Deep Learning with Yacine on MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Analytics Insight

Certified Data Science Professional (CDSP), United States Data Science Institute (USDSI)

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
British Journal of Sports Medicine

Can fitness apps work long term? A 24-month quasiexperiment of 516 818 Canadian fitness app users

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...
IEEE

Sentiment Analysis: A Machine Learning Perspective

Abstract: An essential part of natural language processing, sentiment analysis makes it possible to automatically extract sentiment from textual input. In this work, we examine how well different ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
IEEE

Evaluating Support Vector Machine and Logistic Regression: A Machine Learning-Based Statistical Study for Breast Cancer Diagnosis

Abstract: In the context of binary classification for breast cancer diagnosis, this paper offers a comparative statistical analysis of two popular classification techniques, Support Vector Machine ...
Frontiers

Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia

Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, ...
lupus.bmj

Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...