{"id":"https://openalex.org/W2796211800","doi":null,"title":"AMD, analysis of mood dysregulation : a machine learning approach","display_name":"AMD, analysis of mood dysregulation : a machine learning approach","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2796211800","mag":"2796211800"},"language":"en","primary_location":{"id":"pmh:oai:https://mospace.umsystem.edu:10355/62610","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10355/62610","pdf_url":null,"source":{"id":"https://openalex.org/S4306400929","display_name":"MOspace Institutional Repository (University of Missouri)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I76835614","host_organization_name":"University of Missouri","host_organization_lineage":["https://openalex.org/I76835614"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10355/62610","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087828458","display_name":"Nickolas M. Wergeles","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nickolas M. Wergeles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5087828458"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.007899999618530273,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.00430000014603138,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mood-dysregulation","display_name":"mood dysregulation","score":0.9950000047683716},{"id":"https://openalex.org/keywords/emotion-dysregulation","display_name":"emotional dysregulation","score":0.9039999842643738},{"id":"https://openalex.org/keywords/wearable-sensors","display_name":"wearable sensors","score":0.9629999995231628},{"id":"https://openalex.org/keywords/physiological-signals","display_name":"physiological signals","score":0.6299999952316284},{"id":"https://openalex.org/keywords/time-of-day-effects","display_name":"time of day effects","score":0.6499999761581421},{"id":"https://openalex.org/keywords/unobtrusive-data-collection","display_name":"unobtrusive data collection","score":0.6240000128746033},{"id":"https://openalex.org/keywords/stress","display_name":"stress","score":0.3919999897480011},{"id":"https://openalex.org/keywords/machine-learning-pipelines","display_name":"machine learning pipelines","score":0.5699999928474426}],"concepts":[{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.6895506381988525},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5339927077293396},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.41224706172943115},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.3709603548049927}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:https://mospace.umsystem.edu:10355/62610","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10355/62610","pdf_url":null,"source":{"id":"https://openalex.org/S4306400929","display_name":"MOspace Institutional Repository (University of Missouri)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I76835614","host_organization_name":"University of Missouri","host_organization_lineage":["https://openalex.org/I76835614"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:2796211800","doi":null,"is_oa":false,"landing_page_url":"https://mospace.umsystem.edu/xmlui/bitstream/10355/62610/1/public.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:https://mospace.umsystem.edu:10355/62610","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10355/62610","pdf_url":null,"source":{"id":"https://openalex.org/S4306400929","display_name":"MOspace Institutional Repository (University of Missouri)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I76835614","host_organization_name":"University of Missouri","host_organization_lineage":["https://openalex.org/I76835614"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W128727216","https://openalex.org/W205259702","https://openalex.org/W1659676321","https://openalex.org/W1912123407","https://openalex.org/W1984288569","https://openalex.org/W1988163678","https://openalex.org/W1993223462","https://openalex.org/W1996573126","https://openalex.org/W2022646936","https://openalex.org/W2036938992","https://openalex.org/W2068527329","https://openalex.org/W2103151433","https://openalex.org/W2107444190","https://openalex.org/W2108950108","https://openalex.org/W2120279490","https://openalex.org/W2127963147","https://openalex.org/W2133990480","https://openalex.org/W2150290224","https://openalex.org/W2162555816","https://openalex.org/W2164368909","https://openalex.org/W2164777277","https://openalex.org/W2171801645","https://openalex.org/W2245231029","https://openalex.org/W2395482586","https://openalex.org/W2751379301","https://openalex.org/W2941676545","https://openalex.org/W4245933202","https://openalex.org/W4252600032","https://openalex.org/W4255304519"],"related_works":["https://openalex.org/W4393195163","https://openalex.org/W2996847594","https://openalex.org/W2964208452","https://openalex.org/W4407568854","https://openalex.org/W3037651932","https://openalex.org/W2966224242","https://openalex.org/W2982012856","https://openalex.org/W7155093477","https://openalex.org/W4398788986","https://openalex.org/W4412632607"],"abstract_inverted_index":{"There":[0],"is":[1,91,111],"a":[2,67,78,150,242],"popular":[3],"saying,":[4],"\"Stress":[5],"kills.\"":[6],"This":[7,75],"statement":[8],"can":[9,20,245],"be":[10],"true":[11],"with":[12,66,250],"repeated":[13],"exposures":[14],"to":[15,22,48,93,240,254],"psychological":[16,45,102],"mood":[17,64,95,147,163,182,211,238,247],"dysregulation,":[18],"which":[19,90],"lead":[21],"or":[23,96],"worsen":[24],"stress":[25],"related":[26],"conditions":[27],"such":[28],"as":[29],"heart":[30],"disease":[31],"and":[32,106,133,145,180,216,225,237,256],"cancer.":[33],"Therefore,":[34],"mobile":[35],"ambulatory":[36],"assessment":[37],"systems":[38],"are":[39,55],"actively":[40],"being":[41,58],"developed":[42],"for":[43,60,139,165,198,274],"various":[44],"studies.":[46],"However,":[47],"the":[49,61,72,159,169,202,214,223,231,258],"best":[50],"of":[51,63,86,178,204,266,270],"our":[52],"knowledge,":[53],"there":[54],"very":[56],"few":[57],"used":[59,92],"detection":[62],"dysregulation":[65,98,164,212,239,248],"continuous":[68,140],"measurement":[69],"collected":[70,112,184],"in":[71,122,158,168],"natural":[73,124],"environment.":[74],"research":[76],"presents":[77],"new":[79],"automatic":[80],"machine":[81,136],"learning":[82,137],"pipeline,":[83],"called":[84],"Analysis":[85],"Mood":[87],"Dysregulation":[88],"(AMD),":[89],"assess":[94],"emotional":[97],"caused":[99],"by":[100,113,120,206],"underlying":[101],"disorders,":[103],"environmental":[104],"factors,":[105],"daily":[107],"activities.":[108],"The":[109],"data":[110,161,183],"unobtrusive":[114],"wearable":[115],"sensors,":[116],"without":[117],"pre-calibration,":[118],"worn":[119],"subjects":[121,187],"their":[123,189],"environments.":[125],"In":[126],"this":[127],"research,":[128],"we":[129],"propose,":[130],"build,":[131],"train,":[132],"test":[134,257],"multiple":[135],"models":[138,172],"prediction":[141],"on":[142],"rapidly":[143],"varying":[144],"sporadic":[146],"data.":[148],"As":[149],"result,":[151],"each":[152,166,199,275],"model":[153,243,259],"will":[154],"predict":[155,246],"whether":[156],"changes":[157],"physiological":[160,179,235],"represent":[162],"subject":[167],"study.":[170],"All":[171],"were":[173],"trained":[174],"using":[175],"two":[176],"weeks":[177],"self-initiated":[181],"from":[185],"22":[186],"during":[188,213],"everyday":[190],"lives.":[191],"We":[192,228],"found":[193],"that":[194,244],"creating":[195],"time":[196,265],"categories":[197,218],"day":[200],"improves":[201],"accuracy":[203],"AMD":[205],"more":[207,221],"than":[208,222],"10%.":[209],"Additionally,":[210],"afternoon":[215],"evening":[217],"happens":[219],"60.54%":[220],"morning":[224],"night":[226],"categories.":[227],"then":[229],"analyze":[230],"relationship":[232],"between":[233],"time,":[234],"measurements,":[236],"develop":[241],"episodes":[249],"93.31%":[251],"accuracy.":[252],"Moreover,":[253],"train":[255],"yields":[260],"an":[261],"average":[262],"total":[263],"execution":[264],"35.66":[267],"seconds":[268],"consisting":[269],"approximately":[271],"386,000":[272],"records":[273],"user.":[276]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2018-04-13T00:00:00"}