{"id":"https://openalex.org/W2053235835","doi":"https://doi.org/10.1145/2649387.2649412","title":"Data mining to aid beam angle selection for intensity-modulated radiation therapy","display_name":"Data mining to aid beam angle selection for intensity-modulated radiation therapy","publication_year":2014,"publication_date":"2014-09-20","ids":{"openalex":"https://openalex.org/W2053235835","doi":"https://doi.org/10.1145/2649387.2649412","mag":"2053235835"},"language":"en","primary_location":{"id":"doi:10.1145/2649387.2649412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2649387.2649412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics","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/A5011944985","display_name":"Stuart Price","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stuart Price","raw_affiliation_strings":["University of Maryland, Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022968381","display_name":"Bruce Golden","orcid":"https://orcid.org/0000-0002-5270-6094"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Golden","raw_affiliation_strings":["University of Maryland, Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055579936","display_name":"Edward Wasil","orcid":"https://orcid.org/0000-0002-8397-4809"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward Wasil","raw_affiliation_strings":["American University, Washington, DC","American University, Washington DC;"],"affiliations":[{"raw_affiliation_string":"American University, Washington, DC","institution_ids":["https://openalex.org/I181401687"]},{"raw_affiliation_string":"American University, Washington DC;","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080955712","display_name":"Hao Helen Zhang","orcid":"https://orcid.org/0000-0001-8873-3329"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao H. Zhang","raw_affiliation_strings":["University of Maryland, Baltimore, Maryland","University of Maryland , Baltimore, Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore, Maryland","institution_ids":["https://openalex.org/I126744593"]},{"raw_affiliation_string":"University of Maryland , Baltimore, Maryland","institution_ids":["https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011944985"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.7857,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7488783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"351","last_page":"359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.944100022315979,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9283999800682068,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538788080215454},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5146940350532532},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5087640881538391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5081069469451904},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5004231929779053},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47447067499160767},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47367483377456665},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4729677736759186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44826871156692505},{"id":"https://openalex.org/keywords/beam","display_name":"Beam (structure)","score":0.44743695855140686},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43884554505348206},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42301663756370544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4178900718688965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3975610136985779},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2015719711780548},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16293635964393616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15114116668701172},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12746760249137878},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09203284978866577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538788080215454},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5146940350532532},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5087640881538391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5081069469451904},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5004231929779053},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47447067499160767},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47367483377456665},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4729677736759186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44826871156692505},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.44743695855140686},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43884554505348206},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42301663756370544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4178900718688965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3975610136985779},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2015719711780548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16293635964393616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15114116668701172},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12746760249137878},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09203284978866577},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2649387.2649412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2649387.2649412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics","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":45,"referenced_works":["https://openalex.org/W1561408891","https://openalex.org/W1672197616","https://openalex.org/W1965325125","https://openalex.org/W1971575590","https://openalex.org/W1977881845","https://openalex.org/W1979184234","https://openalex.org/W1981997434","https://openalex.org/W1983269265","https://openalex.org/W1986933969","https://openalex.org/W1996065070","https://openalex.org/W2000631958","https://openalex.org/W2002011878","https://openalex.org/W2002571443","https://openalex.org/W2004233638","https://openalex.org/W2007510360","https://openalex.org/W2011588898","https://openalex.org/W2014039164","https://openalex.org/W2014077750","https://openalex.org/W2016185232","https://openalex.org/W2016190442","https://openalex.org/W2020677509","https://openalex.org/W2027948342","https://openalex.org/W2029592941","https://openalex.org/W2036282507","https://openalex.org/W2045861525","https://openalex.org/W2048404907","https://openalex.org/W2057309390","https://openalex.org/W2062379060","https://openalex.org/W2064299704","https://openalex.org/W2070979808","https://openalex.org/W2072276987","https://openalex.org/W2072629485","https://openalex.org/W2082129374","https://openalex.org/W2101844464","https://openalex.org/W2106018384","https://openalex.org/W2116871808","https://openalex.org/W2133990480","https://openalex.org/W2138599283","https://openalex.org/W2147169507","https://openalex.org/W2150183689","https://openalex.org/W2155709228","https://openalex.org/W2167220391","https://openalex.org/W2582743722","https://openalex.org/W2592052288","https://openalex.org/W6678851513"],"related_works":["https://openalex.org/W2739612537","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W4313041667","https://openalex.org/W2767599893","https://openalex.org/W2381572297","https://openalex.org/W4388070314","https://openalex.org/W2106741186","https://openalex.org/W2368890809","https://openalex.org/W1922771929"],"abstract_inverted_index":{"Research":[0],"on":[1,14,97],"the":[2,38,44,49,52,130,150,158,163,167,172,183],"beam":[3,39,114],"angle":[4,23,40,57,115],"optimization":[5,16],"problem":[6],"for":[7,25,69],"intensity-modulated":[8],"radiation":[9],"therapy":[10],"(IMRT)":[11],"has":[12],"focused":[13],"developing":[15],"approaches":[17],"to":[18,36,79,92,107,155,175,181],"obtain":[19],"a":[20,33,61,109,118,127],"single":[21],"high-quality":[22,56],"set":[24,128],"each":[26],"patient.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31,103,165,178],"propose":[32],"population-based":[34],"method":[35],"aid":[37],"selection":[41],"process":[42,53],"with":[43,72],"goal":[45],"of":[46,51,63,111,120,129,142,149,157,162],"significantly":[47],"improving":[48],"efficiency":[50],"while":[54],"identifying":[55],"sets.":[58],"We":[59],"use":[60],"database":[62],"approximately":[64],"2,700":[65],"IMRT":[66],"treatment":[67,94],"plans":[68,95,116,140,153,173,185],"10":[70],"patients":[71],"locally":[73],"advanced":[74],"head":[75],"and":[76,89,123],"neck":[77],"cancer":[78],"train":[80,104],"three":[81,139,152],"data":[82],"mining":[83],"techniques":[84],"(linear":[85],"regression,":[86],"neural":[87],"networks,":[88],"k-nearest":[90],"neighbor)":[91],"rank":[93,108],"based":[96],"potential":[98],"quality.":[99],"Using":[100],"5-fold":[101],"cross-validation,":[102],"our":[105],"models":[106,135],"list":[110],"54":[112],"new":[113],"(for":[117],"total":[119],"50":[121],"lists)":[122],"then":[124],"fully":[125],"evaluate":[126],"most":[131],"promising":[132],"plans.":[133],"Our":[134],"can,":[136],"choosing":[137],"only":[138],"out":[141],"54,":[143],"correctly":[144],"identify":[145],"at":[146],"least":[147],"one":[148],"top":[151,168],"up":[154],"76%":[156],"time.":[159],"Furthermore,":[160],"34%":[161],"time":[164],"find":[166,182],"plan.":[169],"By":[170],"sorting":[171],"prior":[174],"full":[176],"evaluation,":[177],"are":[179],"able":[180],"better":[184],"faster.":[186]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
