How 'algorithm' got its name from a 9th-century Persian mathematician

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.
leewayhertz

AI in anomaly detection: Use cases, methods, algorithms and solution

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...
IEEE

An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes

Abstract: In progressive stamping processes, condition monitoring based on tonnage signals is of great practical significance. One typical fault in progressive stamping processes is a missing part in ...
BMJ

Development of screening tools to predict the risk of recurrence and related complications following anal fistula surgery: protocol for a prospective cohort study

Introduction Postoperative recurrence and related complications are common and related to poor outcomes in patients with anal fistula (AF). Due to being associated with short-term and long-term cure ...
SciELO

Subclinical varicose vein recurrence: modern approaches in aesthetic phlebology

Background Recurrence after varicose vein treatment is usually framed as varices on a previously treated limb, potentially overlooking patients with cosmetic C0–C1 concerns who still experience duplex ...
IEEE

Uncertainty Quantification Analysis of Wind Power: A Data-Driven Monitoring-Forecasting Framework

Abstract: Advances in wind power system modeling have produced widespread socioeconomic benefits for alleviating global environmental problems. However, previous studies mainly payed attention to ...
BMJ

Efficacy and safety of an algorithm using C-reactive protein to guide antibiotic therapy applied through a digital clinical decision support system: a study protocol for a ...

Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...
The Lancet

Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study

bKey Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China cNHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR ...
Frontiers

Synthetic minority over-sampling technique-enhanced machine learning models for predicting recurrence of postoperative chronic subdural hematoma

Chronic subdural hematoma (CSDH) is a neurological condition with high recurrence rates, primarily observed in the elderly population. Although several risk factors have been identified, predicting ...
ascopubs.org

Using Machine Learning to Leverage Biomarker Change and Predict Colorectal Cancer Recurrence

We used electronic health record data from an integrated health system on a cohort of patients diagnosed with American Joint Committee on Cancer stage I-III CRC between 2008 and 2013 (N = 3,970) and ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...