Business analytics and decision science: A review of techniques in strategic business decision making

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(2), P. 1761 - 1769

Published: Feb. 28, 2024

Business analytics and decision science have emerged as pivotal domains in enhancing strategic business decision-making processes. This review delves into various techniques that organizations employ to optimize their operations achieve competitive advantages. At the forefront of is data analytics, where vast amounts are analyzed extract valuable insights. Descriptive provides a historical perspective by examining past trends, enabling businesses understand performance over time. retrospective analysis serves foundation for predictive which utilizes statistical models machine learning algorithms forecast future trends outcomes. By leveraging can anticipate market shifts, customer preferences, potential risks, thereby making informed decisions. Prescriptive uses guide decision-making, utilizing optimization simulation tools identify optimal actions. Decision integrates analytical with human judgment, focusing on consumer behavior psychological factors tailor marketing strategies product offerings. Additionally, artificial intelligence (AI) (ML) technologies revolutionizing automating complex tasks providing real-time Natural language processing (NLP) analyze unstructured sources, such reviews social media posts, information sentiment analysis. enables gauge satisfaction levels areas improvement promptly. trees, regression analysis, clustering widely used segment customers, patterns, sales evaluate alternatives, assess resource allocation. In conclusion, offer plethora empower make informed, data-driven descriptive, predictive, prescriptive along AI ML technologies, navigate environments, capitalize opportunities, mitigate risks effectively. underscores importance integrating expertise objectives sustainable growth.

Language: Английский

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Biomedical engineering advances: A review of innovations in healthcare and patient outcomes

International Journal of Science and Research Archive, Journal Year: 2024, Volume and Issue: 11(1), P. 870 - 882

Published: Jan. 30, 2024

Engineering has emerged as a dynamic and transformative field, driving revolutionary changes in healthcare significantly impacting patient outcomes. This review explores recent advances biomedical engineering, highlighting key innovations that have reshaped the landscape of medical care. The convergence engineering principles with biological sciences led to development cutting-edge technologies novel solutions, ushering new era personalized precision medicine. begins by examining breakthroughs imaging, focusing on advancements high-resolution imaging modalities, such magnetic resonance (MRI), computed tomography (CT), positron emission (PET). These enable clinicians obtain detailed anatomical functional information, facilitating early disease detection accurate diagnosis. integration artificial intelligence (AI) machine learning (ML) into played pivotal role enhancing diagnostic accuracy, treatment planning, prognosis prediction. Smart algorithms analyze vast datasets, aiding identification patterns correlations may go unnoticed human observers. synergy between AI expedited decision-making processes, leading more efficient interventions. In realm devices, significant strides been made implantable wearable technologies. Miniaturized sensors biocompatible materials paved way for creation smart devices capable monitoring physiological parameters real-time. not only provide continuous health but also empower patients actively participate their care, promoting preventive measures lifestyle modifications. Advancements regenerative medicine tissue opened avenues degenerative diseases organ failure. Scaffold-based cell-based therapies hold promise repairing regenerating damaged tissues, offering hope conditions were once considered untreatable.

Language: Английский

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Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: 31(6), P. 3267 - 3301

Published: Feb. 19, 2024

Language: Английский

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Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques

BMC Medical Informatics and Decision Making, Journal Year: 2024, Volume and Issue: 24(1)

Published: May 27, 2024

Abstract Lung cancer remains a leading cause of cancer-related mortality globally, with prognosis significantly dependent on early-stage detection. Traditional diagnostic methods, though effective, often face challenges regarding accuracy, early detection, and scalability, being invasive, time-consuming, prone to ambiguous interpretations. This study proposes an advanced machine learning model designed enhance lung stage classification using CT scan images, aiming overcome these limitations by offering faster, non-invasive, reliable tool. Utilizing the IQ-OTHNCCD dataset, comprising scans from various stages healthy individuals, we performed extensive preprocessing including resizing, normalization, Gaussian blurring. A Convolutional Neural Network (CNN) was then trained this preprocessed data, class imbalance addressed Synthetic Minority Over-sampling Technique (SMOTE). The model’s performance evaluated through metrics such as precision, recall, F1-score, ROC curve analysis. results demonstrated accuracy 99.64%, F1-score values exceeding 98% across all categories. SMOTE enhanced ability classify underrepresented classes, contributing robustness These findings underscore potential in transforming diagnostics, providing high classification, which could facilitate detection tailored treatment strategies, ultimately improving patient outcomes.

Language: Английский

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Fibrosis: cross-organ biology and pathways to development of innovative drugs

Nature Reviews Drug Discovery, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Language: Английский

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Recent advances in mass spectrometry for the detection of doping

Expert Review of Proteomics, Journal Year: 2024, Volume and Issue: 21(1-3), P. 27 - 39

Published: Jan. 12, 2024

Introduction The analysis of doping control samples is preferably performed by mass spectrometry, because obtained results meet the highest analytical standards and ensure an impressive degree reliability. advancement in spectrometry all its associated technologies thus allow for continuous improvements analysis.

Language: Английский

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Industry 4.0

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 342 - 405

Published: Jan. 19, 2024

The advent of Industry 4.0, characterized by the integration digital technologies into industrial processes, has ushered in a transformative era for manufacturing and beyond. This chapter delves future trends research directions that will shape landscape 4.0 coming years. One prominent trend is continued proliferation internet things (IoT) its convergence with artificial intelligence (AI). As IoT devices become more interconnected intelligent, they enable real-time data analysis, predictive maintenance, adaptive manufacturing, fostering increased efficiency cost-effectiveness across industries. Moreover, rise edge computing set to redefine processing analytics. deployment powerful resources closer source promises reduced latency enhanced decision-making capabilities, particularly critical applications like autonomous remote robotics.

Language: Английский

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The Unveiled Triad: Clinical, Radiological and Pathological Insights into Hypersensitivity Pneumonitis

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(3), P. 797 - 797

Published: Jan. 30, 2024

Hypersensitivity pneumonitis (HP) is a diffuse parenchymal lung disease (DLPD) characterized by complex interstitial damage with polymorphic and protean inflammatory aspects affecting tissue targets including small airways, the interstitium, alveolar compartments vascular structures. HP shares clinical often radiological features other diseases in acute or chronic forms. In its natural temporal evolution, if specific therapy not initiated promptly, leads to progressive fibrotic reduced volumes impaired gas exchange. The prevalence of varies considerably worldwide, influenced factors like imprecise classification, diagnostic method limitations for obtaining confident diagnosis, correct processing high-resolution computed tomography (HRCT) parameters, unreliable medical history, diverse geographical conditions, heterogeneous agricultural industrial practices occasionally ineffective individual protections regarding occupational exposures host risk factors. aim this review present an accurate detailed 360-degree analysis considering HRCT patterns role broncho-alveolar lavage (BAL), without neglecting biopsy anatomopathological future technological developments that could make diagnosis less challenging.

Language: Английский

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Potential strength and weakness of artificial intelligence integration in emergency radiology: a review of diagnostic utilizations and applications in patient care optimization

Emergency Radiology, Journal Year: 2024, Volume and Issue: 31(6), P. 887 - 901

Published: Aug. 27, 2024

Language: Английский

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Pulmonary fibrosis: pathogenesis and therapeutic strategies

MedComm, Journal Year: 2024, Volume and Issue: 5(10)

Published: Sept. 23, 2024

Abstract Pulmonary fibrosis (PF) is a chronic and progressive lung disease characterized by extensive alterations of cellular fate function excessive accumulation extracellular matrix, leading to tissue scarring impaired respiratory function. Although our understanding its pathogenesis has increased, effective treatments remain scarce, fibrotic progression major cause mortality. Recent research identified various etiological factors, including genetic predispositions, environmental exposures, lifestyle which contribute the onset PF. Nonetheless, precise mechanisms these factors interact drive are not yet fully elucidated. This review thoroughly examines diverse molecular mechanisms, key signaling pathways involved in PF, such as TGF‐β, WNT/β‐catenin, PI3K/Akt/mTOR. It also discusses current therapeutic strategies, antifibrotic agents like pirfenidone nintedanib, explores emerging targeting senescence. Emphasizing need for omni‐target approaches overcome limitations therapies, this integrates recent findings enhance PF development more prevention management ultimately improving patient outcomes.

Language: Английский

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