{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T20:35:20Z","timestamp":1743107720614,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319912851"},{"type":"electronic","value":"9783319912875"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-91287-5_23","type":"book-chapter","created":{"date-parts":[[2018,9,3]],"date-time":"2018-09-03T06:09:05Z","timestamp":1535954945000},"page":"145-150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Prediction of MMSE Score Using Time-Resolved Near-Infrared Spectroscopy"],"prefix":"10.1007","author":[{"given":"Katsunori","family":"Oyama","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhen","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaoru","family":"Sakatani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,30]]},"reference":[{"key":"23_CR1","volume-title":"World Alzheimer Report 2015. The global impact of dementia. An analysis of prevalence, incidence, cost and trends","author":"M Prince","year":"2015","unstructured":"Prince M, Wimo A, Guerchet et al (2015) World Alzheimer Report 2015. The global impact of dementia. An analysis of prevalence, incidence, cost and trends. Alzheimer\u2019s Disease International, London"},{"key":"23_CR2","unstructured":"Sarraf S, Tofighi G (2016) Classification of Alzheimer\u2019s disease structural MRI data by deep learning convolutional neural networks. arXiv preprint arXiv:1607.06583"},{"key":"23_CR3","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/978-3-319-55231-6_37","volume":"977","author":"Y Murayama","year":"2017","unstructured":"Murayama Y, Sato Y, Hu L et al (2017) Relation between cognitive function and baseline concentrations of hemoglobin in prefrontal cortex of elderly people measured by time-resolved near-infrared spectroscopy. Adv Exp Med Biol 977:269\u2013276","journal-title":"Adv Exp Med Biol"},{"issue":"9","key":"23_CR4","doi-asserted-by":"publisher","first-page":"922","DOI":"10.1111\/j.1532-5415.1992.tb01992.x","volume":"40","author":"TN Tombaugh","year":"1992","unstructured":"Tombaugh TN, McIntyre NJ (1992) The mini-mental state examination: a comprehensive review. J Am Geriatr Soc 40(9):922\u2013935","journal-title":"J Am Geriatr Soc"},{"key":"23_CR5","first-page":"204","volume":"4160","author":"M Oda","year":"2000","unstructured":"Oda M, Nakano T, Suzuki A et al (2000) Near infrared time-resolved spectroscopy system for tissue oxygenation monitor. SPIE 4160:204\u2013210","journal-title":"SPIE"},{"key":"23_CR6","doi-asserted-by":"publisher","first-page":"2331","DOI":"10.1364\/AO.28.002331","volume":"28","author":"MS Patterson","year":"1986","unstructured":"Patterson MS, Chance B, Wilson C (1986) Time resolved reflectance and transmittance for the non-invasive measurement of tissue optical properties. Appl Opt 28:2331\u20132336","journal-title":"Appl Opt"},{"key":"23_CR7","unstructured":"Candel A, Lanford J, LeDell, et al (2017) Deep learning with H2O. \n                    https:\/\/h2o-release.s3.amazonaws.com\/h2o\/rel-slater\/9\/docs-website\/h2o-docs\/booklets\/DeepLearning_Vignette.pdf\n                    \n                  . Accessed Aug 2017"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Reddy YB (2017) Classification and automatic recognition of objects using H2O package. Proceedings of SPIE 10185, Cyber Sensing 101850F","DOI":"10.1117\/12.2266596"}],"container-title":["Advances in Experimental Medicine and Biology","Oxygen Transport to Tissue XL"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-91287-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T15:08:36Z","timestamp":1570201716000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-91287-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319912851","9783319912875"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-91287-5_23","relation":{},"ISSN":["0065-2598","2214-8019"],"issn-type":[{"type":"print","value":"0065-2598"},{"type":"electronic","value":"2214-8019"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"30 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}