{"id":"https://openalex.org/W2019241358","doi":"https://doi.org/10.1145/1882992.1882999","title":"Modeling annotation time to reduce workload in comparative effectiveness reviews","display_name":"Modeling annotation time to reduce workload in comparative effectiveness reviews","publication_year":2010,"publication_date":"2010-11-11","ids":{"openalex":"https://openalex.org/W2019241358","doi":"https://doi.org/10.1145/1882992.1882999","mag":"2019241358"},"language":"en","primary_location":{"id":"doi:10.1145/1882992.1882999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882992.1882999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Health Informatics Symposium","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/A5036790226","display_name":"Byron Wallace","orcid":"https://orcid.org/0000-0003-2409-7735"},"institutions":[{"id":"https://openalex.org/I1290900354","display_name":"Tufts Medical Center","ror":"https://ror.org/002hsbm82","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1290900354"]},{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Byron C. Wallace","raw_affiliation_strings":["Tufts Medical Center, Boston, MA & Tufts University, Medford, MA, USA"],"affiliations":[{"raw_affiliation_string":"Tufts Medical Center, Boston, MA & Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I1290900354","https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090984634","display_name":"Kevin Small","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Small","raw_affiliation_strings":["Tufts University, Medford, MA, USA"],"affiliations":[{"raw_affiliation_string":"Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045379675","display_name":"Carla E. Brodley","orcid":"https://orcid.org/0009-0008-2134-6285"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carla E. Brodley","raw_affiliation_strings":["Tufts University, Medford, MA, USA"],"affiliations":[{"raw_affiliation_string":"Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110856495","display_name":"Joseph Lau","orcid":null},"institutions":[{"id":"https://openalex.org/I1290900354","display_name":"Tufts Medical Center","ror":"https://ror.org/002hsbm82","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1290900354"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Lau","raw_affiliation_strings":["Tufts Medical Center, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Tufts Medical Center, Boston, MA, USA","institution_ids":["https://openalex.org/I1290900354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062268434","display_name":"Thomas A Trikalinos","orcid":"https://orcid.org/0000-0002-3990-1848"},"institutions":[{"id":"https://openalex.org/I1290900354","display_name":"Tufts Medical Center","ror":"https://ror.org/002hsbm82","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1290900354"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas A. Trikalinos","raw_affiliation_strings":["Tufts Medical Center, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Tufts Medical Center, Boston, MA, USA","institution_ids":["https://openalex.org/I1290900354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036790226"],"corresponding_institution_ids":["https://openalex.org/I121934306","https://openalex.org/I1290900354"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.83974501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9973000288009644,"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/T11642","display_name":"Genomics and Rare Diseases","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9476000070571899,"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/computer-science","display_name":"Computer science","score":0.83547043800354},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7779441475868225},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.7649250030517578},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6570456027984619},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5581703782081604},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5547997951507568},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.508167028427124},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49458047747612},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49451133608818054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42952144145965576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36458820104599},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1853710114955902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83547043800354},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7779441475868225},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.7649250030517578},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6570456027984619},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5581703782081604},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5547997951507568},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.508167028427124},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49458047747612},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49451133608818054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42952144145965576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36458820104599},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1853710114955902},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1882992.1882999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882992.1882999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Health Informatics Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W129457532","https://openalex.org/W174941419","https://openalex.org/W1514707997","https://openalex.org/W1515450954","https://openalex.org/W1592853229","https://openalex.org/W2027712791","https://openalex.org/W2037771830","https://openalex.org/W2043566294","https://openalex.org/W2045030989","https://openalex.org/W2055617685","https://openalex.org/W2067760738","https://openalex.org/W2102162869","https://openalex.org/W2133853925","https://openalex.org/W2414655435","https://openalex.org/W2421229901","https://openalex.org/W2903158431","https://openalex.org/W4285719527","https://openalex.org/W6675206559"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2358755282"],"abstract_inverted_index":{"Comparative":[0],"effectiveness":[1,9],"reviews":[2,21],"(CERs),":[3],"a":[4,39,64,139,155,189],"central":[5],"methodology":[6],"of":[7,22,33,50,87,133,138,181,226],"comparative":[8],"research,":[10],"are":[11,131,176],"increasingly":[12],"used":[13],"to":[14,38,53,61,102,105,112,123,148,158,213],"inform":[15],"healthcare":[16],"decisions.":[17],"During":[18],"these":[19],"systematic":[20],"the":[23,26,47,55,84,113,124,134,145,170,174,179,199,211,224,227],"scientific":[24],"literature,":[25],"reviewers":[27,82,104],"(MD-methodologists)":[28],"must":[29],"screen":[30,149],"several":[31],"thousands":[32],"citations":[34,107,175,209],"for":[35,80,90,210],"eligibility":[36],"according":[37],"pre-specified":[40],"protocol.":[41],"While":[42],"previous":[43],"research":[44],"has":[45],"demonstrated":[46],"theoretical":[48],"potential":[49],"machine":[51,77],"learning":[52,78],"reduce":[54],"workload":[56],"in":[57,172,204],"CERs,":[58],"practical":[59],"obstacles":[60],"deploying":[62],"such":[63,127],"system":[65,79],"remain.":[66],"In":[67,100],"this":[68,164,219],"article,":[69],"we":[70,93,153,166],"describe":[71],"work":[72],"on":[73],"an":[74,160,206],"end-to-end,":[75],"interactive":[76],"assisting":[81],"with":[83],"tedious":[85],"task":[86],"citation":[88,183,229],"screening":[89,230],"CERs.":[91],"Specifically,":[92],"present":[94],"ABSTRACKR,":[95],"our":[96],"open-source":[97],"annotation":[98,185],"tool.":[99],"addition":[101],"allowing":[103],"designate":[106],"as":[108,128],"'relevant'":[109],"or":[110],"'irrelevant'":[111],"review":[114],"at":[115],"hand,":[116],"ABSTRACKR":[117],"facilitates":[118],"communicating":[119],"other":[120],"information":[121,221],"useful":[122],"classification":[125],"model,":[126,165],"terms":[129,194],"that":[130,168,191,218],"suggestive":[132],"relevance":[135],"(or":[136],"irrelevance)":[137],"citation.":[140],"The":[141],"tool":[142],"also":[143],"records":[144],"time":[146],"taken":[147],"citations,":[150],"over":[151],"which":[152,173,205],"conducted":[154],"time-series":[156],"analysis":[157],"derive":[159],"annotator":[161],"model.":[162],"Using":[163],"found":[167],"both":[169],"order":[171],"screened":[177],"and":[178,195],"length":[180],"each":[182],"affect":[184],"time.":[186],"We":[187,215],"propose":[188],"strategy":[190],"integrates":[192],"labeled":[193],"timing":[196],"data":[197],"into":[198],"Active":[200],"Learning":[201],"(AL)":[202],"framework,":[203],"algorithm":[207],"selects":[208],"reviewer":[212],"label.":[214],"demonstrate":[216],"empirically":[217],"additional":[220],"can":[222],"improve":[223],"performance":[225],"semi-automated":[228],"system.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}