Using AI for Predicting Syncope in Older Persons Nandu Goswami - PowerPoint PPT Presentation

Using AI for Predicting Syncope in Older Persons Nandu Goswami Chair of Physiology Division Otto Loewi Research Center of Vascular Biology, Immunity and Infmammation Medical University of Graz, Austria Director of Research of Health Sciences, Physiotherapy and Social Gerontology Alma Mater Europea Maribor, Slovenia Co-ordinator of Falls Prevention Task Force European Innovative Partnership Active & Healthy Aging 1

2060 2013 Costs 30 % Countries 17 % EU Aging Report, Brussels EU Aging Report, Brussels 2

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• 65+ year old patients  40 % acute hospitalizations • Poor outcomes: … high 1 year mortality … 30 % functional decline … high re-admission rates … higher home healthcare usage 4

further De-conditioning Immobilizatio n Falls / Fear of falling 5

Singh et al. (2008). Mayo Clinic Proceedings, 83(10), 1146-1153. • Keeping ambulatory persons mobile • Getting bed-confjned persons re- mobilized 6

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Grasser E, Goswami N , Hinghofer-Szalkay H. Presyncopal cardiac contractility and autonomic activity in young healthy males. Physiol Res 2009; 58, 817-26 8

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● Hardware: - 16 nodes of Prometheus were used : - K40 nvidia gpus, - Approx. 12 days of computing - mostly for setting right parameters ● Deep learning methods: - LSTM (Long short-term memory): Better than the classic statistical methods (ARIMA, ES1, ES2, Winter-holds, moving-average) 10

● 85 % accuracy of classifjcation with LSTM ● Heart rate (HR) and mean blood pressure used 11

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● More detailed presentation on what was done ● More time series to be taken ● Stroke volume & stroke index (accounts for sex and age ) ● Total Peripheral Resistance changes accordingly to mBP ● Incorporate more information ● Gender Predisposition ● Age Predisposition 13

● Model trained on syncope dataset ● Dataset was balanced by sub-sampling regular data so it matched the number of syncope data ● All difgerent classes of Syncope were taken ● Threshold was set of 0.7 (assumed that a patient would faint) ● Reduced signal of syncope was taken ○ 500 points were truncated the beginning ○ 500 points removed at the end 15