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Objective: To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates. Data Sources: We used secondary data on ED visits from the National Hospital Ambulatory Medical Survey (NHAMCS), from 2016 to 2020. Study Design: We established baseline performance metrics with seven published algorithms consisting of International Classification of Disease, Tenth Revision codes used to identify low acuity ED visits. We then trained logistic regression, random forest, and gradient boosting (XGBoost) models to predict low acuity ED visits. Each model was trained on five different covariate sets of demographic and clinical data. Model performance was compared using a separate validation dataset. The primary performance metric was the probability that a visit identified by an algorithm as low acuity did not experience significant testing, treatment, or disposition (positive predictive value, PPV). Subgroup analyses assessed model performance across age, sex, and race/ethnicity. Data Collection: We used 2016-2019 NHAMCS data as the training set and 2020 NHAMCS data for validation. Principal Findings: The training and validation data consisted of 53,074 and 9542 observations, respectively. Among seven rule-based algorithms, the highest-performing had a PPV of 0.35 (95% CI [0.33, 0.36]). All model-based algorithms outperformed existing algorithms, with the least effective--random forest using only age and sex--improving PPV by 26% (up to 0.44; 95% CI [0.40, 0.48]). Logistic regression and XGBoost trained on all variables improved PPV by 83% (to 0.64; 95% CI [0.62, 0.66]). Multivariable models also demonstrated higher PPV across all three demographic subgroups. Conclusions: Machine learning models substantially outperform existing algorithms based on ICD codes in predicting low acuity ED visits. Variations in model performance across demographic groups highlight the need for further research to ensure their applicability and fairness across diverse populations. KEYWORDS algorithms, Emergency Department, ICD-10, low acuity, machine learning, predictive modeling, 1 | INTRODUCTION A substantial proportion of Emergency Department (ED) visits are thought to be potentially amenable to care in lower-priced settings. (1) In the absence of expansions in ED [...]

Chris, a digital marketer, was excited to launch a digital campaign for a new line of products. After careful research into the target audience and the competition, Chris partnered with [...]

* The Advantages and Limitations of AI in Rail Artificial Intelligence (AI) has recently experienced a significant leap forward. AI, a broad term encompassing software tasked with performing various functions, [...]

Inexpensive methods to measure battery energy can result in low precision measurements, and techniques to increase precision often add complexity and cost. One alternative uses a software algorithm that provides [...]

Artificial intelligence (AI) and machine learning (ML) in the biopharmaceutical industry have been widely applied across drug discovery and clinical development efforts. These technologies also have potential to impact many [...]

The Justice Department filed an amicus brief in the U.S. Court of Appeals for the Ninth Circuit supporting customers who accused Caesars Entertainment (CZR) and other Las Vegas hotel companies [...]

WORLDWIDE COMPUTER PRODUCTS NEWS-October 14, 2024-WiMi unveils machine learning-based blockchain hybrid consensus algorithm (C)1995-2024 M2 COMMUNICATIONS http://www.m2.co.uk AR technology company WiMi Hologram Cloud Inc (NASDAQ: WIMI) announced on Monday that [...]

The9 announced that its wholly-owned subsidiary Shanghai The9 Information Technology signed a joint venture agreement with ShaoXing TongZe Network Technology, an AI algorithms and big data marketing service provider in [...]

Byline: John Irwin Magna International Inc. is pitching automakers on a new thermal sensing product that processes information using artificial intelligence. The supplier says its system reduces the number of [...]

SEALSQ Corp announces its intention to complete traditional existing Public Key Infrastructure technology with advanced Post-Quantum Cryptography and post-quantum semiconductors. This development reflects SEALSQ's commitment to staying ahead of the [...]

Goldman Sachs reiterated a Buy rating and $35 price target on Chewy after the firm hosted CEO Sumit Singh at the Communacopia and Technology Conference. The firm said key takeaways [...]

Roche announced the expansion of its digital pathology open environment with the integration of more than 20 advanced artificial intelligence, or AI, algorithms from eight new collaborators. These strategic collaborations [...]

The growing use of artificial intelligence (AI) technologies has revolutionized quality control in manufacturing. As production processes grow increasingly complex, traditional inspection methods are struggling to keep pace. With its [...]

INTERNET BUSINESS NEWS-(C)1995-2024 M2 COMMUNICATIONS US-based government agency The National Institute of Standards and Technology has published the final version of FIPS 203 (ML-KEM), FIPS 204 (ML-DSA), and FIPS 205 [...]

The current technological transformation in accounting and taxation shows that 'companies have a large appetite for increasing complex analytics, even when they cannot adequately perform the basics' (EY.com, 'Solutions to [...]

Every academic field has its superstars. But a rare few achieve superstardom not just by demonstrating individual excellence but also by consistently producing future superstars. A notable example of such [...]

WORLDWIDE COMPUTER PRODUCTS NEWS-July 15, 2024-WiMi develops genetic algorithm-based consensus for blockchain (C)1995-2024 M2 COMMUNICATIONS http://www.m2.co.uk Hologram Augmented Reality (AR) technology company WiMi Hologram Cloud Inc (NASDAQ: WIMI) on Monday [...]

The aerospace industry is on a constant quest to adopt new technologies that offer competitive advantage and step-change capability. Artificial intelligence (AI) and machine learning (ML) approaches in additive manufacturing [...]

Entero Therapeutics announced a publication in Clinical Gastroenterology and Hepatology, a journal of the American Gastroenterological Association that publishes diagnostic and therapeutic advances in clinical gastroenterology. The new approach in [...]

Amazon has been accused of using 'intrusive algorithms' as part of its surveillance program to monitor and deter union organization, Michael Sainato of The Guardian reports. Workers at a warehouse [...]

Can you feel it? There is a revolution underway in the decorated-apparel industry. This isn't about artificial intelligence, or 'AI' taking anyone's jobs, but about harnessing today's latest tools to [...]

Supervised machine learning algorithms are trained on input data and the known results to find patterns to accurately make predictions. There is limited ability to overcome poor training data that [...]

Artificial Intelligence (AI) has been around for decades as another name for automation. It has aided the medical industry, the vehicle industry, and aviation industry, just to name a few. [...]

The integration and development of fashion products and intangible cultural heritage have gradually become the highlight of product design. Following thousands of years of evolution, bamboo weaving patterns offer a rich resource library for use by designers. However, the designers cannot predict which bamboo weaving pattern can be adopted into women's handbags to satisfy consumers' aesthetics. Therefore, taking the form design of women's handbags as an example, this study develops an artificial intelligence-based program through which consumers can codesign with designers to effectively match the bamboo weaving pattern with the design style of women's handbags. First, based on the coding, selection, and mutation processes of interactive genetic algorithms, consumer preferences, and perception evaluations are effectively incorporated into product design. This ensures that the evolved product solutions meet consumer preferences. Second, considering evaluator fatigue in human--computer interaction evaluation, the decision tree algorithm is used as a proxy for evaluation. Finally, the developed interactive system supports mass-generated bamboo-woven bags of different styles, allowing prediction of consumers' preferences for the design of women's handbags. Furthermore, the system can assist designers and bamboo craftsmen in designing other bamboo or wooden products., With the rapid development of society, science, and technology, the diversity of modern culture has compressed the living space of traditional handicraft culture, and numerous handicraft cultures with difficulties in [...]

Book https://www.panmacmillan.com/authors/madhumita-murgia/code-dependent/9788119300969 Madhumita Murgia(Picador) AI is already challenging our work and lives. A must-read book explores the human impact, finds Chris Stokel-Walker THE artificial intelligence revolution has overwhelmed us all [...]

“It’s been known since the 1990s that a large-scale quantum computer will be able to break many of the crypto systems we rely on for security,” says Dustin Moody, leader [...]

IN THE dystopia of George Orwell's novel '1984', Big Brother numbs the masses with the help of a 'versificator', a machine designed to automatically generate the lyrics to popular tunes, [...]

WORLDWIDE COMPUTER PRODUCTS NEWS-February 16, 2024-WiMi unveils MHConsensus blockchain algorithm for enhanced data management (C)1995-2024 M2 COMMUNICATIONS http://www.m2.co.uk Holographic products and services company WiMi Hologram Cloud Inc. (NASDAQ: WIMI) on [...]