{"id":"https://openalex.org/W2750762086","doi":"https://doi.org/10.1109/jcsse.2017.8025939","title":"The classification of sets of medical procedures used in the treatment of Diabetes and/or Hypertension","display_name":"The classification of sets of medical procedures used in the treatment of Diabetes and/or Hypertension","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2750762086","doi":"https://doi.org/10.1109/jcsse.2017.8025939","mag":"2750762086"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse.2017.8025939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2017.8025939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002924850","display_name":"Kanokwan Rungreangsuparat","orcid":null},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanokwan Rungreangsuparat","raw_affiliation_strings":["Department of Computer Science, Kasetsart University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kasetsart University, Bangkok, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059549435","display_name":"Sukumal Kitisin","orcid":"https://orcid.org/0000-0002-0657-3227"},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sukumal Kitisin","raw_affiliation_strings":["Department of Computer Science, Kasetsart University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kasetsart University, Bangkok, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053455655","display_name":"Kunwadee Sripanidkulchai","orcid":"https://orcid.org/0000-0001-8109-1351"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kunwadee Sripanidkulchai","raw_affiliation_strings":["Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14020056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9915000200271606,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6708864569664001},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.6264529228210449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.556856632232666},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5211470127105713},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.45546019077301025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43799135088920593},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4235048294067383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2848253846168518},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.11881053447723389},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11247122287750244}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6708864569664001},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.6264529228210449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.556856632232666},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5211470127105713},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.45546019077301025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43799135088920593},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4235048294067383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2848253846168518},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.11881053447723389},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11247122287750244},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse.2017.8025939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2017.8025939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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":0.4699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326788","display_name":"National Electronics and Computer Technology Center","ror":"https://ror.org/04z82ry91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1444168786","https://openalex.org/W1570448133","https://openalex.org/W1664695950","https://openalex.org/W2147595228","https://openalex.org/W2316700091","https://openalex.org/W2409975315","https://openalex.org/W4236110830","https://openalex.org/W4285719527","https://openalex.org/W6628505203","https://openalex.org/W6699742216"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2726838704","https://openalex.org/W4390515809","https://openalex.org/W2348573424","https://openalex.org/W4220802396","https://openalex.org/W2393473353","https://openalex.org/W2373790322","https://openalex.org/W2003316325","https://openalex.org/W2982442175"],"abstract_inverted_index":{"The":[0,34,57,134],"advancement":[1],"of":[2,15,29,40,59,72,82,106,120,142],"technology":[3],"to":[4,10,19,23,45,112,124,146],"support":[5],"data":[6,21,30],"storage":[7,22,31],"is":[8,32,62],"easy":[9],"store":[11],"with":[12],"large":[13],"volumes":[14],"data.":[16],"In":[17,93],"order":[18],"make":[20],"be":[24,88],"used":[25,89],"extensively,":[26],"the":[27,41,47,70,80,83,153],"standard":[28,42],"formed.":[33],"World":[35],"Health":[36],"Organization":[37],"defines":[38],"numbers":[39,105],"medical":[43,53,60,73,121,143],"procedures":[44,54,61,74,122,144],"cover":[46],"all":[48],"treatments":[49],"without":[50],"classifying":[51],"any":[52],"by":[55],"diseases.":[56,115],"selection":[58],"based":[63],"on":[64],"a":[65],"patient's":[66],"symptoms.":[67],"Therefore,":[68],"if":[69],"sets":[71,119,141],"can":[75,87],"identified,":[76],"we":[77],"may":[78],"know":[79],"diseases":[81],"patient":[84],"or":[85],"it":[86],"in":[90],"disease":[91],"surveillance.":[92],"addition,":[94],"diabetes":[95,125],"and":[96,109,130],"hypertension":[97,127],"are":[98],"silent":[99],"killers":[100],"that":[101,137],"have":[102],"been":[103],"threatening":[104],"Thai":[107],"people":[108],"also":[110],"lead":[111],"many":[113],"serious":[114],"This":[116],"research":[117],"identified":[118],"related":[123,145],"and/or":[126,148],"using":[128],"C4.5":[129,138],"Naive":[131,154],"Bayes":[132,155],"algorithms.":[133],"results":[135],"showed":[136],"could":[139],"identify":[140],"Diabetes":[147],"Hypertension":[149],"more":[150],"effectively":[151],"than":[152],"algorithm.":[156]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}