{"id":"https://openalex.org/W4389109103","doi":"https://doi.org/10.1145/3628454.3628460","title":"A Data-Driven Approach to Detect Dehydration in Afghan Children Using Deep Learning","display_name":"A Data-Driven Approach to Detect Dehydration in Afghan Children Using Deep Learning","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389109103","doi":"https://doi.org/10.1145/3628454.3628460"},"language":"en","primary_location":{"id":"doi:10.1145/3628454.3628460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628454.3628460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Advances in Information Technology","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/A5005034659","display_name":"Ziaullah Momand","orcid":"https://orcid.org/0009-0008-4444-1218"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Ziaullah Momand","raw_affiliation_strings":["King Mongkut's University of Technology Thonburi, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-4444-1218","affiliations":[{"raw_affiliation_string":"King Mongkut's University of Technology Thonburi, Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046949056","display_name":"Debajyoti Pal","orcid":"https://orcid.org/0000-0002-7305-1015"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Debajyoti Pal","raw_affiliation_strings":["King Mongkut's University of Technology Thonburi, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-7305-1015","affiliations":[{"raw_affiliation_string":"King Mongkut's University of Technology Thonburi, Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014208333","display_name":"Pornchai Mongkolnam","orcid":"https://orcid.org/0000-0001-6069-1315"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pornchai Mongkolnam","raw_affiliation_strings":["King Mongkut's University of Technology Thonburi, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-6069-1315","affiliations":[{"raw_affiliation_string":"King Mongkut's University of Technology Thonburi, Thailand","institution_ids":["https://openalex.org/I60837268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60837268"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20667742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10596","display_name":"Child Nutrition and Water Access","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10596","display_name":"Child Nutrition and Water Access","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11861","display_name":"Thermal Regulation in Medicine","score":0.9440000057220459,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care 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/T10976","display_name":"Viral gastroenteritis research and epidemiology","score":0.9314000010490417,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6479450464248657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5469652414321899},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5353097915649414},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5142542719841003},{"id":"https://openalex.org/keywords/diarrhea","display_name":"Diarrhea","score":0.4898025691509247},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.47524404525756836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4364531636238098},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4110090732574463},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3921429216861725}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6479450464248657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5469652414321899},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5353097915649414},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5142542719841003},{"id":"https://openalex.org/C2779802037","wikidata":"https://www.wikidata.org/wiki/Q40878","display_name":"Diarrhea","level":2,"score":0.4898025691509247},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.47524404525756836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4364531636238098},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4110090732574463},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3921429216861725},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3628454.3628460","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3628454.3628460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Advances in Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2069321575","https://openalex.org/W2148143831","https://openalex.org/W2995368444","https://openalex.org/W2999117202","https://openalex.org/W3038776601","https://openalex.org/W3108384217","https://openalex.org/W3132543386","https://openalex.org/W3213732001","https://openalex.org/W4214742958","https://openalex.org/W4283454028"],"related_works":["https://openalex.org/W4381951115","https://openalex.org/W2366943731","https://openalex.org/W2376064487","https://openalex.org/W2027595345","https://openalex.org/W1917487929","https://openalex.org/W2992547111","https://openalex.org/W2036251076","https://openalex.org/W3023729094","https://openalex.org/W4380075502","https://openalex.org/W2048917867"],"abstract_inverted_index":{"Child":[0],"dehydration":[1,65,128,226,261],"is":[2,37,43],"a":[3,44,52,98,102,158,189,201],"significant":[4],"health":[5,243],"concern,":[6],"especially":[7],"among":[8],"children":[9,68,107,131,228,276],"under":[10,69,132,175,229],"5":[11,133],"years":[12,71,134],"of":[13,31,54,59,72,105,120,130,135,161,180,205,241,251,260,266],"age,":[14,136],"as":[15,23,153],"they":[16],"are":[17],"more":[18],"susceptible":[19],"to":[20,124,216,232,270],"conditions":[21],"such":[22],"diarrhea":[24,33],"and":[25,92,113,167,223,274],"vomiting.":[26],"In":[27],"Afghanistan,":[28],"the":[29,48,57,110,127,145,149,154,165,176,214,239,248,257,264],"impact":[30],"severe":[32,242],"on":[34,163],"child":[35],"mortality":[36],"exacerbated":[38],"by":[39],"dehydration.":[40],"However,":[41],"there":[42],"notable":[45],"gap":[46],"in":[47,66,221,227,255,263],"research":[49,122],"landscape,":[50],"particularly":[51],"lack":[53],"exploration":[55],"into":[56],"potential":[58,215],"deep":[60,252],"learning":[61,253],"techniques":[62],"for":[63,140],"diagnosing":[64],"Afghan":[67,267],"five":[70],"age.":[73],"To":[74],"address":[75],"this":[76],"gap,":[77],"our":[78,121],"study":[79,246],"leveraged":[80],"three":[81],"powerful":[82],"classifiers:":[83],"Deep":[84],"Learning":[85],"(DL),":[86],"eXtreme":[87],"Gradient":[88],"Boosting":[89],"Classifier":[90],"(XGBoost),":[91],"K-Nearest":[93],"Neighbors":[94],"(KNN).":[95],"We":[96],"developed":[97],"predictive":[99],"model":[100,212],"using":[101],"comprehensive":[103],"dataset":[104],"sick":[106],"obtained":[108],"from":[109],"Afghanistan":[111],"Demographic":[112],"Health":[114],"Survey":[115],"(ADHS).":[116],"The":[117,182,197],"primary":[118],"objective":[119],"was":[123],"accurately":[125,224],"determine":[126],"status":[129],"providing":[137],"crucial":[138],"insights":[139],"healthcare":[141,219,272],"professionals.":[142],"Among":[143],"all":[144,194],"classifiers":[146],"we":[147],"evaluated,":[148],"DL":[150,211],"approach":[151,254],"emerged":[152],"most":[155],"effective,":[156],"achieving":[157],"remarkable":[159,202],"accuracy":[160,192],"99%":[162],"both":[164],"test":[166],"validation":[168],"sets,":[169],"along":[170],"with":[171,188],"an":[172],"impressive":[173],"Area":[174],"Curve":[177],"(AUC)":[178],"score":[179],"0.99.":[181],"KNN":[183],"classifier":[184,199],"also":[185],"performed":[186],"solidly,":[187],"consistent":[190],"90%":[191],"across":[193],"evaluation":[195],"metrics.":[196],"XGBoost":[198],"demonstrated":[200],"precision":[203],"rate":[204],"98%,":[206],"highlighting":[207],"its":[208],"robustness.":[209],"Our":[210],"has":[213],"significantly":[217],"assist":[218],"professionals":[220],"promptly":[222],"identifying":[225],"five,":[230],"leading":[231],"timely":[233],"interventions":[234],"that":[235],"can":[236],"substantially":[237],"reduce":[238],"risk":[240],"complications.":[244],"This":[245],"showcases":[247],"promising":[249],"application":[250],"improving":[256],"early":[258],"diagnosis":[259],"specifically":[262],"context":[265],"children,":[268],"contributing":[269],"enhanced":[271],"outcomes":[273],"saving":[275],"life.":[277]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}