Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records.
Jie XuFei WangZhenxing XuPrakash AdekkanattuPascal S BrandtGuoqian JiangRichard C KieferYuan LuoChengsheng MaoJennifer A PachecoLuke V RasmussenYiye ZhangRichard IsaacsonJyotishman PathakPublished in: Learning health systems (2020)
Four subphenotypes were computationally derived that correlated with cardiovascular diseases and mental health illnesses. ML algorithms based on patient demographics, diagnosis, and treatment demonstrated promising results in predicting the risk of developing AD at different time points across an individual's lifespan.
Keyphrases
- electronic health record
- mental health
- cardiovascular disease
- mild cognitive impairment
- clinical decision support
- machine learning
- cognitive decline
- small molecule
- case report
- adverse drug
- cognitive impairment
- deep learning
- high throughput
- mental illness
- cardiovascular risk factors
- type diabetes
- metabolic syndrome
- cardiovascular events