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Screening tests are often used in medicine to assess whether a patient is at a high risk of contracting a disease. Recent literature has proposed prediction algorithms for Anterior Cruciate Ligament (ACL) retears that aim to achieve high accuracy. ...

The aim of this study was to develop an explainable machine learning model for predicting in-hospital mortality (IHF) in patients with ST-elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI). We analyzed data from ...

Vascular tortuosity is a prevalent morphological change that frequently occurs in arteries across different parts of the body.

To analyze the relationship between the tortuosities of the extracranial internal carotid artery (...

A particularity of intelligent recommender systems in the domain of medicine is the need to take into account a diversity of numerous features, and the limitation is conditioned by the need to control recommendations made by a physician. ...

The evaluation of new energy consumption capacity is of great significance in the development of sustainable energy. Based on wind power as the research object, this paper proposes a new energy absorption capacity evaluation model considering risk ...

Breast cancer is a worldwide public health problem, a disease that, although its risk factors are recognized by international health institutions, may vary from region to region. Knowing which risk factors are relevant for a certain type of ...

The construction industry is characterized by high occupational risks and a significant number of accidents, due to the complexity and interrelation of the activities performed by its workers and the lack of commitment on the part of construction ...

The unprecedented Coronavirus Disease 2019 had spread and diffused in many countries and regions worldwide, posing a serious threat to people's health and lives. This review presents a systematic analysis and summary of representative research on the ...

With advancing digitalization, mobile smart devices are becoming more common, supporting numerous work activities in various sectors. When using these digital devices, companies must be aware of work requirements and risk factors. Considering ...

Context: The main chronic diseases are heart disease, cancers, chronic respiratory diseases, and diabetes, and they are among the leading causes of death worldwide. Problem: Risk factors related to chronic diseases are correlated with people’s ...

The inverse problem algorithm (IPA) uses mathematical calculations to estimate the expectation value of a specific index according to patient risk factor groups. The contributions of particular risk factors or their ...

An under-examined determinant of information technology project success is the ability of project managers (PMs) to identify potential risks that could negatively impact a project. Through a quantitative survey of IT project managers and others involved ...

Road accidents are a major problem, the consequences of which have negative impacts on the economy, health and development of a country in general. The recrudescence of road accidents in Senegal during these last years has aroused a great debate in which ...

To capture the dynamics of idiosyncratic volatility of stock returns over different horizons and investigate the relationship between idiosyncratic volatility and expected stock returns, this paper develops and estimates a parsimonious model of ...

In a competitive manufacturing sector, many organisations have chosen to adopt enterprise resource planning (ERP) system to improve the business benefits but ERP implementation involves high risk and is expensive and complex. This research conceptualises ...

In this paper, the risk disclosure text information from the dual perspectives of bank managers and credit rating agencies is innovatively incorporated into the bank risk aggregation, which to some extent avoids the deviation of bank risk ...

Project portfolios represent the bridge between projects and strategy. However, the final results may not be as expected because materialization of risk factors. Hence, literature has acknowledged project portfolio risk assessment as an element of ...

This paper addressed the prediction of heart sicknesses from hazard elements through a decision-making tree. We introduced the facts mining technique in public fitness to extract high-degree knowledge from raw data, which facilitates predicting heart ...

Agricultural industrialization is a major reform and practice in the process of agricultural development and requires theoretical guidance. However, the current theoretical research on financial support for the development of agricultural ...

The financial supply chain is affected by many factors, so an artificial intelligence model is needed to identify supply chain risk factors. This article combines the actual situation of the financial supply chain, improves the traditional machine ...