{"id":"https://openalex.org/W2784283649","doi":"https://doi.org/10.1109/icsai.2017.8248369","title":"Prediction of lymphocytosis using machine learning algorithm based on checkup data","display_name":"Prediction of lymphocytosis using machine learning algorithm based on checkup data","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2784283649","doi":"https://doi.org/10.1109/icsai.2017.8248369","mag":"2784283649"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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/A5100613491","display_name":"Liansheng Wang","orcid":"https://orcid.org/0000-0002-2096-454X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liansheng Wang","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101545713","display_name":"Yuanxu Wang","orcid":"https://orcid.org/0000-0003-1953-8081"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxu Wang","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406056","display_name":"Changhua Liu","orcid":"https://orcid.org/0000-0001-5669-5364"},"institutions":[{"id":"https://openalex.org/I4210107987","display_name":"174th hospital of the People's Liberation Army","ror":"https://ror.org/014335v20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210107987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhua Liu","raw_affiliation_strings":["The 174th Hospital of PLA, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"The 174th Hospital of PLA, Xiamen, China","institution_ids":["https://openalex.org/I4210107987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047023776","display_name":"Xiaoliang Fan","orcid":"https://orcid.org/0000-0002-6958-6658"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Fan","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100613491"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.4817,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78167678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"649","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9955999851226807,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9908000230789185,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9872999787330627,"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/lymphocytosis","display_name":"Lymphocytosis","score":0.7782474756240845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020884156227112},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.650473952293396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6240874528884888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6048386693000793},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.49595603346824646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46066513657569885},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4268919825553894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34151172637939453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3326702415943146},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15218931436538696}],"concepts":[{"id":"https://openalex.org/C2780126324","wikidata":"https://www.wikidata.org/wiki/Q612345","display_name":"Lymphocytosis","level":2,"score":0.7782474756240845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020884156227112},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.650473952293396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6240874528884888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6048386693000793},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49595603346824646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46066513657569885},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4268919825553894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34151172637939453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3326702415943146},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15218931436538696},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W814865806","https://openalex.org/W1587157779","https://openalex.org/W2035549557","https://openalex.org/W2043506470","https://openalex.org/W2052028766","https://openalex.org/W2055819094","https://openalex.org/W2149706766","https://openalex.org/W2295888734","https://openalex.org/W2309460698","https://openalex.org/W2404272740","https://openalex.org/W2414784122","https://openalex.org/W4236137412","https://openalex.org/W6713743781","https://openalex.org/W6716012094"],"related_works":["https://openalex.org/W3134840015","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4366979180","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W4384470695"],"abstract_inverted_index":{"As":[0],"more":[1,3],"and":[2,21,58],"patients'":[4],"checkup":[5],"data":[6,14,51],"are":[7,52],"available":[8],"in":[9,104],"the":[10,34,40,43,47,56,59,63,75,80,90,97],"hospital,":[11],"such":[12],"large":[13],"set":[15],"contains":[16],"lots":[17],"of":[18,42],"diagnosis":[19,60],"information":[20,61],"can":[22,72,100],"be":[23,101],"used":[24,53],"to":[25,38,54,65],"predict":[26,73],"specific":[27],"diseases.":[28,107],"In":[29],"this":[30],"paper,":[31],"we":[32],"use":[33],"machine":[35],"learning":[36],"method":[37,99],"train":[39,66],"model":[41,71],"decision":[44],"tree.":[45],"Then":[46],"patient's":[48,81],"physical":[49,82],"examination":[50,83],"extract":[55],"characteristics":[57],"as":[62],"labels":[64],"a":[67],"prediction":[68],"model.":[69],"The":[70,85],"whether":[74],"patient":[76],"has":[77],"lymphocytosis":[78],"from":[79],"information.":[84],"experimental":[86],"results":[87],"show":[88],"that":[89],"accuracy":[91],"rate":[92],"is":[93],"98.2%,":[94],"which":[95],"demonstrates":[96],"proposed":[98],"applied":[102],"well":[103],"predicting":[105],"other":[106]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}