{"id":"https://openalex.org/W1578482517","doi":"https://doi.org/10.1007/978-3-642-19170-1_13","title":"Design and Applications of Intelligent Systems in Identifying Future Occurrence of Tuberculosis Infection in Population at Risk","display_name":"Design and Applications of Intelligent Systems in Identifying Future Occurrence of Tuberculosis Infection in Population at Risk","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1578482517","doi":"https://doi.org/10.1007/978-3-642-19170-1_13","mag":"1578482517"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-19170-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-19170-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-19170-1_13.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP Advances in Information and Communication Technology","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-19170-1_13.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005526737","display_name":"A. Ardalan","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adel Ardalan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, 53706, USA","University of Wisconsin \u2013,"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, 53706, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin \u2013,","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072848827","display_name":"Ebru S. Selen Alpergin","orcid":"https://orcid.org/0000-0002-4345-3945"},"institutions":[{"id":"https://openalex.org/I15059493","display_name":"\u0130zmir University of Economics","ror":"https://ror.org/04hjr4202","country_code":"TR","type":"education","lineage":["https://openalex.org/I15059493"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ebru Selin Selen","raw_affiliation_strings":["Department of Applied Statistics and Applied Mathematics, Izmir University of Economics, 35330, Balcova, TR","Izmir University of Economics"],"affiliations":[{"raw_affiliation_string":"Department of Applied Statistics and Applied Mathematics, Izmir University of Economics, 35330, Balcova, TR","institution_ids":["https://openalex.org/I15059493"]},{"raw_affiliation_string":"Izmir University of Economics","institution_ids":["https://openalex.org/I15059493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004746584","display_name":"Hesam Dashti","orcid":"https://orcid.org/0000-0003-4566-0582"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hesam Dashti","raw_affiliation_strings":["Department of Mathematics, University of Wisconsin, Madison, WI, 53706","University of Wisconsin \u2013,"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Wisconsin, Madison, WI, 53706","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin \u2013,","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066115019","display_name":"Adel M. Talaat","orcid":"https://orcid.org/0000-0003-3305-7903"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adel Talaat","raw_affiliation_strings":["Department of Animal Health and Biomedical Sciences, University of Wisconsin, Madison, WI, 53706, USA","University of Wisconsin \u2013,"],"affiliations":[{"raw_affiliation_string":"Department of Animal Health and Biomedical Sciences, University of Wisconsin, Madison, WI, 53706, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin \u2013,","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046954883","display_name":"Amir H. Assadi","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Assadi","raw_affiliation_strings":["Department of Mathematics, University of Wisconsin, Madison, WI, 53706","University of Wisconsin \u2013,"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Wisconsin, Madison, WI, 53706","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin \u2013,","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005526737"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09090909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10038","display_name":"Tuberculosis Research and Epidemiology","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T10038","display_name":"Tuberculosis Research and Epidemiology","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T11316","display_name":"Mycobacterium research and diagnosis","score":0.984000027179718,"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/disease","display_name":"Disease","score":0.7031785845756531},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"Tuberculosis","score":0.6879492402076721},{"id":"https://openalex.org/keywords/mycobacterium-tuberculosis","display_name":"Mycobacterium tuberculosis","score":0.6219282150268555},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5165359377861023},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.47393137216567993},{"id":"https://openalex.org/keywords/immune-system","display_name":"Immune system","score":0.45384353399276733},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.44117850065231323},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.39476752281188965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37659111618995667},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3653271198272705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35967904329299927},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3541256785392761},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3325008749961853},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.2832536995410919},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.22258973121643066},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.17279991507530212},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.17263326048851013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1173454225063324},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10542228817939758}],"concepts":[{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.7031785845756531},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.6879492402076721},{"id":"https://openalex.org/C2777975735","wikidata":"https://www.wikidata.org/wiki/Q130971","display_name":"Mycobacterium tuberculosis","level":3,"score":0.6219282150268555},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5165359377861023},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.47393137216567993},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.45384353399276733},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.44117850065231323},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.39476752281188965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37659111618995667},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3653271198272705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35967904329299927},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3541256785392761},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3325008749961853},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.2832536995410919},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.22258973121643066},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.17279991507530212},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.17263326048851013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1173454225063324},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10542228817939758}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-19170-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-19170-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-19170-1_13.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP Advances in Information and Communication Technology","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01566553v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01566553","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2nd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2011, Costa de Caparica, Portugal. pp.117-128, &#x27E8;10.1007/978-3-642-19170-1_13&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1007/978-3-642-19170-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-19170-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-19170-1_13.pdf","source":{"id":"https://openalex.org/S4210175514","display_name":"IFIP International Federation for Information Processing/IFIP","issn_l":"1571-5736","issn":["1571-5736","1861-2288"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFIP Advances in Information and Communication Technology","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1578482517.pdf","grobid_xml":"https://content.openalex.org/works/W1578482517.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W625910333","https://openalex.org/W1708147736","https://openalex.org/W1974234256","https://openalex.org/W2007154098","https://openalex.org/W2024974612","https://openalex.org/W2085662298","https://openalex.org/W2086472796","https://openalex.org/W2096045964","https://openalex.org/W2156512439","https://openalex.org/W2156909104","https://openalex.org/W2165539745","https://openalex.org/W2174160981","https://openalex.org/W2898916015","https://openalex.org/W4211229987","https://openalex.org/W4230674625","https://openalex.org/W4238592905"],"related_works":["https://openalex.org/W4308058527","https://openalex.org/W2972094210","https://openalex.org/W2110949356","https://openalex.org/W1538374398","https://openalex.org/W2050407936","https://openalex.org/W2042252940","https://openalex.org/W2411061500","https://openalex.org/W3160640465","https://openalex.org/W2394233015","https://openalex.org/W4206946219"],"abstract_inverted_index":{"Tuberculosis":[0],"is":[1,81,168,193],"a":[2,54,116,132,151,178,219,266],"treatable":[3],"but":[4],"severe":[5],"disease":[6,31,75,201],"caused":[7],"by":[8,14],"Mycobacterium":[9],"tuberculosis":[10],"(Mtb).":[11],"Recent":[12],"statistics":[13],"international":[15],"health":[16,351],"organizations":[17],"estimate":[18,96],"the":[19,38,71,74,102,105,127,137,144,174,182,197,200,213,216,244,277,292,298,301,306,309,326,338],"Mtb":[20,93],"exposure":[21],"to":[22,37,57,63,95,170,211,224,248,269,315,345,347],"have":[23],"reached":[24],"over":[25],"two":[26],"billion":[27],"individuals.":[28],"Delay":[29],"in":[30,108,159,258,297,333],"diagnosis":[32],"could":[33,122],"be":[34,123],"fatal,":[35],"especially":[36],"population":[39],"at":[40,177,194,287],"risk,":[41],"such":[42],"as":[43,158,172,314],"individuals":[44,286],"with":[45],"compromised":[46],"immune":[47],"systems.":[48],"Intelligent":[49],"decision":[50],"systems":[51,90],"(IDS)":[52],"provide":[53,316],"promising":[55,267],"tool":[56],"expedite":[58],"discovery":[59],"of":[60,70,73,92,101,104,118,136,143,146,154,196,199,207,215,282,291,294,300,308,342],"biomarkers,":[61],"and":[62,89,210,279,305,336],"boost":[64],"their":[65],"impact":[66],"on":[67,203,275],"earlier":[68],"prediction":[69,100,142],"likelihood":[72],"onset.":[76],"A":[77,164],"novel":[78],"IDS":[79,263,302],"(iTB)":[80],"designed":[82,169],"that":[83,191,252],"integrates":[84],"results":[85],"from":[86,181,285],"molecular":[87],"medicine":[88],"biology":[91],"infection":[94],"model":[97,114],"parameters":[98],"for":[99,141,218,227,232,320,325,340],"dynamics":[103],"gene":[106,240],"networks":[107],"Mtb-infected":[109],"laboratory":[110],"animals.":[111],"The":[112,187,289,329],"mouse":[113],"identifies":[115],"number":[117,135],"genes":[119,140,251],"whose":[120],"expressions":[121],"significantly":[124],"altered":[125],"during":[126,243],"TB":[128,147],"activation.":[129],"Among":[130],"them,":[131],"much":[133],"smaller":[134],"most":[138],"informative":[139],"onset":[145,198],"are":[148,253],"selected":[149],"using":[150],"modified":[152],"version":[153],"Empirical":[155],"Risk":[156],"Minimization":[157],"Vapnik\u2019s":[160],"statistical":[161],"learning":[162],"theory.":[163],"hybrid":[165],"intelligent":[166],"system":[167],"take":[171],"input":[173],"mRNA":[175,208],"abundance":[176],"near":[179],"genome-size":[180],"individual-to-be-tested,":[183],"measured":[184],"3-4":[185],"times.":[186],"algorithms":[188],"determine":[189],"if":[190],"individual":[192],"risk":[195],"based":[202,274],"our":[204,343],"current":[205],"analysis":[206,242,281],"data,":[209],"predict":[212],"values":[214],"biomarkers":[217],"future":[220],"period":[221],"(of":[222],"up":[223],"60":[225],"days":[226],"mice;":[228],"this":[229,262],"may":[230],"differ":[231],"humans).":[233],"An":[234],"early":[235],"warning":[236],"sign":[237],"allows":[238],"conducting":[239],"expression":[241],"activation":[245],"which":[246],"aims":[247],"find":[249],"key":[250],"expressed.":[254],"With":[255],"rapid":[256],"advances":[257],"low-cost":[259],"genome-based":[260],"diagnosis,":[261],"architecture":[264],"provides":[265,337],"platform":[268],"advance":[270],"Personalized":[271],"Health":[272],"Care":[273],"sequencing":[276],"genome":[278],"microarray":[280],"samples":[283],"obtained":[284],"risk.":[288],"novelty":[290],"design":[293,303,331],"iTB":[295,330],"lies":[296],"integration":[299],"principles":[304],"solution":[307],"biological":[310],"problems":[311],"hand-in-hand,":[312],"so":[313],"an":[317],"AI":[318],"framework":[319],"biologically":[321],"better-targeted":[322],"personalized":[323],"prevention/treatment":[324],"high-risk":[327],"groups.":[328],"applies":[332],"more":[334],"generality,":[335],"potential":[339],"extension":[341],"AI-approach":[344],"personalized-medicine":[346],"prevent":[348],"other":[349],"public":[350],"pandemics.":[352]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
