{"id":"https://openalex.org/W2966497472","doi":"https://doi.org/10.1007/978-3-030-26969-2_19","title":"An Effective Approach of Measuring Disease Similarities Based on the DNN Regression Model","display_name":"An Effective Approach of Measuring Disease Similarities Based on the DNN Regression Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2966497472","doi":"https://doi.org/10.1007/978-3-030-26969-2_19","mag":"2966497472"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-26969-2_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-26969-2_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5003344827","display_name":"Shuhui Su","orcid":"https://orcid.org/0009-0004-5995-6362"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuhui Su","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328182","display_name":"Xiaoxiao Zhang","orcid":"https://orcid.org/0000-0003-3762-2287"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao(X.X.) Zhang","raw_affiliation_strings":["Zhejiang University of Science and Technology, Hangzhou, 310023, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Science and Technology, Hangzhou, 310023, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037608200","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-9702-6738"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Zhejiang University of Science and Technology, Hangzhou, 310023, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Science and Technology, Hangzhou, 310023, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731714","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0001-5904-6415"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003344827"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14118941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7950514554977417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6399648189544678},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6138179302215576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.598027229309082},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5739762187004089},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5406640768051147},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5278879404067993},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5059391856193542},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4932822585105896},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4785902500152588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44143009185791016},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4325951635837555},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4274746775627136},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1271969974040985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0893242359161377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950514554977417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6399648189544678},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6138179302215576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.598027229309082},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5739762187004089},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5406640768051147},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5278879404067993},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5059391856193542},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4932822585105896},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4785902500152588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44143009185791016},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4325951635837555},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4274746775627136},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1271969974040985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0893242359161377},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-26969-2_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-26969-2_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1505770165","https://openalex.org/W1647729745","https://openalex.org/W1961827049","https://openalex.org/W1965217168","https://openalex.org/W1976386441","https://openalex.org/W2012361142","https://openalex.org/W2012722530","https://openalex.org/W2014660943","https://openalex.org/W2029420182","https://openalex.org/W2054674225","https://openalex.org/W2075788636","https://openalex.org/W2082889357","https://openalex.org/W2121343862","https://openalex.org/W2124045889","https://openalex.org/W2125118217","https://openalex.org/W2128049108","https://openalex.org/W2130948051","https://openalex.org/W2134798803","https://openalex.org/W2140424919","https://openalex.org/W2143076797","https://openalex.org/W2159092541","https://openalex.org/W2159941448","https://openalex.org/W2170282111","https://openalex.org/W2294926082","https://openalex.org/W2313483714","https://openalex.org/W2405137555","https://openalex.org/W2509406088","https://openalex.org/W2585969625","https://openalex.org/W2625159393","https://openalex.org/W2763650795","https://openalex.org/W2774466664","https://openalex.org/W2776616144","https://openalex.org/W2788534090","https://openalex.org/W2788752194","https://openalex.org/W2792962096","https://openalex.org/W2886653650","https://openalex.org/W2898889089","https://openalex.org/W2901170713","https://openalex.org/W2909420490","https://openalex.org/W2914499113","https://openalex.org/W2916508069","https://openalex.org/W2950225692","https://openalex.org/W6635381172"],"related_works":["https://openalex.org/W2593903992","https://openalex.org/W1976866108","https://openalex.org/W2610868774","https://openalex.org/W2092994918","https://openalex.org/W2390006526","https://openalex.org/W3216594821","https://openalex.org/W1915333409","https://openalex.org/W3215700490","https://openalex.org/W2393341384","https://openalex.org/W4289356671"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
