{"id":"https://openalex.org/W85349846","doi":null,"title":"Integrative Statistical Learning with Applications to Predicting Features of Diseases and Health","display_name":"Integrative Statistical Learning with Applications to Predicting Features of Diseases and Health","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W85349846","mag":"85349846"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.421.1435","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.1435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.eecs.umich.edu/~hero/Preprints/YS_Dissertation.pdf","raw_type":"text"},"volume":null,"type":"preprint","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/A5026993384","display_name":"Yongsheng Huang","orcid":"https://orcid.org/0000-0002-6114-7730","observed_orcids":["https://orcid.org/0000-0002-6114-7730"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yongsheng Huang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6114-7730","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026993384"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10136","display_name":"Statistical Methods and Inference","score":0.8125,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.8125,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.0625,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.04580000042915344,"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/statistical-learning","display_name":"statistical learning","score":0.8790000081062317},{"id":"https://openalex.org/keywords/disease-prediction","display_name":"disease prediction","score":0.7990000247955322},{"id":"https://openalex.org/keywords/health-prediction","display_name":"health prediction","score":0.8389999866485596},{"id":"https://openalex.org/keywords/integrative-analysis","display_name":"integrative analysis","score":0.5440000295639038},{"id":"https://openalex.org/keywords/biomedical-data","display_name":"biomedical data","score":0.4440000057220459}],"concepts":[{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.570101797580719},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45487791299819946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40734076499938965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40696945786476135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3824211657047272},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3475760221481323}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.421.1435","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.1435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.eecs.umich.edu/~hero/Preprints/YS_Dissertation.pdf","raw_type":"text"},{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/84435","doi":null,"is_oa":false,"landing_page_url":"http://deepblue.lib.umich.edu/bitstream/2027.42/84435/1/huangys_1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:85349846","doi":null,"is_oa":false,"landing_page_url":"https://deepblue.lib.umich.edu/handle/2027.42/84435","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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":142,"referenced_works":["https://openalex.org/W85928153","https://openalex.org/W138990109","https://openalex.org/W326875871","https://openalex.org/W1480376833","https://openalex.org/W1488916115","https://openalex.org/W1520168181","https://openalex.org/W1528905581","https://openalex.org/W1531809785","https://openalex.org/W1576303512","https://openalex.org/W1578104218","https://openalex.org/W1592870802","https://openalex.org/W1598625800","https://openalex.org/W1642457845","https://openalex.org/W1674283941","https://openalex.org/W1679913846","https://openalex.org/W1963802005","https://openalex.org/W1965125415","https://openalex.org/W1966056248","https://openalex.org/W1967191615","https://openalex.org/W1967656072","https://openalex.org/W1967896668","https://openalex.org/W1969289662","https://openalex.org/W1969430178","https://openalex.org/W1972776583","https://openalex.org/W1980571072","https://openalex.org/W1981837371","https://openalex.org/W1982146873","https://openalex.org/W1987971958","https://openalex.org/W1989501142","https://openalex.org/W1995744610","https://openalex.org/W1995945562","https://openalex.org/W1996212302","https://openalex.org/W1996311210","https://openalex.org/W2000579331","https://openalex.org/W2003961230","https://openalex.org/W2005335677","https://openalex.org/W2005659566","https://openalex.org/W2009080092","https://openalex.org/W2011678998","https://openalex.org/W2013912476","https://openalex.org/W2014677321","https://openalex.org/W2016237448","https://openalex.org/W2020859582","https://openalex.org/W2024165284","https://openalex.org/W2025341678","https://openalex.org/W2034230784","https://openalex.org/W2035240455","https://openalex.org/W2041212323","https://openalex.org/W2041787560","https://openalex.org/W2043765645","https://openalex.org/W2045845495","https://openalex.org/W2048272574","https://openalex.org/W2048511165","https://openalex.org/W2052436251","https://openalex.org/W2052798287","https://openalex.org/W2057267524","https://openalex.org/W2059699217","https://openalex.org/W2060629187","https://openalex.org/W2064146867","https://openalex.org/W2066472373","https://openalex.org/W2068229930","https://openalex.org/W2069711307","https://openalex.org/W2069869279","https://openalex.org/W2070476377","https://openalex.org/W2070552972","https://openalex.org/W2071069822","https://openalex.org/W2073026107","https://openalex.org/W2074639523","https://openalex.org/W2076710572","https://openalex.org/W2077815622","https://openalex.org/W2078708555","https://openalex.org/W2080097192","https://openalex.org/W2081277704","https://openalex.org/W2082484800","https://openalex.org/W2088506877","https://openalex.org/W2088883866","https://openalex.org/W2088895400","https://openalex.org/W2089817566","https://openalex.org/W2095617232","https://openalex.org/W2096008106","https://openalex.org/W2096598341","https://openalex.org/W2098373464","https://openalex.org/W2098909302","https://openalex.org/W2101460669","https://openalex.org/W2101525702","https://openalex.org/W2107665951","https://openalex.org/W2114509544","https://openalex.org/W2115761267","https://openalex.org/W2117897510","https://openalex.org/W2118069309","https://openalex.org/W2119080021","https://openalex.org/W2119558943","https://openalex.org/W2119804413","https://openalex.org/W2119950877","https://openalex.org/W2121581377","https://openalex.org/W2122683221","https://openalex.org/W2123460634","https://openalex.org/W2124704116","https://openalex.org/W2125920444","https://openalex.org/W2126205901","https://openalex.org/W2129905273","https://openalex.org/W2130355776","https://openalex.org/W2130421043","https://openalex.org/W2132027014","https://openalex.org/W2132232951","https://openalex.org/W2133006561","https://openalex.org/W2135827569","https://openalex.org/W2141137217","https://openalex.org/W2141408320","https://openalex.org/W2145091349","https://openalex.org/W2145686583","https://openalex.org/W2149014007","https://openalex.org/W2150038257","https://openalex.org/W2152000177","https://openalex.org/W2153624732","https://openalex.org/W2154699417","https://openalex.org/W2157009395","https://openalex.org/W2157795344","https://openalex.org/W2158217645","https://openalex.org/W2158697714","https://openalex.org/W2159675211","https://openalex.org/W2165591553","https://openalex.org/W2166738685","https://openalex.org/W2168602111","https://openalex.org/W2169924573","https://openalex.org/W2169933147","https://openalex.org/W2170237721","https://openalex.org/W2170669764","https://openalex.org/W2171111703","https://openalex.org/W2181914545","https://openalex.org/W2183969585","https://openalex.org/W2269689819","https://openalex.org/W2286720290","https://openalex.org/W2411810140","https://openalex.org/W2502123448","https://openalex.org/W2616754551","https://openalex.org/W2797583072","https://openalex.org/W2801840425","https://openalex.org/W2911964244","https://openalex.org/W2952563653","https://openalex.org/W3104640662","https://openalex.org/W7099666281"],"related_works":["https://openalex.org/W7095435491","https://openalex.org/W7096834020","https://openalex.org/W7096455671","https://openalex.org/W7098938565","https://openalex.org/W7097870309","https://openalex.org/W7095972719","https://openalex.org/W7100968935","https://openalex.org/W7098478304","https://openalex.org/W7043703225","https://openalex.org/W7099841264"],"abstract_inverted_index":{"I":[0,50,76,99,170],"dedicate":[1,51,78],"this":[2,25,52,74],"dissertation":[3,80,118],"to":[4,22,47,54,81,92],"my":[5,8,55,63,79,113],"parents":[6],"and":[7,20,27,32,42,65,142,160,173],"sisters.":[9],"It":[10],"is":[11,61,119],"their":[12],"unconditional":[13],"love":[14],"that":[15,169],"gave":[16],"me":[17,46,67,88,135,144,155],"the":[18,82,108,125,137,145,158,163],"courage":[19],"perseverance":[21],"continue":[23],"on":[24],"long":[26],"winding":[28],"road":[29],"towards":[30],"personal":[31],"professional":[33],"improvement.":[34],"For":[35],"so":[36],"many":[37,70],"years,":[38],"they":[39],"have":[40,171],"quietly":[41],"patiently":[43],"waited":[44],"for":[45,86],"grow":[48],"up.":[49],"work":[53],"true":[56,146],"friend":[57],"Jiehua":[58],"Guo":[59],"who":[60],"like":[62],"brother":[64],"helped":[66],"tremendously":[68],"at":[69],"critical":[71],"moments":[72],"along":[73],"journey.":[75],"also":[77],"University":[83],"of":[84,107,112,139,148],"Michigan":[85],"granting":[87],"such":[89],"a":[90],"privilege":[91],"its":[93],"invaluable":[94],"educational":[95],"resources.":[96],"The":[97],"time":[98],"spent":[100],"studying":[101],"here":[102],"will":[103],"always":[104],"be":[105],"one":[106],"most":[109],"significant":[110],"parts":[111],"life.":[114],"ii":[115],"ACKNOWLEDGEMENTS":[116],"This":[117],"not":[120],"even":[121],"remotely":[122],"possible":[123],"without":[124],"guidance":[126],"from":[127],"Professor":[128,132],"Alfred":[129],"Hero,":[130],"period.":[131],"Hero":[133],"brought":[134],"into":[136,157],"world":[138],"mathematical":[140],"statistics":[141],"taught":[143],"meaning":[147],"statistical":[149],"thinking.":[150],"He":[151],"often":[152],"worked":[153],"with":[154],"late":[156],"night":[159],"early":[161],"in":[162],"morning,":[164],"going":[165],"through":[166],"each":[167],"analysis":[168],"performed":[172]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}