{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T17:02:08Z","timestamp":1786122128902,"version":"build-2736575974"},"reference-count":59,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82030123"],"award-info":[{"award-number":["82030123"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82202270"],"award-info":[{"award-number":["82202270"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2024J09044"],"award-info":[{"award-number":["2024J09044"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008021","name":"Fujian University of Traditional Chinese Medicine","doi-asserted-by":"publisher","award":["XQC2023003"],"award-info":[{"award-number":["XQC2023003"]}],"id":[{"id":"10.13039\/501100008021","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008021","name":"Fujian University of Traditional Chinese Medicine","doi-asserted-by":"publisher","award":["X2023018"],"award-info":[{"award-number":["X2023018"]}],"id":[{"id":"10.13039\/501100008021","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010097","name":"China Association for Science and Technology","doi-asserted-by":"publisher","award":["YESS20240674"],"award-info":[{"award-number":["YESS20240674"]}],"id":[{"id":"10.13039\/100010097","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Asian Journal of Psychiatry"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1016\/j.ajp.2025.104532","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T02:44:47Z","timestamp":1747277087000},"page":"104532","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Machine learning prediction prior to onset of mild cognitive impairment using T1-weighted magnetic resonance imaging radiomic of the hippocampus"],"prefix":"10.1016","volume":"108","author":[{"given":"Shiqi","family":"Zhan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiawei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7477-3549","authenticated-orcid":false,"given":"Jie","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinru","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingqing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daixuan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuxiu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0333-727X","authenticated-orcid":false,"given":"Shengxiang","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lidian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ajp.2025.104532_bib1","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.jalz.2011.03.008","article-title":"The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease","volume":"7","author":"Albert","year":"2011","journal-title":"Alzheimer's Dement."},{"key":"10.1016\/j.ajp.2025.104532_bib2","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1093\/brain\/awx365","article-title":"Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years","volume":"141","author":"Albert","year":"2018","journal-title":"Brain"},{"key":"10.1016\/j.ajp.2025.104532_bib3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.7326\/M17-1531","article-title":"Does cognitive training prevent cognitive decline?: a systematic review","volume":"168","author":"Butler","year":"2018","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.ajp.2025.104532_bib4","article-title":"Multiparametric hippocampal signatures for early diagnosis of Alzheimer's disease using (18)F-FDG PET\/MRI Radiomics","volume":"30","author":"Chen","year":"2024","journal-title":"CNS Neurosci. Ther."},{"key":"10.1016\/j.ajp.2025.104532_bib5","doi-asserted-by":"crossref","first-page":"491","DOI":"10.2147\/NDT.S123428","article-title":"From mild cognitive impairment to subjective cognitive decline: conceptual and methodological evolution","volume":"13","author":"Cheng","year":"2017","journal-title":"Neuropsychiatr. Dis. Treat."},{"issue":"S3","key":"10.1016\/j.ajp.2025.104532_bib6","article-title":"Radiomics deep learning application to differentiate mild cognitive impairment patients (MCI) from healthy control (HC)","volume":"19","author":"Cheung","year":"2023","journal-title":"Alzheimer\u2019s Dem."},{"key":"10.1016\/j.ajp.2025.104532_bib7","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1080\/0361073X.2024.2313940","article-title":"Hippocampal subregions volume and texture for the diagnosis of mild cognitive impairment","volume":"51","author":"Chu","year":"2025","journal-title":"Exp. Aging Res."},{"key":"10.1016\/j.ajp.2025.104532_bib8","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1192\/bjp.bp.113.127811","article-title":"Treatment for mild cognitive impairment: systematic review","volume":"203","author":"Cooper","year":"2013","journal-title":"Br. J. Psychiatry"},{"key":"10.1016\/j.ajp.2025.104532_bib9","doi-asserted-by":"crossref","unstructured":"Cortes, C., Vapnik, V.J.M.l., 1995. Support-vector networks. vol. 20, pp. 273\u201397.","DOI":"10.1007\/BF00994018"},{"key":"10.1016\/j.ajp.2025.104532_bib10","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.3000546","article-title":"Spatial encoding in primate hippocampus during free navigation","volume":"17","author":"Courellis","year":"2019","journal-title":"PLoS Biol."},{"key":"10.1016\/j.ajp.2025.104532_bib11","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1016\/j.neuroimage.2012.01.084","article-title":"Predicting the development of mild cognitive impairment: a new use of pattern recognition","volume":"60","author":"Cui","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.ajp.2025.104532_bib12","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1186\/s13195-023-01167-z","article-title":"Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment","volume":"15","author":"Dang","year":"2023","journal-title":"Alzheimers Res. Ther."},{"key":"10.1016\/j.ajp.2025.104532_bib13","doi-asserted-by":"crossref","first-page":"1622","DOI":"10.1016\/j.neuroimage.2012.01.075","article-title":"MRI hippocampal and entorhinal cortex mapping in predicting conversion to Alzheimer's disease","volume":"60","author":"Devanand","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.ajp.2025.104532_bib14","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1186\/s13195-023-01335-1","article-title":"Divergent brain regional atrophy and associated fiber disruption in amnestic and non-amnestic MCI","volume":"15","author":"Du","year":"2023","journal-title":"Alzheimers Res. Ther."},{"key":"10.1016\/j.ajp.2025.104532_bib15","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1016\/S1474-4422(21)00066-1","article-title":"Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group","volume":"20","author":"Dubois","year":"2021","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.ajp.2025.104532_bib16","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jns.2008.04.024","article-title":"Small baseline volume of left hippocampus is associated with subsequent conversion of MCI into dementia: the G\u00f6teborg MCI study","volume":"272","author":"Eckerstr\u00f6m","year":"2008","journal-title":"J. Neurol. Sci."},{"key":"10.1016\/j.ajp.2025.104532_bib17","doi-asserted-by":"crossref","first-page":"e1331","DOI":"10.1212\/WNL.0000000000007133","article-title":"Microglial activation in early Alzheimer trajectory is associated with higher gray matter volume","volume":"92","author":"Femminella","year":"2019","journal-title":"Neurology"},{"key":"10.1016\/j.ajp.2025.104532_bib18","doi-asserted-by":"crossref","first-page":"323","DOI":"10.3389\/fnagi.2019.00323","article-title":"Hippocampus radiomic biomarkers for the diagnosis of amnestic mild cognitive impairment: a machine learning method","volume":"11","author":"Feng","year":"2019","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib19","doi-asserted-by":"crossref","first-page":"290","DOI":"10.3389\/fnagi.2018.00290","article-title":"Radiomic features of hippocampal subregions in Alzheimer\u2019s disease and amnestic mild cognitive impairment","volume":"10","author":"Feng","year":"2018","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib20","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1097\/WCO.0000000000000469","article-title":"Measuring compensation in neurodegeneration using MRI","volume":"30","author":"Gregory","year":"2017","journal-title":"Curr. Opin. Neurol."},{"key":"10.1016\/j.ajp.2025.104532_bib21","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1097\/RLI.0000000000000962","article-title":"Multiparametric MRI: from simultaneous rapid acquisition methods and analysis techniques using scoring, machine learning, radiomics, and deep learning to the generation of novel metrics","volume":"58","author":"Hagiwara","year":"2023","journal-title":"Invest. Radiol."},{"key":"10.1016\/j.ajp.2025.104532_bib22","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.neurobiolaging.2018.10.013","article-title":"In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies","volume":"74","author":"Hanko","year":"2019","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.ajp.2025.104532_bib23","unstructured":"Ho, T.K., 1995. Proceedings of 3rd International Conference on Document Analysis and Recognition."},{"key":"10.1016\/j.ajp.2025.104532_bib24","series-title":"Applied Logistic Regression","author":"Hosmer Jr","year":"2013"},{"key":"10.1016\/j.ajp.2025.104532_bib25","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.1007\/s11136-020-02425-5","article-title":"Mild cognitive impairment and quality of life in the oldest old: a closer look","volume":"29","author":"Hussenoeder","year":"2020","journal-title":"Qual. Life Res."},{"key":"10.1016\/j.ajp.2025.104532_bib26","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/S1474-4422(09)70299-6","article-title":"Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade","volume":"9","author":"Jack","year":"2010","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.ajp.2025.104532_bib27","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1002\/mrm.1243","article-title":"4D deformation modeling of cortical disease progression in Alzheimer's dementia","volume":"46","author":"Janke","year":"2001","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.ajp.2025.104532_bib28","first-page":"3149","article-title":"Lightgbm: A highly efficient gradient boosting decision tree","volume":"30","author":"Ke","year":"2017","journal-title":"Adv. Neural. Inf. Process Syst."},{"key":"10.1016\/j.ajp.2025.104532_bib29","article-title":"White matter connectivity and gray matter volume changes following donepezil treatment in patients with mild cognitive impairment: a preliminary study using probabilistic tractography","volume":"12","author":"Kim","year":"2020","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib30","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2023.1149871","article-title":"A cross-sectional study of explainable machine learning in Alzheimer's disease: diagnostic classification using MR radiomic features","volume":"15","author":"Leandrou","year":"2023","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib31","doi-asserted-by":"crossref","first-page":"176","DOI":"10.3389\/fnagi.2020.00176","article-title":"Assessment of Alzheimer's disease based on texture analysis of the entorhinal cortex","volume":"12","author":"Leandrou","year":"2020","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib32","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1503\/jpn.180171","article-title":"Magnetic resonance imaging texture predicts progression to dementia due to Alzheimer\u2019s disease earlier than hippocampal volume","volume":"45","author":"Lee","year":"2020","journal-title":"J. Psychiatry Neurosci. JPN"},{"key":"10.1016\/j.ajp.2025.104532_bib33","first-page":"493","article-title":"Topological analysis of brain glucose metabolic connectivity networks of patients with type 2 diabetes mellitus combined with mild cognitive impairment","volume":"33","author":"Liang","year":"2023","journal-title":"Rehabil. Med."},{"key":"10.1016\/j.ajp.2025.104532_bib34","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1186\/s13195-024-01415-w","article-title":"Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals","volume":"16","author":"Moradi","year":"2024","journal-title":"Alzheimers Res. Ther."},{"key":"10.1016\/j.ajp.2025.104532_bib35","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1126\/science.1151120","article-title":"Transgenic inhibition of synaptic transmission reveals role of CA3 output in hippocampal learning","volume":"319","author":"Nakashiba","year":"2008","journal-title":"Science"},{"key":"10.1016\/j.ajp.2025.104532_bib36","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1038\/s43587-020-00003-5","article-title":"Individualized prognosis of cognitive decline and dementia in mild cognitive impairment based on plasma biomarker combinations","volume":"1","author":"Nicholas","year":"2020","journal-title":"Nat. Aging"},{"key":"10.1016\/j.ajp.2025.104532_bib37","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1186\/s13195-024-01517-5","article-title":"Predicting progression from subjective cognitive decline to mild cognitive impairment or dementia based on brain atrophy patterns","volume":"16","author":"Ond\u0159ej","year":"2024","journal-title":"Alzheimer's Res. Ther."},{"key":"10.1016\/j.ajp.2025.104532_bib38","doi-asserted-by":"crossref","first-page":"S141","DOI":"10.3233\/JAD-150087","article-title":"Hippocampal subfield volumetry and 3D surface mapping in subjective cognitive decline","volume":"1","author":"Perrotin","year":"2015","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.ajp.2025.104532_bib39","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2020.102400","article-title":"Multiple markers contribute to risk of progression from normal to mild cognitive impairment","volume":"28","author":"Rabin","year":"2020","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.ajp.2025.104532_bib40","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1126\/science.ade6530","article-title":"A shift in the mechanisms controlling hippocampal engram formation during brain maturation","volume":"380","author":"Ramsaran","year":"2023","journal-title":"Science"},{"key":"10.1016\/j.ajp.2025.104532_bib41","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1176\/appi.neuropsych.17120366","article-title":"Brain MR radiomics to differentiate cognitive disorders","volume":"31","author":"Ranjbar","year":"2019","journal-title":"J. Neuropsychiatry Clin. Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib42","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1016\/j.jagp.2017.06.019","article-title":"Acute affective reactivity and quality of life in older adults with amnestic mild cognitive impairment: a functional MRI study","volume":"25","author":"Ren","year":"2017","journal-title":"Am. J. Geriatr. Psychiatry"},{"key":"10.1016\/j.ajp.2025.104532_bib43","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1007\/s40520-023-02565-x","article-title":"Diagnostic performance of MRI radiomics for classification of Alzheimer's disease, mild cognitive impairment, and normal subjects: a systematic review and meta-analysis","volume":"35","author":"Shahidi","year":"2023","journal-title":"Aging Clin. Exp. Res."},{"key":"10.1016\/j.ajp.2025.104532_bib44","doi-asserted-by":"crossref","DOI":"10.1177\/17562864211029551","article-title":"Prediction of the progression from mild cognitive impairment to Alzheimer\u2019s disease using a radiomics-integrated model","volume":"14","author":"Shu","year":"2021","journal-title":"Ther. Adv. Neurol. Disord."},{"key":"10.1016\/j.ajp.2025.104532_bib45","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1186\/s12874-021-01374-y","article-title":"To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets","volume":"21","author":"\u0160inkovec","year":"2021","journal-title":"BMC Med. Res. Methodol."},{"key":"10.1016\/j.ajp.2025.104532_bib46","doi-asserted-by":"crossref","first-page":"64","DOI":"10.3945\/an.114.007500","article-title":"Flavonoid-based therapies in the early management of neurodegenerative diseases","volume":"6","author":"Solanki","year":"2015","journal-title":"Adv. Nutr."},{"key":"10.1016\/j.ajp.2025.104532_bib47","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1002\/hbm.23091","article-title":"Early detection of Alzheimer's disease using MRI hippocampal texture","volume":"37","author":"S\u00f8rensen","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.ajp.2025.104532_bib48","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.neurobiolaging.2017.06.027","article-title":"Identifying incipient dementia individuals using machine learning and amyloid imaging","volume":"59","author":"Sulantha","year":"2017","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.ajp.2025.104532_bib49","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1523\/JNEUROSCI.23-03-00994.2003","article-title":"Dynamics of gray matter loss in Alzheimer's disease","volume":"23","author":"Thompson","year":"2003","journal-title":"J. Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib50","article-title":"Textural features reflecting local activity of the hippocampus improve the diagnosis of Alzheimer's disease and amnestic mild cognitive impairment: a radiomics study based on functional magnetic resonance imaging","volume":"16","author":"Wang","year":"2022","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.ajp.2025.104532_bib51","doi-asserted-by":"crossref","DOI":"10.1016\/j.ajp.2024.103921","article-title":"Alterations in hippocampus-centered morphological features and function of the progression from normal cognition to mild cognitive impairment","volume":"93","author":"Wang","year":"2024","journal-title":"Asian J. Psychiatry"},{"key":"10.1016\/j.ajp.2025.104532_bib52","doi-asserted-by":"crossref","first-page":"342","DOI":"10.3389\/fneur.2018.00342","article-title":"Altered whole-brain structural covariance of the hippocampal subfields in subcortical vascular mild cognitive impairment and amnestic mild cognitive impairment patients","volume":"9","author":"Wang","year":"2018","journal-title":"Front. Neurol."},{"key":"10.1016\/j.ajp.2025.104532_bib53","doi-asserted-by":"crossref","DOI":"10.1093\/braincomms\/fcad195","article-title":"Longitudinal changes in hippocampal texture from healthy aging to Alzheimer's disease","volume":"5","author":"Wearn","year":"2023","journal-title":"Brain Commun."},{"key":"10.1016\/j.ajp.2025.104532_bib54","doi-asserted-by":"crossref","first-page":"S4","DOI":"10.1186\/1471-2105-7-S2-S4","article-title":"Support vector machine implementations for classification & clustering","volume":"2","author":"Winters-Hilt","year":"2006","journal-title":"BMC Bioinform."},{"key":"10.1016\/j.ajp.2025.104532_bib55","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107934","article-title":"Learning from class-imbalanced data with a model-agnostic framework for machine intelligent diagnosis","volume":"216","author":"Wu","year":"2021","journal-title":"Reliab Eng. Syst. Saf."},{"key":"10.1016\/j.ajp.2025.104532_bib56","doi-asserted-by":"crossref","first-page":"226","DOI":"10.3389\/fpsyt.2018.00226","article-title":"Asymmetry of hippocampus and amygdala defect in subjective cognitive decline among the community dwelling Chinese","volume":"9","author":"Yue","year":"2018","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.ajp.2025.104532_bib57","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s11682-011-9142-3","article-title":"3D texture analysis on MRI images of Alzheimer\u2019s disease","volume":"6","author":"Zhang","year":"2012","journal-title":"Brain Imaging Behav."},{"key":"10.1016\/j.ajp.2025.104532_bib58","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.3390\/brainsci12081067","article-title":"A novel deep learning radiomics model to discriminate AD, MCI and NC: an exploratory study based on tau PET scans from ADNI","volume":"12","author":"Zhao","year":"2022","journal-title":"Brain Sci."},{"key":"10.1016\/j.ajp.2025.104532_bib59","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2024.1352423","article-title":"Machine learning-based prediction of mild cognitive impairment among individuals with normal cognitive function","volume":"15","author":"Zhu","year":"2024","journal-title":"Front. Neurol."}],"container-title":["Asian Journal of Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1876201825001753?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1876201825001753?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T08:38:01Z","timestamp":1786091881000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1876201825001753"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":59,"alternative-id":["S1876201825001753"],"URL":"https:\/\/doi.org\/10.1016\/j.ajp.2025.104532","relation":{},"ISSN":["1876-2018"],"issn-type":[{"value":"1876-2018","type":"print"}],"subject":[],"published":{"date-parts":[[2025,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning prediction prior to onset of mild cognitive impairment using T1-weighted magnetic resonance imaging radiomic of the hippocampus","name":"articletitle","label":"Article Title"},{"value":"Asian Journal of Psychiatry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ajp.2025.104532","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104532"}}