{"id":"https://openalex.org/W3162952990","doi":"https://doi.org/10.1109/kst51265.2021.9415842","title":"Dual-step Nearest Neighborhood Prediction Method of Individual Childhood Growth","display_name":"Dual-step Nearest Neighborhood Prediction Method of Individual Childhood Growth","publication_year":2021,"publication_date":"2021-01-21","ids":{"openalex":"https://openalex.org/W3162952990","doi":"https://doi.org/10.1109/kst51265.2021.9415842","mag":"3162952990"},"language":"en","primary_location":{"id":"doi:10.1109/kst51265.2021.9415842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst51265.2021.9415842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Smart Technology (KST)","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/A5030591302","display_name":"Nida Chatwattanasiri","orcid":"https://orcid.org/0000-0002-6318-9133"},"institutions":[{"id":"https://openalex.org/I14316845","display_name":"National Electronics and Computer Technology Center","ror":"https://ror.org/04z82ry91","country_code":"TH","type":"government","lineage":["https://openalex.org/I1332092204","https://openalex.org/I14316845"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Nida Chatwattanasiri","raw_affiliation_strings":["National Electronics and Computer Technology Center (NECTEC), Pathum Thani, Thailand"],"affiliations":[{"raw_affiliation_string":"National Electronics and Computer Technology Center (NECTEC), Pathum Thani, Thailand","institution_ids":["https://openalex.org/I14316845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089318941","display_name":"Napa Sae-Bae","orcid":"https://orcid.org/0000-0002-3354-8596"},"institutions":[{"id":"https://openalex.org/I4210106845","display_name":"Rajamangala University of Technology Suvarnabhumi","ror":"https://ror.org/01j1np431","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210106845"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Napa Sae-bae","raw_affiliation_strings":["Rajamangala University of Technology Suvarnabhumi(RMUTSB), Nontaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"Rajamangala University of Technology Suvarnabhumi(RMUTSB), Nontaburi, Thailand","institution_ids":["https://openalex.org/I4210106845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073555305","display_name":"Supiya Charoensiriwath","orcid":null},"institutions":[{"id":"https://openalex.org/I14316845","display_name":"National Electronics and Computer Technology Center","ror":"https://ror.org/04z82ry91","country_code":"TH","type":"government","lineage":["https://openalex.org/I1332092204","https://openalex.org/I14316845"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supiya Charoensiriwath","raw_affiliation_strings":["National Electronics and Computer Technology Center (NECTEC), Pathum Thani, Thailand"],"affiliations":[{"raw_affiliation_string":"National Electronics and Computer Technology Center (NECTEC), Pathum Thani, Thailand","institution_ids":["https://openalex.org/I14316845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030591302"],"corresponding_institution_ids":["https://openalex.org/I14316845"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07317315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14374","display_name":"Statistical Methods in Epidemiology","score":0.9175999760627747,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14374","display_name":"Statistical Methods in Epidemiology","score":0.9175999760627747,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.7042292356491089},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6198758482933044},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5366849899291992},{"id":"https://openalex.org/keywords/two-step","display_name":"Two step","score":0.5345436930656433},{"id":"https://openalex.org/keywords/growth-curve","display_name":"Growth curve (statistics)","score":0.4659633934497833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45779070258140564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4240916967391968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.379995197057724},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.0672697126865387}],"concepts":[{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.7042292356491089},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6198758482933044},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5366849899291992},{"id":"https://openalex.org/C3019136120","wikidata":"https://www.wikidata.org/wiki/Q2462428","display_name":"Two step","level":2,"score":0.5345436930656433},{"id":"https://openalex.org/C2776913854","wikidata":"https://www.wikidata.org/wiki/Q25345887","display_name":"Growth curve (statistics)","level":2,"score":0.4659633934497833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45779070258140564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4240916967391968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.379995197057724},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0672697126865387},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst51265.2021.9415842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst51265.2021.9415842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W365962247","https://openalex.org/W1497488301","https://openalex.org/W2023731178","https://openalex.org/W2075786765","https://openalex.org/W2096904991","https://openalex.org/W2104433553","https://openalex.org/W2104507276","https://openalex.org/W2136893929","https://openalex.org/W2149249032","https://openalex.org/W2793746300","https://openalex.org/W2943133918"],"related_works":["https://openalex.org/W1550559433","https://openalex.org/W2189235034","https://openalex.org/W2319948171","https://openalex.org/W2044237804","https://openalex.org/W4233457764","https://openalex.org/W2117734186","https://openalex.org/W2590689037","https://openalex.org/W2106165565","https://openalex.org/W2988557299","https://openalex.org/W2219540168"],"abstract_inverted_index":{"New":[0],"dual-step":[1,110],"child":[2,17,47,57,116],"growth":[3,18,29,48,58,69,75,117,144],"prediction":[4,111],"model":[5],"is":[6,63,92],"developed":[7],"based":[8],"on":[9,25,27],"regular":[10],"longitudinal":[11],"measurements":[12],"to":[13,52,65,70,100],"evaluate":[14],"the":[15,21,35,43,55,67,73,83,93,97,102,109,129],"expected":[16],"development":[19],"and":[20,46],"growing":[22],"patterns.":[23],"Based":[24],"percentiles":[26],"reference":[28,44,130],"charts":[30],"used":[31],"by":[32,77],"pediatricians":[33],"as":[34],"first":[36],"step,":[37],"a":[38],"measure":[39],"of":[40],"distances":[41],"between":[42],"curves":[45,99],"data":[49],"are":[50],"utilized":[51],"tentatively":[53],"estimate":[54,113],"future":[56,68,114,143],"expectation.":[59],"The":[60,105],"second-step":[61],"method":[62],"implemented":[64],"predict":[66],"follow":[71],"up":[72],"normal":[74],"trends":[76],"using":[78],"neighborhood-based":[79,89],"children":[80],"dataset":[81],"in":[82],"same":[84],"age":[85],"group.":[86],"Scoring":[87],"nearest":[88],"curve":[90],"matching":[91,96],"technique":[94],"for":[95],"nearby":[98],"represent":[101],"predicted":[103],"values.":[104],"results":[106,127],"demonstrated":[107],"that":[108],"methods":[112],"individual":[115],"accurately":[118],"with":[119,133],"average":[120,134],"errors":[121,135],"less":[122,136],"than":[123,137],"1.2":[124],"cm.":[125,139],"Comparison":[126],"from":[128,141],"line":[131],"showed":[132],"1.5":[138],"obtained":[140],"12-month":[142],"forecasting.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
