{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T06:14:13Z","timestamp":1759385653082,"version":"3.37.3"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,6]]},"DOI":"10.1109\/bibm55620.2022.9994921","type":"proceedings-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T19:09:24Z","timestamp":1672686564000},"page":"2203-2207","source":"Crossref","is-referenced-by-count":6,"title":["A Machine-Learning Approach for Predicting Depression Through Demographic and Socioeconomic Features"],"prefix":"10.1109","author":[{"given":"Joseph","family":"Sun","sequence":"first","affiliation":[{"name":"Phillips Academy Andover,Andover,MA,01810"}]},{"given":"Rory","family":"Liao","sequence":"additional","affiliation":[{"name":"Ohio State University,Department of Computer Science and Engineering,Columbus,OH,USA,43210"}]},{"given":"Mikhail Y.","family":"Shalaginov","sequence":"additional","affiliation":[{"name":"MIT,Department of Materials Sciences and Engineering,Cambridge,MA,USA"}]},{"given":"Tingying Helen","family":"Zeng","sequence":"additional","affiliation":[{"name":"Divison of Career Education Academy for Advanced Research and Development (AARD),Cambridge,MA,USA,02142"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104499"},{"volume-title":"Depression","year":"2022","key":"ref2"},{"volume-title":"NHIS \u2013 2019 NHIS","year":"2021","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2020.09.131"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1056\/nejmra2033475"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/pubmed\/fdaa250"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1136\/jech-2020-215213"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0272330"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/02723638.2021.2003589"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0042098020986499"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.442"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0261131"},{"volume-title":"Catboost classifier in python","year":"2022","key":"ref13"},{"volume-title":"Analytics Vidhya","year":"2021","key":"ref14"},{"key":"ref15","article-title":"How to develop a random forest ensemble in python","author":"Brownlee","year":"2020","journal-title":"Machine Learning Mastery"},{"key":"ref16","article-title":"How to develop your first xgboost model in python","author":"Brownlee","year":"2016","journal-title":"Machine Learning Mastery"},{"issue":"5","key":"ref17","first-page":"360","article-title":"Understanding interobserver agreement: The kappa statistic","volume":"37","author":"Viera","year":"2005","journal-title":"Family Medicine"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00787-020-01520-9"}],"event":{"name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2022,12,6]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2022,12,8]]}},"container-title":["2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9994793\/9994847\/09994921.pdf?arnumber=9994921","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T12:39:14Z","timestamp":1706791154000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9994921\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/bibm55620.2022.9994921","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}