{"id":"https://openalex.org/W2908155377","doi":"https://doi.org/10.1109/uemcon.2018.8796551","title":"Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods","display_name":"Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2908155377","doi":"https://doi.org/10.1109/uemcon.2018.8796551","mag":"2908155377"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2018.8796551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2018.8796551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},"type":"preprint","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/A5056324977","display_name":"Neil Deshmukh","orcid":null},"institutions":[{"id":"https://openalex.org/I205139184","display_name":"Moravian University","ror":"https://ror.org/048gkf592","country_code":"US","type":"education","lineage":["https://openalex.org/I205139184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Neil Deshmukh","raw_affiliation_strings":["Moravian Academy, Macungie, USA"],"affiliations":[{"raw_affiliation_string":"Moravian Academy, Macungie, USA","institution_ids":["https://openalex.org/I205139184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056324977"],"corresponding_institution_ids":["https://openalex.org/I205139184"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22255337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"695","last_page":"699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8066146969795227},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.7250196933746338},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7075302600860596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6174576282501221},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5642382502555847},{"id":"https://openalex.org/keywords/raspberry-pi","display_name":"Raspberry pi","score":0.5539747476577759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5502411127090454},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5190185308456421},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46024057269096375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4439045786857605},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3268534541130066},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.18396669626235962},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09300029277801514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8066146969795227},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7250196933746338},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7075302600860596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6174576282501221},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5642382502555847},{"id":"https://openalex.org/C2985745059","wikidata":"https://www.wikidata.org/wiki/Q245","display_name":"Raspberry pi","level":3,"score":0.5539747476577759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5502411127090454},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5190185308456421},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46024057269096375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4439045786857605},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3268534541130066},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.18396669626235962},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09300029277801514},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon.2018.8796551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2018.8796551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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":9,"referenced_works":["https://openalex.org/W124360792","https://openalex.org/W1838071484","https://openalex.org/W2041073071","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2581082771","https://openalex.org/W2964350391","https://openalex.org/W3022274619"],"related_works":["https://openalex.org/W4313320040","https://openalex.org/W4289357384","https://openalex.org/W2753725918","https://openalex.org/W2564449327","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"This":[0,251],"paper":[1],"introduces":[2],"a":[3,33,59,86,116,137,243],"novel":[4],"low-cost":[5,256],"device":[6,88,123,154,252],"prototype":[7],"for":[8,95,139,174,206,213,246],"the":[9,26,51,63,122,147,150,153,160,249],"automatic":[10],"diagnosis":[11,78,97,169],"of":[12,28,65,100,179,203,236],"diseases,":[13],"utilizing":[14,104],"inputted":[15,166],"symptoms":[16,148],"and":[17,48,98,109,133,135,155,170,210,231,234,262],"personal":[18],"background.":[19],"The":[20,143,163,177,217],"engineering":[21],"goal":[22],"is":[23,39,70,124,198],"to":[24,44,72,93,126,129,183,186,241,259],"solve":[25],"problem":[27],"limited":[29],"healthcare":[30],"access":[31,258],"with":[32,80,193],"single":[34],"device.":[35],"Diagnosing":[36],"diseases":[37,132,188],"automatically":[38],"an":[40,190,201],"immense":[41],"challenge,":[42],"owing":[43],"their":[45],"variable":[46],"properties":[47],"symptoms.":[49],"On":[50],"other":[52,224],"hand,":[53],"Neural":[54,106,111],"Networks":[55,107,112],"have":[56],"developed":[57],"into":[58],"powerful":[60],"tool":[61,245],"in":[62],"field":[64],"machine":[66],"learning,":[67],"one":[68],"that":[69],"showing":[71],"be":[73,184,242],"extremely":[74],"promising":[75],"at":[76],"computing":[77],"even":[79],"inconsistent":[81],"variables.":[82],"In":[83],"this":[84,180],"research,":[85],"cheap":[87],"(under":[89],"$30)":[90],"was":[91,182],"created":[92],"allow":[94],"straightforward":[96],"treatment":[99,172,263],"human":[101],"diseases.":[102,216],"By":[103],"Deep":[105],"(DNNs)":[108],"Convolutional":[110],"(CNNs),":[113],"outfitted":[114],"on":[115,152],"Raspberry":[117],"Pi":[118],"Zero":[119],"processor":[120,192],"($5),":[121],"able":[125,185],"detect":[127],"up":[128],"1537":[130],"different":[131],"conditions":[134],"utilize":[136],"CNN":[138],"on-device":[140],"visual":[141,214],"diagnostics.":[142],"user":[144],"can":[145,156],"input":[146],"using":[149,159],"buttons":[151],"take":[157],"pictures":[158],"same":[161],"mechanism.":[162],"algorithm":[164],"processes":[165],"symptoms,":[167],"providing":[168],"possible":[171],"options":[173],"common":[175],"conditions.":[176],"purpose":[178],"work":[181],"diagnose":[187],"through":[189],"affordable":[191],"high":[194],"accuracy,":[195],"as":[196],"it":[197,240],"currently":[199],"achieving":[200],"accuracy":[202],"90%":[204],"(\u00b10.8%)":[205],"Top-5":[207],"symptom-based":[208],"diagnoses,":[209],"91%":[211],"(\u00b10.2%)":[212],"skin":[215],"NNs":[218],"achieve":[219],"performance":[220],"far":[221],"above":[222],"any":[223],"tested":[225],"system":[226],"(WebMD,":[227],"MEDoctor,":[228],"so":[229],"forth.),":[230],"its":[232],"efficiency":[233],"ease":[235],"use":[237],"will":[238],"prove":[239],"helpful":[244],"people":[247],"around":[248],"world.":[250],"could":[253],"potentially":[254],"provide":[255],"universal":[257],"vital":[260],"diagnostics":[261],"options.":[264]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}