{"id":"https://openalex.org/W7217440490","doi":null,"title":"AI-Driven Predictive Analytics Framework for Early Detection and Forecasting of Infectious Disease Outbreaks Using Hybrid Machine Learning Models","display_name":"AI-Driven Predictive Analytics Framework for Early Detection and Forecasting of Infectious Disease Outbreaks Using Hybrid Machine Learning Models","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7217440490"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.ijerst.org:article/1833","doi":null,"is_oa":true,"landing_page_url":"https://ijerst.org/index.php/ijerst/article/view/1833","pdf_url":"https://ijerst.org/index.php/ijerst/article/download/1833/1662","source":{"id":"https://openalex.org/S5406990484","display_name":"International Journal of Engineering Research and Science & Technology","issn_l":"2319-5991","issn":["2319-5991"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2319-5991","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijerst.org/index.php/ijerst/article/download/1833/1662","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5154296239","display_name":"Pulimetla Vikas","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405266258","display_name":"Chaitanya","ror":"https://ror.org/01m1bpg27","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405266258"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pulimetla Vikas","raw_affiliation_strings":["Chaitanya Knowledge City , Rajamahendravaram -533296 , E.G.Dist , Andhra Pradesh","Tech Student , Department of CSE , Godavari Global University , NH-16 ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chaitanya Knowledge City , Rajamahendravaram -533296 , E.G.Dist , Andhra Pradesh","institution_ids":["https://openalex.org/I4405266258"]},{"raw_affiliation_string":"Tech Student , Department of CSE , Godavari Global University , NH-16 ,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5155012982","display_name":"D. D. D. Suri Babu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405266258","display_name":"Chaitanya","ror":"https://ror.org/01m1bpg27","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405266258"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. D. D. Suri Babu","raw_affiliation_strings":["Asst Prof , Department of CSE , Godavari Global University , NH-16 ,","Chaitanya Knowledge City , Rajamahendravaram -533296 , E.G.Dist , Andhra Pradesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asst Prof , Department of CSE , Godavari Global University , NH-16 ,","institution_ids":[]},{"raw_affiliation_string":"Chaitanya Knowledge City , Rajamahendravaram -533296 , E.G.Dist , Andhra Pradesh","institution_ids":["https://openalex.org/I4405266258"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5154375907","display_name":"Dr. D. Sathish Kumar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405266258","display_name":"Chaitanya","ror":"https://ror.org/01m1bpg27","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405266258"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D.Phani Kumar","raw_affiliation_strings":["Asst Prof , Department of CSE , Godavari Global University , NH-16 ,","Chaitanya Knowledge City , Rajamahendravaram -533296 , E.G.Dist , Andhra Pradesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asst Prof , Department of CSE , Godavari Global University , NH-16 ,","institution_ids":[]},{"raw_affiliation_string":"Chaitanya Knowledge City , Rajamahendravaram -533296 , E.G.Dist , Andhra Pradesh","institution_ids":["https://openalex.org/I4405266258"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405266258"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11581","display_name":"Viral Infections and Outbreaks Research","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/early-outbreak-detection","display_name":"early outbreak detection","score":0.9269999861717224},{"id":"https://openalex.org/keywords/disease-surveillance","display_name":"disease surveillance","score":0.8560000061988831},{"id":"https://openalex.org/keywords/social-media-text-analysis","display_name":"social media text analysis","score":0.7919999957084656},{"id":"https://openalex.org/keywords/climatic-variables","display_name":"climatic variables","score":0.8640000224113464},{"id":"https://openalex.org/keywords/human-mobility","display_name":"human mobility","score":0.8679999709129333},{"id":"https://openalex.org/keywords/hybrid-machine-learning","display_name":"hybrid machine learning","score":0.8080000281333923},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.6620000004768372},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.6420000195503235},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.6380000114440918},{"id":"https://openalex.org/keywords/real-time-web-application","display_name":"real-time web application","score":0.7490000128746033},{"id":"https://openalex.org/keywords/public-health-decision-support","display_name":"public health decision support","score":0.7720000147819519}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7986000180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6913999915122986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675599992275238},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.6234999895095825},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5396999716758728},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.4569000005722046},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40720000863075256},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.39259999990463257},{"id":"https://openalex.org/C2776480101","wikidata":"https://www.wikidata.org/wiki/Q3555250","display_name":"Disease surveillance","level":3,"score":0.3569999933242798},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34850001335144043},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.2924000024795532},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.25060001015663147},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.ijerst.org:article/1833","doi":null,"is_oa":true,"landing_page_url":"https://ijerst.org/index.php/ijerst/article/view/1833","pdf_url":"https://ijerst.org/index.php/ijerst/article/download/1833/1662","source":{"id":"https://openalex.org/S5406990484","display_name":"International Journal of Engineering Research and Science & Technology","issn_l":"2319-5991","issn":["2319-5991"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2319-5991","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.ijerst.org:article/1833","doi":null,"is_oa":true,"landing_page_url":"https://ijerst.org/index.php/ijerst/article/view/1833","pdf_url":"https://ijerst.org/index.php/ijerst/article/download/1833/1662","source":{"id":"https://openalex.org/S5406990484","display_name":"International Journal of Engineering Research and Science & Technology","issn_l":"2319-5991","issn":["2319-5991"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2319-5991","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7217440490.pdf","grobid_xml":"https://content.openalex.org/works/W7217440490.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2143469080","https://openalex.org/W3022371575","https://openalex.org/W3025394897","https://openalex.org/W4210253225"],"related_works":["https://openalex.org/W7167919750","https://openalex.org/W7217690169","https://openalex.org/W7164901988","https://openalex.org/W7101430261","https://openalex.org/W7220035925","https://openalex.org/W7217578633","https://openalex.org/W4409547212","https://openalex.org/W4416953233","https://openalex.org/W4415368389","https://openalex.org/W4413223457"],"abstract_inverted_index":{"Due":[0],"to":[1,83,104,155,240],"globalization,":[2],"climate":[3,91],"variability,":[4],"urbanization,":[5],"and":[6,15,33,41,59,70,97,122,135,147,153,163,188,209,233,255],"population":[7,95,227],"mobility,":[8],"infectious":[9,61],"disease":[10,24,108,252],"outbreaks":[11,45,63],"have":[12],"become":[13],"frequent":[14],"more":[16],"severe":[17],"than":[18],"ever":[19],"in":[20,216,249,256],"recent":[21],"years.":[22],"Traditional":[23],"surveillance":[25,253],"mechanisms":[26,254],"are":[27,139,213],"based":[28],"on":[29],"slow":[30],"manual":[31],"reporting":[32],"one-sided":[34],"epidemiological":[35],"signals,":[36],"which":[37],"would":[38],"be":[39],"reactive":[40],"do":[42],"not":[43],"detect":[44],"early.":[46],"The":[47,76,222,237],"given":[48],"paper":[49],"introduces":[50],"an":[51],"AI-guided":[52],"predictive":[53,243,247],"analytics":[54,248],"platform":[55],"aimed":[56],"at":[57],"detecting":[58],"predicting":[60],"diseases":[62],"earlier":[64],"by":[65,101,219],"merging":[66],"diverse":[67],"data":[68,93,116],"sources":[69],"using":[71],"advanced":[72],"machine":[73,133],"learning":[74,134,137],"solutions.":[75],"methodology":[77],"of":[78,87,120,124,160,165,245,260],"the":[79,161,166,174,179,183,196,220,242,258],"proposed":[80],"system":[81],"is":[82,113,178],"utilize":[84],"a":[85,157,200,261],"combination":[86],"historical":[88],"epidemological":[89],"data,":[90],"variables,":[92],"regarding":[94],"movement,":[96],"text-based":[98],"information":[99],"provided":[100],"social":[102],"media":[103],"capture":[105],"complicated":[106],"spatio-temporal":[107],"patterns.":[109],"Complete":[110],"preprocessing":[111],"pipeline":[112],"used,":[114],"encompassing":[115],"cleaning,":[117],"normalization,":[118],"balancing":[119],"classes":[121],"analysis":[123],"unstructured":[125],"text":[126],"uses":[127],"Natural":[128],"Language":[129],"Processing":[130],"(NLP).":[131],"Several":[132],"deep":[136],"models":[138,198],"utilized,":[140],"such":[141],"as":[142],"Random":[143],"Forest,":[144],"Decision":[145],"Tree,":[146],"Neural":[148,175],"Network":[149,176],"architectures,":[150],"all":[151],"trained":[152,197],"tested":[154],"estimate":[156],"risk":[158],"rating":[159],"outbreak":[162,205],"types":[164],"disease.":[167],"It":[168],"has":[169],"been":[170],"proved":[171],"experimentally":[172],"that":[173],"model":[177],"best":[180],"predictor,":[181],"with":[182,191],"highest":[184],"accuracy,":[185],"precision,":[186],"recall,":[187],"F1-score":[189],"compared":[190],"traditional":[192],"classifiers.":[193],"By":[194],"deploying":[195],"under":[199],"Flaskpowered":[201],"web":[202],"application,":[203],"real-time":[204],"prediction,":[206],"confidence":[207],"scores,":[208],"interactive":[210],"visualization":[211],"dashboards":[212],"made":[214],"usable":[215],"decision":[217],"making":[218],"application.":[221],"suggested":[223],"framework":[224],"allows":[225],"proactive,":[226],"health":[228],"intervention,":[229],"effective":[230],"resource":[231],"distribution,":[232],"better":[234],"epidemic":[235],"preparedness.":[236],"work":[238],"continues":[239],"show":[241],"efficacy":[244],"AI-based":[246],"enhancing":[250],"modern":[251],"informing":[257],"decisions":[259],"data-driven":[262],"public":[263],"health.":[264]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-03T00:00:00"}