Importance/background The 12-lead ECG is recommended in clinical guidelines for prehospital assessment of patients with ...

Abstract: We study the data-driven finite-horizon linear quadratic regularization (LQR) problem reformulated as a semidefinite program (SDP). Our contribution is to propose two novel accelerated first ...

An analysis of patient responses to the CITAS and RINVR identified factors associated with taste alteration in patients with cancer treated with cisplatin.

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...

Objectives This study uses nationally representative survey data from the USA to estimate the relationship between a history of heart attack or stroke with the prevalence of mental health symptoms.

A software tool that uses machine learning techniques to predict whether a person has diabetes based on their medical data. This project involves creating a machine learning prediction solution for ...

Primary and secondary outcome measures The primary outcome was tracheal injury score, assessed via fibreoptic bronchoscopy for hyperaemia, ischaemia, ulcers and perforation. Lesions were classified as ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Researchers used satellite data to map air pollution across Ghana from 2003-2019, finding higher levels in the southwest likely due to vegetation & mining.

A one-page summary of the course can be found here. This document is still a work in progress. We will update this as we progress through the course. You are encouraged to keep a copy of this document ...

Yonyou Data Services continues to explore and implement the deep integration of Artificial Intelligence (AI) and Business ...