Researchers from Genentech Inc. Detail Research in Disease Progression (Prediction and clustering of Alzheimer's disease by race and sex: a multi-head deep-learning approach to analyze irregular and heterogeneous data).

Předmět:	CENTRAL nervous system diseases SEX factors in disease ALZHEIMER'S disease CONVOLUTIONAL neural networks STANDARD deviations
Zdroj:	Pain & Central Nervous System Week; 11/29/2024, p890-890, 1p
Abstrakt:	Researchers from Genentech Inc. conducted a study on predicting and clustering Alzheimer's disease based on race and sex using a multi-head deep-learning approach. The study aimed to analyze heterogeneous data and identify predictors of disease progression. The research found that a multi-head and early-fusion convolutional neural network achieved high accuracy in predicting disease progression, with 97% test accuracy and 96% F1 score. This study provides valuable insights into understanding Alzheimer's disease progression and risk factors among different population subsets. [Extracted from the article]
Databáze:	Complementary Index
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