{"id":"https://openalex.org/W2753844935","doi":null,"title":"Support Vector Machine and Deep Learning in Medical Applications","display_name":"Support Vector Machine and Deep Learning in Medical Applications","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2753844935","mag":"2753844935"},"language":"en","primary_location":{"id":"pmh:oai:tampub.uta.fi:10024/101911","doi":null,"is_oa":false,"landing_page_url":"http://tampub.uta.fi/handle/10024/101911","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"fi=Pro gradu -tutkielma | en=Master's thesis|"},"volume":null,"type":"dissertation","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/A5010004502","display_name":"Julius Kallio","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Julius Kallio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5010004502"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.19619999825954437,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.19619999825954437,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T10320","display_name":"Neural Networks and Applications","score":0.17870000004768372,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.16269999742507935,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8880000114440918},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9290000200271606},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9629999995231628},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":1.0},{"id":"https://openalex.org/keywords/medical-applications","display_name":"medical applications","score":0.7749999761581421},{"id":"https://openalex.org/keywords/tensorflow","display_name":"TensorFlow","score":0.621999979019165}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6796658039093018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4885169267654419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46447718143463135},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45251041650772095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4314050078392029},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37649306654930115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3384532928466797}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:tampub.uta.fi:10024/101911","doi":null,"is_oa":false,"landing_page_url":"http://tampub.uta.fi/handle/10024/101911","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"fi=Pro gradu -tutkielma | en=Master's thesis|"},{"id":"pmh:oai:trepo.tuni.fi:10024/101911","doi":null,"is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/101911","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"fi=Pro gradu -tutkielma | en=Master's thesis|"},{"id":"mag:2753844935","doi":null,"is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/101911","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":[{"score":0.46810001134872437,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1483848537","https://openalex.org/W1536110090","https://openalex.org/W1549998098","https://openalex.org/W1566135517","https://openalex.org/W1598796236","https://openalex.org/W1825675169","https://openalex.org/W1991848143","https://openalex.org/W1999156278","https://openalex.org/W2053831280","https://openalex.org/W2064675550","https://openalex.org/W2084220915","https://openalex.org/W2112796928","https://openalex.org/W2155541015","https://openalex.org/W2163352848","https://openalex.org/W2186615578","https://openalex.org/W2400505028","https://openalex.org/W2521068627","https://openalex.org/W2537027648","https://openalex.org/W2919115771","https://openalex.org/W2963921497","https://openalex.org/W2970146457","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2575448796","https://openalex.org/W4226493464","https://openalex.org/W7218301176","https://openalex.org/W2902302341","https://openalex.org/W4206943704","https://openalex.org/W4387973644","https://openalex.org/W4404249822","https://openalex.org/W3191258408","https://openalex.org/W2777186991","https://openalex.org/W2922134958"],"abstract_inverted_index":{"Deep":[0],"learning":[1,8,23,51,91],"is":[2],"a":[3,96],"new":[4],"field":[5],"in":[6,41,53],"machine":[7,22,30],"that":[9,84],"focuses":[10],"mainly":[11],"on":[12,21],"deep":[13,25,50,76,90],"neural":[14,32,58,62,98],"networks.":[15,63],"In":[16],"this":[17,54],"thesis,":[18],"we":[19,36,69,79],"focus":[20],"and":[24,31,34,60,93],"learning,":[26],"present":[27],"support":[28],"vector":[29],"networks,":[33],"then":[35],"study":[37],"some":[38,72,82],"medical":[39,67],"research":[40],"which":[42],"these":[43],"methods":[44,52],"have":[45],"been":[46],"applied.":[47],"The":[48],"main":[49],"thesis":[55],"are":[56],"convolutional":[57],"networks":[59],"recurrent":[61,97],"After":[64],"presenting":[65],"the":[66],"applications":[68,74],"also":[70],"check":[71],"other":[73],"of":[75],"learning.":[77],"Then":[78],"orient":[80],"to":[81,88],"tools":[83],"can":[85],"be":[86,101],"used":[87],"implement":[89],"algorithms":[92],"see":[94],"how":[95],"network":[99],"could":[100],"implemented":[102],"by":[103],"using":[104],"TensorFlow.":[105]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2017-09-15T00:00:00"}