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On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Apr 202119922001200920172026
2 results for “PHQ-8”
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Studystat.ML

Bluetooth data predicts depression severity, showing 18.8% extra variance.

problem Predicting depressive symptom severity using Bluetooth data.
method Extracted 49 Bluetooth features from NBDC data, used linear mixed-effect and hierarchical Bayesian linear regression models.
result Hierarchical Bayesian model achieved best prediction metrics (R2=0.526, RMSE=3.891).
depressionBluetoothmobile phonesPHQ-8Bayesian
2021-04-26abs ↗pdf ↗
MCAnalysis: An Open-Source Package for Preprocessing, Modelling, and Visualisation of Menstrual Cycle Effects in Digital Health Datastat.AP

mcanalysis quantifies menstrual cycle effects in health data.

problem Lack of standardised statistical methods for menstrual cycle research.
method Fourier-basis generalised additive model (GAM) pipeline.
result Nine out of 15 health outcomes showed significant association with menstrual cycle.
menstrual cycledigital healthFourier basisgeneralised additive modelreproducible analysis
2026-04-14abs ↗pdf ↗