SINEW 15 - Weekly Biomarker Dataset

Citation Author(s):
Ah-Hwee
TAN
Budhitama
SUBAGDJA
Weng Yan
YING
Shanthoshigaa
D
Iris
Rawtaer
Submitted by:
wengyan ying
Last updated:
Mon, 11/04/2024 - 05:30
DOI:
10.21227/vb3q-q595
Data Format:
*.csv
License:
Creative Commons Attribution
121 Views
Categories:
Artificial Intelligence
Machine Learning
Keywords:
Mild cognitive impairment (MCI) detection, digital biomarker extraction, Predictive modelling, Data Models, explainable AI; self-organizing neural networks
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Abstract 

The SINEW (Sensors in Home for Elderly Wellbeing) dataset consists of 15 high-level biomarker features, derived from raw sensor readings collected by in-home sensors used for predictive modeling research: SINEW Weekly Biomarker.

This dataset was collected for a study focused on the early detection of mild cognitive impairment, providing an opportunity for timely intervention before it progresses to Alzheimer's disease.

Instructions: 

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Funding Agency: 
National Medical Research Council , Singapore Management University
Grant Number: 
TA22jul-0012 , SAJL-2022-HAS001

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File SINEW 15 - Weekly Biomarker Dataset.txt7.11 KB

 

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