{"id":"https://openalex.org/W2185496173","doi":null,"title":"Assessment of AP, STEMI, NSTEMI and therapy Prescription based on vascular age- A Decision tree approach","display_name":"Assessment of AP, STEMI, NSTEMI and therapy Prescription based on vascular age- A Decision tree approach","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2185496173","mag":"2185496173"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.429.3317","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.429.3317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijergs.org/files/documents/Assessment-of-AP-STEMI5.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5004213705","display_name":"C. Premalatha","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Premalatha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029630220","display_name":"B. Suganyadevi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Suganyadevi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4258,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70030617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9994999766349792,"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":0.9994999766349792,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0003000000142492354,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/acute-coronary-syndrome","display_name":"acute coronary syndrome","score":0.9879999756813049},{"id":"https://openalex.org/keywords/angina","display_name":"angina pectoris","score":0.9670000076293945},{"id":"https://openalex.org/keywords/st-elevation-myocardial-infarction","display_name":"ST-elevation myocardial infarction","score":0.9760000109672546},{"id":"https://openalex.org/keywords/non-st-elevation-myocardial-infarction","display_name":"non-ST-elevation myocardial infarction","score":0.9900000095367432},{"id":"https://openalex.org/keywords/vascular-age","display_name":"vascular age","score":0.7689999938011169},{"id":"https://openalex.org/keywords/risk-factor-classification","display_name":"risk factor classification","score":0.8389999866485596},{"id":"https://openalex.org/keywords/c4-5-decision-tree","display_name":"C4.5 decision tree","score":0.8920000195503235},{"id":"https://openalex.org/keywords/c5-0-decision-tree","display_name":"C5.0 decision tree","score":0.9990000128746033},{"id":"https://openalex.org/keywords/information-gain","display_name":"information gain","score":0.9369999766349792},{"id":"https://openalex.org/keywords/gain-ratio","display_name":"gain ratio","score":0.9919999837875366},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8090000152587891},{"id":"https://openalex.org/keywords/rule-based-classification","display_name":"rule-based classification","score":0.7689999938011169}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.66532963514328},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6613577604293823},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.5898273587226868},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5413804054260254},{"id":"https://openalex.org/C2778425758","wikidata":"https://www.wikidata.org/wiki/Q180762","display_name":"Angina","level":3,"score":0.5129866003990173},{"id":"https://openalex.org/C2777698277","wikidata":"https://www.wikidata.org/wiki/Q266018","display_name":"Acute coronary syndrome","level":3,"score":0.4931609034538269},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.46620380878448486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4402998089790344},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.436749666929245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41714465618133545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4046884775161743},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.35995760560035706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3285422921180725}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.429.3317","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.429.3317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijergs.org/files/documents/Assessment-of-AP-STEMI5.pdf","raw_type":"text"},{"id":"mag:2185496173","doi":null,"is_oa":false,"landing_page_url":"https://oaji.net/articles/2014/786-1399157717.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9940000176429749,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W652328558","https://openalex.org/W1584935767","https://openalex.org/W1594031697","https://openalex.org/W2040946919","https://openalex.org/W2085306757","https://openalex.org/W2108634795","https://openalex.org/W2113780981","https://openalex.org/W2115989188","https://openalex.org/W2128420091","https://openalex.org/W2140190241","https://openalex.org/W2143913545","https://openalex.org/W2146424733","https://openalex.org/W2156416997","https://openalex.org/W2166735184","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W4404579356","https://openalex.org/W4300019547","https://openalex.org/W1997669570","https://openalex.org/W3022349436","https://openalex.org/W2992246981","https://openalex.org/W2018916823","https://openalex.org/W4414081408","https://openalex.org/W3115843342","https://openalex.org/W4399320795","https://openalex.org/W3210297586"],"abstract_inverted_index":{"ABSTRACT-":[0],"AP,":[1],"STEMI":[2],"and":[3,19,39,52,72,92,119,147,155,167,202,223],"NSTEMI":[4],"are":[5,60,66],"the":[6,17,21,42,85,110,145,172,185,190,195,206],"main":[7],"categories":[8],"of":[9,27,41,81,99,164,212],"acute":[10],"coronary":[11],"syndrome":[12],"which":[13,44,193],"causes":[14],"damage":[15],"to":[16,24,62,68,171,204],"coronaries":[18],"make":[20],"patients":[22,196],"prone":[23],"high":[25,161],"risk":[26,82,101,200,228],"death.":[28],"Several":[29],"studies":[30],"with":[31,208],"different":[32,106],"technologies":[33],"have":[34,140],"been":[35,141],"made":[36],"in":[37,197],"diagnosis":[38],"treatment":[40],"events,":[43],"includes":[45,113,129],"association":[46],"rules,":[47],"logistic":[48],"regression,":[49],"fuzzy":[50],"modeling,":[51],"neural":[53],"network,":[54],"CART,":[55],"ID3.":[56],"The":[57,87,151],"existing":[58,174],"techniques":[59],"confined":[61],"small":[63],"datasets":[64],"that":[65,112,128],"specific":[67],"one":[69],"particular":[70],"disease":[71],"this":[73],"knowledge":[74],"mined":[75],"is":[76,149],"not":[77],"indispensible":[78],"for":[79,84,97,109,143,184],"classification":[80,162,178],"factors":[83,102],"events.":[86],"implemented":[88,152],"methodology":[89],"uses":[90],"C4.5":[91,154,222],"C5.0":[93,156,224],"decision":[94,107,157,225],"tree":[95,158,226],"algorithm":[96,159],"identification":[98],"related":[100],"by":[103],"constructing":[104],"two":[105],"trees":[108],"events":[111,186],"Angina":[114],"Pectoris,":[115],"St-elevation":[116],"Myocardial":[117,121],"Infarction":[118,122],"Non-St-Elevation":[120],"based":[123,177,188,231],"on":[124,189],"attribute":[125],"selection":[126,183,216],"measure":[127],"Information":[130,218],"Gain,":[131],"Gain":[132,220],"Ratio.":[133],"Using":[134],"performance":[135],"measures,":[136,217],"correctly":[137],"classified":[138],"values":[139],"found":[142],"both":[144],"algorithms":[146],"accuracy":[148,163],"calculated.":[150],"methodologies,":[153],"gives":[160],"86":[165],"%":[166,169],"89.3":[168],"compared":[170],"aforementioned":[173],"techniques.":[175],"Rule":[176,230],"technique":[179],"provides":[180],"a":[181],"therapy":[182,210],"diagnosed,":[187],"vascular":[191],"age,":[192],"aids":[194],"reducing":[198],"their":[199],"levels":[201],"doctors":[203],"treat":[205],"patient":[207],"required":[209],"instead":[211],"angioplasty.":[213],"Keywords\u2014Classification,":[214],"Attribute":[215],"gain,":[219],"ratio,":[221],"algorithm,":[227],"factors,":[229],"classification.":[232]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}