSM-5, there are nine symptoms, from which an individual must present 4 or 5 in the last two weeks to fulfill the diagnosis criteria of depression. Nevertheless, the common methods that health care professionals use to assess and monitor depression symptoms are face-to-face questionnaires leading to time-consuming or expensive methods. On the other hand, smart homes can monitor householders\u2019 health through smart devices such as smartphones, wearables, cameras, or voice assistants connected to the home. Although the depression disorders at smart homes are commonly oriented to the senior sector, depression affects all of us. Therefore, even though an expert needs to diagnose the depression disorder, questionnaires as the PHQ-9 help spot any depressive symptomatology as a pre-diagnosis. Thus, this paper proposes a three-step framework; the first step assesses the nine questions to the end-user through ALEXA or a gamified HMI. Then, a fuzzy logic decision system considers three actions based on the nine responses. Finally, the last step considers these three actions: continue monitoring through Alexa and the HMI, suggest specialist referral, and mandatory specialist referral.<\/jats:p>","DOI":"10.3390\/s21237864","type":"journal-article","created":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T01:45:02Z","timestamp":1638323102000},"page":"7864","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Smart Homes as Enablers for Depression Pre-Diagnosis Using PHQ-9 on HMI through Fuzzy Logic Decision System"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5337-2527","authenticated-orcid":false,"given":"Juana Isabel","family":"M\u00e9ndez","sequence":"first","affiliation":[{"name":"School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2158-1556","authenticated-orcid":false,"given":"Ana Victoria","family":"Meza-S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Escuela Superior de Medicina, Instituto Politecnico Nacional, Mexico City 11340, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7035-5286","authenticated-orcid":false,"given":"Pedro","family":"Ponce","sequence":"additional","affiliation":[{"name":"School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Troy","family":"McDaniel","sequence":"additional","affiliation":[{"name":"The Polytechnic School, Arizona State University, Mesa, AZ 85212, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5569-7448","authenticated-orcid":false,"given":"Therese","family":"Peffer","sequence":"additional","affiliation":[{"name":"Institute for Energy and Environment, University of California, Berkeley, CA 94720, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan","family":"Meier","sequence":"additional","affiliation":[{"name":"Energy and Efficiency Institute, University of California, Davis, CA 95616, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5461-2879","authenticated-orcid":false,"given":"Arturo","family":"Molina","sequence":"additional","affiliation":[{"name":"School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,26]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2021, October 14). Depression. Available online: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/depression."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.jad.2020.09.065","article-title":"Depression Reported by US Adults in 2017\u20132018 and March and April 2020","volume":"278","author":"Daly","year":"2021","journal-title":"J. Affect. Disord."},{"key":"ref_3","unstructured":"(2021, October 13). NHANES 2017-March 2020 Pre-Pandemic Questionnaire Data, Available online: https:\/\/wwwn.cdc.gov\/nchs\/nhanes\/search\/datapage.aspx?Component=Questionnaire&Cycle=2017-2020."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1177\/0034355213515305","article-title":"Test Review: Patient Health Questionnaire\u20139 (PHQ-9)","volume":"57","author":"Spitzer","year":"2014","journal-title":"Rehabil. Couns. Bull."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Narziev, N., Goh, H., Toshnazarov, K., Lee, S.A., Chung, K.-M., and Noh, Y. (2020). STDD: Short-Term Depression Detection with Passive Sensing. Sensors, 20.","DOI":"10.3390\/s20051396"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"e8","DOI":"10.2196\/mental.3889","article-title":"Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients with Major Depressive Disorder","volume":"2","author":"Torous","year":"2015","journal-title":"JMIR Ment. Health"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hickey, B.A., Chalmers, T., Newton, P., Lin, C.-T., Sibbritt, D., McLachlan, C.S., Clifton-Bligh, R., Morley, J., and Lal, S. (2021). Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review. Sensors, 21.","DOI":"10.3390\/s21103461"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.cmpb.2018.04.026","article-title":"(Jack) Mobile and Wearable Technologies in Healthcare for the Ageing Population","volume":"161","author":"Malwade","year":"2018","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Avila, M., M\u00e9ndez, J.I., Ponce, P., Peffer, T., Meier, A., and Molina, A. (2021). Energy Management System Based on a Gamified Application for Households. Energies, 14.","DOI":"10.3390\/en14123445"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.techfore.2018.08.015","article-title":"A Systematic Review of the Smart Home Literature: A User Perspective","volume":"138","author":"Marikyan","year":"2019","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Harper, R. (2003). Inside the Smart Home, Springer.","DOI":"10.1007\/b97527"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Harper, R. (2003). Smart Homes: Past, Present and Future. Inside the Smart Home, Springer.","DOI":"10.1007\/b97527"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e64","DOI":"10.2196\/mental.9782","article-title":"Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial","volume":"5","author":"Fulmer","year":"2018","journal-title":"JMIR Ment. Health"},{"key":"ref_14","unstructured":"Robinson, A. (2021, October 14). Can a Chatbot Help My Mental Health?. Available online: https:\/\/onemindpsyberguide.org\/blog\/can-a-chatbot-help-my-mental-health\/."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Quiroz, J.C., Bongolan, T., and Ijaz, K. (2020, January 10). Alexa Depression and Anxiety Self-Tests: A Preliminary Analysis of User Experience and Trust. Proceedings of the Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, ACM: Virtual Event Mexico, Available online: https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3410530.3414374.","DOI":"10.1145\/3410530.3414374"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"592467","DOI":"10.3389\/fpsyt.2020.592467","article-title":"Acceleration of Anxiety, Depression, and Suicide: Secondary Effects of Economic Disruption Related to COVID-19","volume":"11","author":"Brenner","year":"2020","journal-title":"Front. Psychiatry"},{"key":"ref_17","unstructured":"Lii Inn, T. (2020, July 07). Smart City Technologies Take on COVID-19\u2013Penang Institute. Available online: https:\/\/penanginstitute.org\/publications\/issues\/smart-city-technologies-take-on-covid-19\/."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"100196","DOI":"10.1016\/j.ijchp.2020.07.007","article-title":"Prevalence of Depression during the COVID-19 Outbreak: A Meta-Analysis of Community-Based Studies","volume":"21","author":"Olaya","year":"2021","journal-title":"Int. J. Clin. Health Psychol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"205395172093807","DOI":"10.1177\/2053951720938073","article-title":"Covid-19 and the Accelerating Smart Home","volume":"7","author":"Maalsen","year":"2020","journal-title":"Big Data Soc."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/978-3-030-38748-8_9","article-title":"Multi-Sensor System, Gamification, and Artificial Intelligence for Benefit Elderly People","volume":"Volume 273","author":"Ponce","year":"2020","journal-title":"Challenges and Trends in Multimodal Fall Detection for Healthcare"},{"key":"ref_21","unstructured":"McDaniel, T., and Liu, X. (2021). Human-Machine Interfaces for Socially Connected Devices: From Smart Households to Smart Cities. Multimedia for Accessible Human Computer Interfaces, Springer International Publishing."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Maharjan, R., B\u00e6kgaard, P., and Bardram, J.E. (2019, January 9\u201313). \u201cHear Me out\u201d: Smart Speaker Based Conversational Agent to Monitor Symptoms in Mental Health. Proceedings of the Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, London, UK.","DOI":"10.1145\/3341162.3346270"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1038\/s41746-020-0241-7","article-title":"Applying Speech Technologies to Assess Verbal Memory in Patients with Serious Mental Illness","volume":"3","author":"Holmlund","year":"2020","journal-title":"NPJ Digit. Med."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"M\u00fcller, G., Bombana, M., Heinzel-Gutenbrenner, M., Kleindienst, N., Bohus, M., Lyssenko, L., and Vonderlin, R. (2021). Socio-Economic Consequences of Mental Distress: Quantifying the Impact of Self-Reported Mental Distress on the Days of Incapacity to Work and Medical Costs in a Two-Year Period: A Longitudinal Study in Germany. BMC Public Health, 21.","DOI":"10.1186\/s12889-021-10637-8"},{"key":"ref_25","unstructured":"Chand, S.P., and Arif, H. (2021). Depression. StatPearls, StatPearls Publishing."},{"key":"ref_26","first-page":"81","article-title":"Ra\u00edces y Evoluci\u00f3n Del DSM","volume":"30","year":"2009","journal-title":"Rev. Hist. Psicol."},{"key":"ref_27","unstructured":"(2021, October 21). Psychiatry DSM-5 FAQ. Available online: https:\/\/www.psychiatry.org\/psychiatrists\/practice\/dsm\/feedback-and-questions\/frequently-asked-questions."},{"key":"ref_28","unstructured":"Marvin, K. (2021, October 21). Patient Health Questionnaire (PHQ-9)\u2014Strokengine. Available online: https:\/\/strokengine.ca\/en\/assessments\/patient-health-questionnaire-phq-9\/."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1159\/000502294","article-title":"The Accuracy of the Patient Health Questionnaire-9 (PHQ-9) Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis","volume":"89","author":"He","year":"2020","journal-title":"Psychother. Psychosom."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1007\/s10880-019-09629-z","article-title":"Construct Validity of the PHQ-9 Depression Screen: Correlations with Substantive Scales of the MMPI-2-RF","volume":"27","author":"McCord","year":"2020","journal-title":"J. Clin. Psychol. Med. Settings"},{"key":"ref_31","unstructured":"(2021, October 13). National Health and Nutrition Examination Survey 2017\u2014March 2020 Data Documentation, Codebook, and Frequencies\u2013Mental Health\u2013Depression Screener (P_DPQ), Available online: https:\/\/wwwn.cdc.gov\/Nchs\/Nhanes\/2017-2018\/P_DPQ.htm."},{"key":"ref_32","unstructured":"(2021, October 13). National Health and Nutrition Examination Survey P_DPQ_Dataset, Available online: https:\/\/wwwn.cdc.gov\/Nchs\/Nhanes\/2017-2018\/P_DPQ.XPT."},{"key":"ref_33","unstructured":"Holst, A. (2021, October 13). Smart Home in the United States\u2014Statistics & Facts. Available online: https:\/\/www.statista.com\/topics\/6201\/smart-home-in-the-united-states\/."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"121167","DOI":"10.1016\/j.jclepro.2020.121167","article-title":"Tailored Gamification and Serious Game Framework Based on Fuzzy Logic for Saving Energy in Smart Thermostats","volume":"262","author":"Ponce","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Mendez, J.I., Ponce, P., Mata, O., Meier, A., Peffer, T., Molina, A., and Aguilar, M. (2020, January 4\u20136). Empower Saving Energy into Smart Homes Using a Gamification Structure by Social Products. Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), IEEE, Las Vegas, NV, USA.","DOI":"10.1109\/ICCE46568.2020.9043174"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"101443","DOI":"10.1016\/j.eti.2021.101443","article-title":"Smart Home Energy Management Systems in Internet of Things Networks for Green Cities Demands and Services","volume":"22","author":"Aliero","year":"2021","journal-title":"Environ. Technol. Innov."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1007\/978-3-030-54407-2_43","article-title":"S4 Product Design Framework: A Gamification Strategy Based on Type 1 and 2 Fuzzy Logic","volume":"Volume 12015","author":"McDaniel","year":"2020","journal-title":"Smart Multimedia"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1007\/978-3-030-78092-0_29","article-title":"Designing a Consumer Framework for Social Products Within a Gamified Smart Home Context","volume":"Volume 12768","author":"Antona","year":"2021","journal-title":"Universal Access in Human-Computer Interaction. Design Methods and User Experience"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Mendez, J.I., Ponce, P., Meier, A., Peffer, T., Mata, O., and Molina, A. (2019, January 11\u201314). Framework for Promoting Social Interaction and Physical Activity in Elderly People Using Gamification and Fuzzy Logic Strategy. Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, ON, Canada.","DOI":"10.1109\/GlobalSIP45357.2019.8969110"},{"key":"ref_40","unstructured":"Antona, M., and Stephanidis, C. (2021, January 24\u201329). Smart City Concept Based on Cyber-Physical Social Systems with Hierarchical Ethical Agents Approach. Proceedings of the Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments, Washington, DC, USA."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Ponce, P., Mendez, J.I., Medina, A., Mata, O., Meier, A., Peffer, T., and Molina, A. (2021, January 18). Smart Cities Using Social Cyber-Physical Systems Driven by Education. Proceedings of the 2021 IEEE European Technology and Engineering Management Summit (E-TEMS), Dortmund, Germany.","DOI":"10.1109\/E-TEMS51171.2021.9524889"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Mendez, J.I., Ponce, P., Medina, A., Peffer, T., Meier, A., and Molina, A. (2021, January 18). A Smooth and Accepted Transition to the Future of Cities Based on the Standard ISO 37120, Artificial Intelligence, and Gamification Constructors. Proceedings of the 2021 IEEE European Technology and Engineering Management Summit (E-TEMS), Dortmund, Germany.","DOI":"10.1109\/E-TEMS51171.2021.9524900"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Camarinha-Matos, L.M., Boucher, X., and Afsarmanesh, H. (2021, January 22\u201324). A Gamified HMI as a Response for Implementing a Smart-Sustainable University Campus. Proceedings of the Smart and Sustainable Collaborative Networks 4.0, Saint-\u00c9tienne, France.","DOI":"10.1007\/978-3-030-85969-5"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Batyrshin, I., Gelbukh, A., and Sidorov, G. (2021). A Rapid HMI Prototyping Based on Personality Traits and AI for Social Connected Thermostats. Advances in Soft Computing, Springer International Publishing.","DOI":"10.1007\/978-3-030-89820-5"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1007\/978-3-030-33749-0_34","article-title":"A Model Using Artificial Neural Networks and Fuzzy Logic for Knowing the Consumer on Smart Thermostats as a S3 Product","volume":"Volume 11835","author":"Batyrshin","year":"2019","journal-title":"Advances in Soft Computing"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","article-title":"Fuzzy Sets","volume":"8","author":"Zadeh","year":"1965","journal-title":"Inf. Control."},{"key":"ref_47","unstructured":"Ponce, P. (2011). Inteligencia Artificial Con Aplicaciones a La Ingenier\u00eda, Alfaomega. [1st ed.]."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Ponce-Cruz, P., Molina, A., and MacCleery, B. (2016). Fuzzy Logic Type 1 and Type 2 Based on LabVIEW(TM) FPGA, Springer. [1st ed.].","DOI":"10.1007\/978-3-319-26656-5"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Wlodarczyk, T.W., Rong, C., O\u2019Connor, M., and Musen, M. (2011, January 25\u201327). SWRL-F: A Fuzzy Logic Extension of the Semantic Web Rule Language. Proceedings of the International Conference on Web Intelligence, Mining and Semantics\u2014WIMS \u201911, Sogndal, Norway.","DOI":"10.1145\/1988688.1988735"},{"key":"ref_50","first-page":"199","article-title":"A Fuzzy Approach for the Diagnosis of Depression","volume":"Volume 769","author":"Sieminski","year":"2018","journal-title":"Modern Approaches for Intelligent Information and Database Systems, Studies in Computational Intelligence"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Leon, E., Montejo, M., and Dorronsoro, I. (2011, January 23\u201326). Prospect of Smart Home-Based Detection of Subclinical Depressive Disorders. Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare, Dublin, Ireland.","DOI":"10.4108\/icst.pervasivehealth.2011.246106"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Pal, D., Triyason, T., and Funikul, S. (2017, January 11\u201313). Smart Homes and Quality of Life for the Elderly: A Systematic Review. Proceedings of the 2017 IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan.","DOI":"10.1109\/ISM.2017.83"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1291","DOI":"10.1007\/s12553-019-00404-6","article-title":"HomeSense: Design of an Ambient Home Health and Wellness Monitoring Platform for Older Adults","volume":"10","author":"VandeWeerd","year":"2020","journal-title":"Health Technol."},{"key":"ref_54","unstructured":"Silva, D.C.B., Cruz, P.P., Guti\u00e9rrez, A.M., and Avenda\u00f1o, L.A.S. (2020). Applications of Human-Computer Interaction and Robotics Based on Artificial Intelligence, Editorial Digital del Tecnol\u00f3gico de Monterrey."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"e31273","DOI":"10.2196\/31273","article-title":"Supporting Mental Health During the COVID-19 Pandemic Using a Digital Behavior Change Intervention: An Open-Label, Single-Arm, Pre-Post Intervention Study","volume":"5","author":"Summers","year":"2021","journal-title":"JMIR Form Res."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Mangrulkar, R.S., Michalas, A., Shekokar, N.M., Narvekar, M., and Chavan, P.V. (2021). Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques, Chapman and Hall\/CRC. [1st ed.].","DOI":"10.1201\/9781003133681"},{"key":"ref_57","unstructured":"Chou, Y. (2015). Actionable Gamification Beyond Points, Badges, and Leaderboards, Octalysis Media."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.tele.2017.11.002","article-title":"Gamification and Serious Games in Depression Care: A Systematic Mapping Study","volume":"35","author":"Dias","year":"2018","journal-title":"Telemat. Inform."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"e16643","DOI":"10.2196\/16643","article-title":"A Gamified Smartphone-Based Intervention for Depression: Randomized Controlled Pilot Trial","volume":"8","author":"Lukas","year":"2021","journal-title":"JMIR Ment. Health"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"e21678","DOI":"10.2196\/21678","article-title":"Chatbot-Based Assessment of Employees\u2019 Mental Health: Design Process and Pilot Implementation","volume":"5","author":"Hungerbuehler","year":"2021","journal-title":"JMIR Form Res."},{"key":"ref_61","unstructured":"(2021, October 14). National Health and Nutrition Examination Survey 2017\u2013March 2020 Data Documentation, Codebook, and Frequencies\u2013Demographic Variables and Sample Weights (P_DEMO), Available online: https:\/\/wwwn.cdc.gov\/Nchs\/Nhanes\/2017-2018\/P_DEMO.htm#RIAGENDR."},{"key":"ref_62","unstructured":"(2021, October 13). National Health and Nutrition Examination Survey P_DEMO_Dataset, Available online: https:\/\/wwwn.cdc.gov\/Nchs\/Nhanes\/2017-2018\/P_DEMO.XPT."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"555","DOI":"10.4097\/kjae.2016.69.6.555","article-title":"Alternatives to P Value: Confidence Interval and Effect Size","volume":"69","author":"Lee","year":"2016","journal-title":"Korean J. Anesthesiol."},{"key":"ref_64","unstructured":"M\u00e9ndez, J.I., Meza-S\u00e1nchez, A.V., Ponce, P., McDaniel, T., Meier, A., and Molina, A. (2021, November 14). PHQ9-LabVIEW Results. Available online: https:\/\/github.com\/IsabelMendezG\/PHQ9_FuzzyLogicResults."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/23\/7864\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:36:05Z","timestamp":1760168165000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/23\/7864"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,26]]},"references-count":64,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["s21237864"],"URL":"https:\/\/doi.org\/10.3390\/s21237864","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,26]]}}}