{"id":"https://openalex.org/W7220035925","doi":null,"title":"AI-Integrated Predictive Modeling of Disease Outbreaks Using Large-Scale Healthcare and Environmental Data","display_name":"AI-Integrated Predictive Modeling of Disease Outbreaks Using Large-Scale Healthcare and Environmental Data","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7220035925"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.jmcijournal.com:article/30","doi":null,"is_oa":true,"landing_page_url":"https://jmcijournal.com/index.php/home/article/view/30","pdf_url":null,"source":{"id":"https://openalex.org/S7407079605","display_name":"Journal of Computational Medicine and Informatics","issn_l":"3107-3735","issn":["3107-3735"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3107-3735","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://jmcijournal.com/index.php/home/article/view/30","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5144072753","display_name":"K. Kavin Prabhu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"K. Kavin Prabhu","raw_affiliation_strings":["Department of Computer Science, Erode Arts and Science College (Autonomous), Erode, Tamil Nadu - 638009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Erode Arts and Science College (Autonomous), Erode, Tamil Nadu - 638009","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5144072753"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":0.9980000257492065,"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":0.9980000257492065,"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/T11244","display_name":"Climate Change and Health Impacts","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical 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"}}],"keywords":[{"id":"https://openalex.org/keywords/epidemic-forecasting","display_name":"epidemic forecasting","score":0.9660000205039978},{"id":"https://openalex.org/keywords/outbreak-detection","display_name":"outbreak detection","score":0.902999997138977},{"id":"https://openalex.org/keywords/disease-surveillance","display_name":"disease surveillance","score":0.6650000214576721},{"id":"https://openalex.org/keywords/multi-source-data-fusion","display_name":"multi-source data fusion","score":0.8360000252723694},{"id":"https://openalex.org/keywords/health-data","display_name":"health data","score":0.8270000219345093},{"id":"https://openalex.org/keywords/environmental-data","display_name":"environmental data","score":0.949999988079071},{"id":"https://openalex.org/keywords/meteorological-variables","display_name":"meteorological parameters","score":0.9449999928474426},{"id":"https://openalex.org/keywords/air-quality","display_name":"air quality","score":0.9629999995231628},{"id":"https://openalex.org/keywords/early-warning","display_name":"early warning","score":0.43299999833106995},{"id":"https://openalex.org/keywords/infectious-diseases","display_name":"infectious diseases","score":0.7049999833106995},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.6970000267028809},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"stratified sampling","score":0.6299999952316284},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.5669999718666077}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.650600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5860000252723694},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5648999810218811},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.5221999883651733},{"id":"https://openalex.org/C2776356880","wikidata":"https://www.wikidata.org/wiki/Q5381206","display_name":"Environmental data","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.43389999866485596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4268999993801117},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.42179998755455017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.415800005197525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40639999508857727},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.39890000224113464},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C2776480101","wikidata":"https://www.wikidata.org/wiki/Q3555250","display_name":"Disease surveillance","level":3,"score":0.3337000012397766},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3206999897956848},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3018999993801117},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2687999904155731},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2624000012874603},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C539469273","wikidata":"https://www.wikidata.org/wiki/Q1749732","display_name":"Environmental monitoring","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.jmcijournal.com:article/30","doi":null,"is_oa":true,"landing_page_url":"https://jmcijournal.com/index.php/home/article/view/30","pdf_url":null,"source":{"id":"https://openalex.org/S7407079605","display_name":"Journal of Computational Medicine and Informatics","issn_l":"3107-3735","issn":["3107-3735"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3107-3735","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.jmcijournal.com:article/30","doi":null,"is_oa":true,"landing_page_url":"https://jmcijournal.com/index.php/home/article/view/30","pdf_url":null,"source":{"id":"https://openalex.org/S7407079605","display_name":"Journal of Computational Medicine and Informatics","issn_l":"3107-3735","issn":["3107-3735"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3107-3735","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.9763000011444092,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7164901988","https://openalex.org/W7123778527","https://openalex.org/W7127049695","https://openalex.org/W4401708624","https://openalex.org/W7129057944","https://openalex.org/W7217440490","https://openalex.org/W7217690169","https://openalex.org/W7128196973","https://openalex.org/W4416953233","https://openalex.org/W7101430261"],"abstract_inverted_index":{"Efficient":[0],"and":[1,12,27,30,59,66,85,93,101,118,124,137,144,155,181,256],"timely":[2,10],"prediction":[3],"of":[4,54,97,111,152,160,177,194,214,227,254,260,263],"disease":[5,231],"outbreaks":[6,262],"is":[7,52,110,128,189,203,209],"essential":[8],"to":[9,15,41,46,62,105,142,148,156,219,247],"intervention":[11],"effective":[13],"response":[14],"public":[16,244],"health.":[17],"The":[18,69,134,163,222],"old":[19],"surveillance":[20,232],"systems":[21],"are":[22,31,103,122,140,183],"usually":[23],"behind":[24],"in":[25,34,191,212,217],"reporting":[26],"data":[28,61,109],"integration":[29],"less":[32],"efficient":[33],"offering":[35],"early":[36],"warnings.":[37],"This":[38,239],"paper":[39],"seeks":[40],"create":[42],"a":[43,112,229],"predictive":[44,173],"model":[45,127,147,208],"be":[47],"integrated":[48],"with":[49,197,236],"AI":[50,235],"that":[51,167,186,206],"capable":[53],"utilizing":[55],"the":[56,74,108,125,132,146,150,158,161,168,175,187,198,207,225,243,252,258,261],"large-scale":[57],"healthcare":[58],"environmental":[60,87],"enhance":[63],"outbreak":[64,195,216],"detection":[65,193,213],"forecasting":[67],"accuracy.":[68],"suggested":[70],"framework":[71],"will":[72],"incorporate":[73],"heterogeneous":[75],"data,":[76,98],"i.e.,":[77],"clinical":[78],"case":[79],"reports,":[80],"hospital":[81],"records,":[82],"meteorological":[83],"variables,":[84],"other":[86],"indicators,":[88],"i.":[89],"e.,":[90],"temperature,":[91],"humidity,":[92],"air":[94],"quality.":[95,114],"Preprocessing":[96],"feature":[99],"engineering":[100],"normalization":[102],"done":[104],"make":[106,248],"sure":[107],"good":[113],"Several":[115],"machine":[116],"learning":[117,120],"deep":[119],"models":[121],"tested":[123],"best":[126],"obtained":[129],"based":[130],"on":[131],"performance.":[133],"stratified":[135],"sampling":[136],"cross-validation":[138],"methods":[139],"used":[141],"train":[143],"validate":[145],"overcome":[149],"problem":[151],"class":[153],"imbalance":[154],"increase":[157],"generalizability":[159],"model.":[162],"experimental":[164],"findings":[165],"show":[166],"proposed":[169],"method":[170,188],"has":[171],"high":[172],"performance;":[174],"values":[176],"precision,":[178],"recall,":[179],"F1-score,":[180],"ROC-AUC":[182],"high,":[184],"meaning":[185],"reliable":[190],"its":[192],"events":[196],"lowest":[199],"false":[200],"negatives.":[201],"It":[202],"worth":[204],"noting":[205],"more":[210],"sensitive":[211],"early-stage":[215],"comparison":[218],"baseline":[220],"approaches.":[221],"results":[223],"reflect":[224],"possibility":[226],"performing":[228],"powerful":[230],"by":[233],"combining":[234],"multi-source":[237],"data.":[238],"practice":[240],"can":[241],"assist":[242],"health":[245],"authorities":[246],"proactive":[249],"decisions,":[250],"optimizing":[251],"allocation":[253],"resources":[255],"alleviating":[257],"effects":[259],"infectious":[264],"diseases.":[265]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2026-10-05T00:00:00"}
