Predicting Risk of Dementia with Survival  Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort

Daniel Stamate; Henry Musto; Olesya Ajnakina; Daniel Stahl

Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort

Daniel Stamate, Henry Musto, Olesya Ajnakina, Daniel Stahl

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	rtificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology
Editors	Ilias Maglogiannis
Publisher	Springer, Cham
Pages	1-12
Number of pages	12
Volume	652
ISBN (Electronic)	978-3-031-08341-9
Publication status	Accepted/In press - 10 Jun 2022

Keywords

survival
dementia
machine learning
prediction model

Cite this

Stamate, D., Musto, H., Ajnakina, O., & Stahl, D. (Accepted/In press). Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. In I. Maglogiannis (Ed.), rtificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology (Vol. 652, pp. 1-12). Springer, Cham.

Stamate, Daniel ; Musto, Henry ; Ajnakina, Olesya et al. / Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. rtificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology. editor / Ilias Maglogiannis. Vol. 652 Springer, Cham, 2022. pp. 1-12

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Stamate, D, Musto, H, Ajnakina, O & Stahl, D 2022, Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. in I Maglogiannis (ed.), rtificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology. vol. 652, Springer, Cham, pp. 1-12.

Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. / Stamate, Daniel; Musto, Henry; Ajnakina, Olesya et al.
rtificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology. ed. / Ilias Maglogiannis. Vol. 652 Springer, Cham, 2022. p. 1-12.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

TY - CHAP

T1 - Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort

AU - Stamate, Daniel

AU - Musto, Henry

AU - Ajnakina, Olesya

AU - Stahl, Daniel

PY - 2022/6/10

Y1 - 2022/6/10

KW - survival

KW - dementia

KW - machine learning

KW - prediction model

UR - https://doi.org/10.1007/978-3-031-08341-9_35

M3 - Conference paper

VL - 652

SP - 1

EP - 12

BT - rtificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology

A2 - Maglogiannis, Ilias

PB - Springer, Cham

ER -

Stamate D, Musto H, Ajnakina O , Stahl D. Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. In Maglogiannis I, editor, rtificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops. AIAI 2022. IFIP Advances in Information and Communication Technology. Vol. 652. Springer, Cham. 2022. p. 1-12

Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort

Keywords

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