{"id":"https://openalex.org/W4415378105","doi":"https://doi.org/10.1109/prime66228.2025.11203694","title":"A Power-Efficient Analog Integrated Decision Tree Classifier for Dementia Prediction","display_name":"A Power-Efficient Analog Integrated Decision Tree Classifier for Dementia Prediction","publication_year":2025,"publication_date":"2025-09-21","ids":{"openalex":"https://openalex.org/W4415378105","doi":"https://doi.org/10.1109/prime66228.2025.11203694"},"language":null,"primary_location":{"id":"doi:10.1109/prime66228.2025.11203694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prime66228.2025.11203694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 20th International Conference on PhD Research in Microelectronics and Electronics (PRIME)","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/A5119040011","display_name":"Anna Mylona","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anna Mylona","raw_affiliation_strings":["National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024524906","display_name":"Vassilis Alimisis","orcid":"https://orcid.org/0000-0002-2090-1493"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassilis Alimisis","raw_affiliation_strings":["National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106330376","display_name":"Konstantinos Cheliotis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Cheliotis","raw_affiliation_strings":["National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040477973","display_name":"Vasileios Moustakas","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasileios Moustakas","raw_affiliation_strings":["National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013213336","display_name":"Paul P. Sotiriadis","orcid":"https://orcid.org/0000-0001-6030-4645"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paul P. Sotiriadis","raw_affiliation_strings":["National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,Department of Electrical and Computer Engineering,Athens,Greece,15780","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29460738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8271999955177307,"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":0.8271999955177307,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7153000235557556},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6934999823570251},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.6485000252723694},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4779999852180481},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.4336000084877014},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.4320000112056732}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7153000235557556},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6934999823570251},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.6485000252723694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.631600022315979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59579998254776},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4779999852180481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4410000145435333},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.4336000084877014},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3903999924659729},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28600001335144043},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/prime66228.2025.11203694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prime66228.2025.11203694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 20th International Conference on PhD Research in Microelectronics and Electronics (PRIME)","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":22,"referenced_works":["https://openalex.org/W1505191356","https://openalex.org/W2003522442","https://openalex.org/W2120461003","https://openalex.org/W2122210511","https://openalex.org/W2474840293","https://openalex.org/W2522425045","https://openalex.org/W2534814983","https://openalex.org/W2896122000","https://openalex.org/W2910166072","https://openalex.org/W2920878483","https://openalex.org/W2955374087","https://openalex.org/W3012277039","https://openalex.org/W4205237380","https://openalex.org/W4205409270","https://openalex.org/W4229484049","https://openalex.org/W4247922705","https://openalex.org/W4284705734","https://openalex.org/W4367320920","https://openalex.org/W4384067832","https://openalex.org/W4400229734","https://openalex.org/W4401284396","https://openalex.org/W4402039234"],"related_works":[],"abstract_inverted_index":{"An":[0],"analog":[1,24,30],"integrated":[2],"decision":[3],"tree":[4],"classifier":[5,66],"designed":[6],"for":[7],"real-time":[8],"dementia":[9,97],"prediction":[10,95],"with":[11],"low":[12,39],"power":[13,40],"consumption":[14,41],"is":[15,57],"presented":[16],"in":[17,107],"this":[18,100],"work.":[19],"The":[20,65],"design":[21],"uses":[22],"sub-threshold":[23],"circuitry,":[25],"including":[26],"a":[27,47,86],"squarer":[28],"circuit,":[29],"multiplier,":[31],"and":[32,46,73],"current":[33],"comparator,":[34],"to":[35],"achieve":[36],"an":[37,77],"exceptionally":[38],"of":[42,50,80,89,96],"$729":[43],"n":[44],"W$":[45],"classification":[48,106],"speed":[49],"$570":[51],"K$":[52],"inferences":[53],"per":[54],"second.":[55],"It":[56],"developed":[58],"using":[59],"the":[60,94],"TSMC":[61],"65nm":[62],"CMOS":[63],"process.":[64],"consistently":[67],"performed":[68],"well":[69],"despite":[70],"process,":[71],"voltage,":[72],"temperature":[74],"fluctuations,":[75],"achieving":[76],"average":[78],"accuracy":[79],"$90.63":[81],"\\%$":[82],"when":[83],"tested":[84],"on":[85],"dataset":[87],"representative":[88],"machine":[90],"operating":[91],"conditions.":[92],"Through":[93],"neurological":[98],"disorder,":[99],"method":[101],"offers":[102],"effective,":[103],"real-time,":[104],"edge-based":[105],"biomedical":[108],"settings.":[109]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-21T00:00:00"}