{"id":"https://openalex.org/W4404032832","doi":"https://doi.org/10.1109/icccnt61001.2024.10724350","title":"Machine Learning-Powered Predictive Analysis for Stress Detection during Pregnancy","display_name":"Machine Learning-Powered Predictive Analysis for Stress Detection during Pregnancy","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404032832","doi":"https://doi.org/10.1109/icccnt61001.2024.10724350"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10724350","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10724350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014932492","display_name":"S. Sivasakthiselvan","orcid":null},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Sivasakthiselvan","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of ECE,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of ECE,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047176337","display_name":"Panchapakesan Ganesh","orcid":"https://orcid.org/0000-0002-7170-2902"},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P Ganesh","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of ECE,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of ECE,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114512220","display_name":"G GirishKanna","orcid":null},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G GirishKanna","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of ECE,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of ECE,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112620229","display_name":"K. Harish","orcid":null},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K.A Harish","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of ECE,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of ECE,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014932492"],"corresponding_institution_ids":["https://openalex.org/I4399657946"],"apc_list":null,"apc_paid":null,"fwci":0.4264,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69723699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.527899980545044,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.527899980545044,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12935","display_name":"Healthcare Systems and Public Health","score":0.5223000049591064,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092553734779358},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5771865248680115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4577310383319855},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.4318457841873169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39368730783462524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092553734779358},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5771865248680115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4577310383319855},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.4318457841873169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39368730783462524},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10724350","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10724350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2807758217","https://openalex.org/W2885251459","https://openalex.org/W3117934265","https://openalex.org/W3126360967","https://openalex.org/W3142808426","https://openalex.org/W3194230697","https://openalex.org/W3200369452","https://openalex.org/W4205570931","https://openalex.org/W4213026872","https://openalex.org/W4318199991","https://openalex.org/W4321498125","https://openalex.org/W4375946832","https://openalex.org/W4386690515","https://openalex.org/W4389097062"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"this":[1,107],"work,":[2],"we":[3],"developed":[4],"a":[5,56],"non-invasive":[6,99],"maternal":[7,110],"health":[8,111],"monitoring":[9,112],"system":[10],"using":[11,39],"wearable":[12],"sensors":[13,100],"to":[14,34,87,90],"collect":[15],"real-time":[16],"physiological":[17,50],"data,":[18],"including":[19],"heart":[20],"rate,":[21],"body":[22],"temperature,":[23],"and":[24,43,63,84,93,101,113,120],"EEG":[25],"signals,":[26],"from":[27],"pregnant":[28,121],"women.":[29,122],"The":[30],"primary":[31],"objective":[32],"is":[33],"accurately":[35],"predict":[36],"stress":[37],"levels":[38],"K-Nearest":[40],"Neighbour":[41],"(KNN)":[42],"Naive":[44],"Bayes":[45],"algorithms":[46],"based":[47],"on":[48],"these":[49],"inputs.":[51],"Our":[52],"validated":[53],"outcomes":[54],"demonstrate":[55],"high":[57],"accuracy":[58],"of":[59,71],"96%":[60],"in":[61,65],"training":[62],"91%":[64],"testing":[66],"phases,":[67],"confirming":[68],"the":[69],"reliability":[70],"our":[72],"approach.":[73],"This":[74],"method":[75],"holds":[76],"significant":[77],"implications":[78],"for":[79],"antenatal":[80],"care,":[81],"offering":[82],"timely":[83],"actionable":[85],"information":[86],"healthcare":[88,118],"providers":[89,119],"better":[91],"assist":[92],"support":[94],"expectant":[95],"mothers.":[96],"By":[97],"integrating":[98],"machine":[102],"learning":[103],"via":[104],"Python":[105],"programming,":[106],"research":[108],"enhances":[109],"could":[114],"substantially":[115],"benefit":[116],"both":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
