{"id":"https://openalex.org/W7126087739","doi":"https://doi.org/10.1109/bibm66473.2025.11356645","title":"A Non-Invasive Drug Use Screening Using Machine Learning and Spectral Trace Elements","display_name":"A Non-Invasive Drug Use Screening Using Machine Learning and Spectral Trace Elements","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126087739","doi":"https://doi.org/10.1109/bibm66473.2025.11356645"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124253360","display_name":"Lele Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lele Ye","raw_affiliation_strings":["School of Software and AI, Yunnan University,Kunming,China"],"affiliations":[{"raw_affiliation_string":"School of Software and AI, Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124192363","display_name":"Jinze Du","orcid":null},"institutions":[{"id":"https://openalex.org/I146071755","display_name":"Kunming University","ror":"https://ror.org/035rhx828","country_code":"CN","type":"education","lineage":["https://openalex.org/I146071755"]},{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinze Du","raw_affiliation_strings":["School of Medicine, Yunnan University,Kunming,China"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763","https://openalex.org/I146071755"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124243055","display_name":"Bin Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098820","display_name":"Yunnan Institute For Drug Abuse","ror":"https://ror.org/011wa8w96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xiong","raw_affiliation_strings":["The Fifth Compulsory Isolation Drug Rehabilitation Center of Yunnan Province,Kunming,China"],"affiliations":[{"raw_affiliation_string":"The Fifth Compulsory Isolation Drug Rehabilitation Center of Yunnan Province,Kunming,China","institution_ids":["https://openalex.org/I4210098820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124215324","display_name":"Shuangjiang He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098820","display_name":"Yunnan Institute For Drug Abuse","ror":"https://ror.org/011wa8w96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangjiang He","raw_affiliation_strings":["The Fifth Compulsory Isolation Drug Rehabilitation Center of Yunnan Province,Kunming,China"],"affiliations":[{"raw_affiliation_string":"The Fifth Compulsory Isolation Drug Rehabilitation Center of Yunnan Province,Kunming,China","institution_ids":["https://openalex.org/I4210098820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114037021","display_name":"Ben Liu","orcid":"https://orcid.org/0009-0003-7595-5258"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["Lianbao Health Technology(Yunnan) Co., Ltd.,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Lianbao Health Technology(Yunnan) Co., Ltd.,Kunming,China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076655763","display_name":"Z Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitong Zhang","raw_affiliation_strings":["Lianbao Health Technology(Yunnan) Co., Ltd.,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Lianbao Health Technology(Yunnan) Co., Ltd.,Kunming,China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124209219","display_name":"Kunhua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunhua Wang","raw_affiliation_strings":["Yunnan University,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5124253360"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71134076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4808","last_page":"4815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.0568000003695488,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11013","display_name":"Skin Protection and Aging","score":0.0038999998942017555,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"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/support-vector-machine","display_name":"Support vector machine","score":0.6044999957084656},{"id":"https://openalex.org/keywords/diffuse-reflectance-infrared-fourier-transform","display_name":"Diffuse reflectance infrared fourier transform","score":0.5509999990463257},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.5385000109672546},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.4503999948501587},{"id":"https://openalex.org/keywords/spectroscopy","display_name":"Spectroscopy","score":0.41999998688697815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4146000146865845},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.3837999999523163},{"id":"https://openalex.org/keywords/drug-detection","display_name":"Drug detection","score":0.36739999055862427}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7335000038146973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6632000207901001},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6044999957084656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982000231742859},{"id":"https://openalex.org/C156328458","wikidata":"https://www.wikidata.org/wiki/Q5275423","display_name":"Diffuse reflectance infrared fourier transform","level":4,"score":0.5509999990463257},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.5385000109672546},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C2909138979","wikidata":"https://www.wikidata.org/wiki/Q38523","display_name":"Drug detection","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.362199991941452},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5068914890289307,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G8048079573","display_name":null,"funder_award_id":"82460452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1535753778","https://openalex.org/W1836465849","https://openalex.org/W1895576754","https://openalex.org/W2071125005","https://openalex.org/W2156909104","https://openalex.org/W2161340031","https://openalex.org/W2185860255","https://openalex.org/W2295598076","https://openalex.org/W2394761027","https://openalex.org/W2487294175","https://openalex.org/W2588336250","https://openalex.org/W2883850307","https://openalex.org/W2916401612","https://openalex.org/W2998993395","https://openalex.org/W2999630783","https://openalex.org/W3007362259","https://openalex.org/W3113247822","https://openalex.org/W4213308398","https://openalex.org/W4238893454","https://openalex.org/W4324026110","https://openalex.org/W4383619745","https://openalex.org/W4389010770","https://openalex.org/W4392741075","https://openalex.org/W4402308745"],"related_works":[],"abstract_inverted_index":{"Diffuse":[0],"reflectance":[1,82],"spectroscopy":[2,83,170],"exploits":[3],"multiple":[4],"scattering":[5],"and":[6,53,73,117,139,163],"absorption":[7],"of":[8,38,145,167],"light":[9],"in":[10,60,143],"superficial":[11],"tissue":[12],"to":[13],"capture":[14],"characteristic":[15],"spectral":[16,91],"signatures.":[17],"When":[18],"combined":[19],"with":[20,84,171],"machine":[21,86],"learning,":[22],"this":[23],"approach":[24,154],"enables":[25],"accurate,":[26],"real-time,":[27],"non-invasive":[28,75],"detection.":[29],"Conventional":[30],"drug":[31,76,161,176],"screening":[32,77,162],"methods,":[33],"based":[34],"on":[35,130],"biochemical":[36],"assays":[37],"urine,":[39],"blood,":[40],"or":[41],"hair":[42],"are":[43],"limited":[44],"by":[45],"their":[46,58],"invasiveness,":[47],"long":[48],"turnaround":[49],"time,":[50],"high":[51,136],"cost,":[52],"poor":[54],"portability":[55],"that":[56,79],"hinder":[57],"use":[59],"rapid,":[61],"large-scale":[62],"applications.":[63],"To":[64],"address":[65],"these":[66],"limitations,":[67],"we":[68],"propose":[69],"a":[70,126,156],"fast,":[71],"efficient,":[72],"high-accuracy":[74],"framework":[78],"integrates":[80],"diffuse":[81],"sex-stratified":[85],"learning":[87],"models.":[88],"A":[89],"skin":[90],"trace":[92],"element":[93],"database":[94],"was":[95],"established":[96],"using":[97],"data":[98],"collected":[99],"from":[100],"over":[101],"two":[102],"thousand":[103],"individuals.":[104],"Two":[105],"sequential":[106],"classification":[107,137],"pipelines":[108],"were":[109],"developed:":[110],"support":[111],"vector":[112],"machines":[113],"for":[114,122,159,174],"male":[115],"subjects":[116],"an":[118],"Extreme":[119],"Gradient":[120],"Boosting":[121],"female":[123],"subjects.":[124],"In":[125],"case":[127],"study":[128],"focused":[129],"heroin":[131],"detection,":[132],"both":[133],"models":[134],"achieved":[135],"accuracy":[138],"demonstrated":[140],"strong":[141],"performance":[142],"terms":[144],"the":[146,149,165],"area":[147],"under":[148],"receiver":[150],"operating":[151],"curve.":[152],"This":[153],"provides":[155],"practical":[157],"solution":[158],"preliminary":[160],"demonstrates":[164],"promise":[166],"combining":[168],"optical":[169],"artificial":[172],"intelligence":[173],"real-world":[175],"surveillance.":[177]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
