Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study
Background: Although machine learning has increasingly been used to predict mental health symptoms and maladaptive behaviors, real-world prediction of addiction-related risk remains limitedโฆ
Read the full articleYou might also wanna read
Foundation Models for Wearable Behavioral Data Improve Health Predictions
Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly u
arxiv.orgยท10mo ago
Machine Learning Model Shows Promise for Predicting Liver Cancer Risk in Young Adults
A machine learning algorithm predicts early-onset liver cancer in young adults better than traditional models.
mdsc.peยท7d agoccrvam: A Python Package for Model-Free Exploratory Analysis of Multivariate Discrete Data with an Ordinal Response Variable
This work introduces ccrvam , a comprehensive Python package for Checkerboard Copula Regression-based Visualization and Association Measure
โ๊ฐ์กฑยท์น๊ตฌ์ ๋ฉ์ ์ ์ํต ํ๋ฐํ ์๋ก ์์ด ์๊ฐ ๊ฐ์โ
๊ฐ์กฑ์ด๋ ์น๊ตฌ์ ์ธ์คํดํธ ๋ฉ์์ง ์ฑ์ผ๋ก ๊พธ์คํ ์ํตํ๋ฉด ์์ด ์๊ฐ์ด ๊ฐ์ํ๋ค๋ ์ฐ๊ตฌ ๊ฒฐ๊ณผ๊ฐ ๋์๋ค.๊ฐ์ฒ๋ํ๊ต๋ ๋ฏธ๋์ด์ปค๋ฎค๋์ผ์ด์ ํ๊ณผ ์ต๋ํ ๊ต์์ ์ฐ๊ตฌ ๋ ผ๋ฌธ โ์์ด์ ๋์ธ๊ด๊ณ ์ฌ๋ฆฌ์ด๋ก ์ ์ ์ฉํ ์ธ์คํดํธ ๋ฉ์์ง ์ฑ ์ฌ์ฉ์ ์์ด ์๊ฐ์ ๋ํ ํจ๊ณผ(The
Theta beta ratio in attention deficit hyperactivity disorder using a multiverse analysis
Attention deficit hyperactivity disorder (ADHD) affects 5โ7% of children worldwide, yet diagnosis continues to rely on clinical-behavioral a
Study Finds Association Between Daily Generative AI Use and Higher Depressive Symptoms in US Adults
This survey study examines the associations of generative artificial intelligence (AI) use with negative affective symptoms in a large natio
jamanetwork.comยท4mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.