Identifying opioid agonist treatment prescriber networks from health administrative data: A validation study. by Megan Kurz, Mark Tatangelo, Kristen A Morin, Michelle Zanette, Emanuel Krebs, David C Marsh, Bohdan Nosyk

“…The three different detection algorithms had wide variation in concordance, with ranges on sensitivity from 0.02 to 0.88 and PPV from 0.06 to 0.97. …”
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Comparative Analysis of Single‐ and Dual‐Marker Strategies for Rapid Non–ST‐Segment–Elevation Myocardial Infarction Rule‐Out Using Cardiac Myosin‐Binding Protein C, Copeptin, and H... by Mustafa Yildirim, Christian Salbach, Matthias Mueller‐Hennessen, Norbert Frey, Evangelos Giannitsis

“…DMS protocols showed negative predictive values of 99.1% to 100%, comparable with the European Society of Cardiology algorithms (99.3%–100%). …”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…The diagnostic accuracy was 90.58%, with an overall positive predictive value of 89% and an overall negative predictive value of 86%. The algorithm effectively handled the CT images at the preprocessing stage, and the deep learning model performed well in detecting and classifying nodules. …”
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High-Throughput cDNA Screening Utilizing a Low Order Neural Network Filter by Guyang Matthew Huang, James Farkas, Leroy Hood

“…The filter was applied to a library of 2123 anonymous cDNA sequences, which resulted in 61 detections. Evaluation of the detections with two other dissimilar computer prediction algorithms yielded strong transmembrane predictions for 15 of the detections, while 8 of the detections resulted in a definitive negative result. …”
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Advancing Breast Cancer Diagnosis: A Comprehensive Machine Learning Approach for Predicting Malignant and Benign Cases with Precision and Insight in a Neutrosophic Environment usin... by Nihar Ranjan Panda, R. Rajalakshmi, Surapati Pramanik, Mana Donganont, Prasanta Kumar Raut

“…Four top machine learning algorithms are trained and evaluated with a series of performance measures such as accuracy, positive predictive value (PPV), negative predictive value (NPV), F1-score, etc. …”
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The Necessity of CT Hip Scans in the Investigation of Occult Hip Fractures and Their Effect on Patient Management by Thomas Gatt, Daniel Cutajar, Lara Borg, Ryan Giordmaina

“…The diagnostic challenge of negative plain radiography in the context of a previously ambulatory patient is increasing with the rise in geriatric trauma. …”
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Monitoring of the state of electromagnetic fuel injectors of gasoline engines with distributed fuel injection systems by G. N. Votinov, D. V. Maltsev, D. S. Repetsky

“…There is a successful experience of implementing such algorithms on modern cars. The implementation of the research results will allow timely detection of faulty (contaminated) electromagnetic injectors and prevent negative effects on both engine parts and the environment.…”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…<b>Results:</b> This study assessed the performance of dimensionality reduction and classification algorithms in distinguishing COVID-19-negative and COVID-19-positive cases using radiomics data from brain MR scans. …”
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Modeling Estuarine Algal Bloom Dynamics with Satellite Data and Spectral Index-Based Classification by Mayya Podsosonnaya, Maria J. Schreider, Sergei Schreider

“…The Floating Algae Index (FAI) was identified as the most accurate index for detecting algal blooms in shallow areas, following a comparative analysis of six commonly used algae detection indices. …”
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Explainable Machine Learning Models for Colorectal Cancer Prediction Using Clinical Laboratory Data by Rui Li MS, Xiaoyan Hao MS, Yanjun Diao MD, Liu Yang MS, Jiayun Liu MD

“…This model could also identify CEA-negative or FOBT-negative CRC patients. Incorporating stool miR-92a detection into the model further improved diagnostic performance. …”
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Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach by Mariani Mariani, Dwi Shinta Angreni, Sri Khaerawati Nur, Rinianty Rinianty, Deni Luvi Jayanto

“…The analysis revealed a distribution of sentiments where 36.1% of comments were positive, 33.4% negative, and 30.5% neutral. These findings illustrate the complexities of public discourse surrounding key political events, highlighting the model's efficacy and the nuances of sentiment detection. …”
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Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography by Yujie Ma, Maged Ali Al-Aroomi, Yutian Zheng, Wenjie Ren, Peixuan Liu, Qing Wu, Ye Liang, Canhua Jiang

“…This study evaluates the efficacy of deep learning algorithms for detecting and diagnosing dental caries using cone-beam computed tomography (CBCT) with the Mask R-CNN architecture while comparing various hyperparameters to enhance detection. …”
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APPLICATION OF LINEAR AND NONLINEAR EXTRAPOLATIONS IN ANALYZING THE TRENDS OF CHANGES IN FINANCIAL STABILITY by EVGENY Negashev

“…The article offers several algorithms based on application of linear and non-linear extrapolation of financial indicators depending on the amount of the information used for analysis.The practical significance of the proposed algorithms is related to their applicability to estimate the period of time during which the action of negative trends may lead to the crisis in the financial position of a company. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…Additionally, a decision tree model based on the CART algorithm was designed, which significantly improved the accuracy of identifying encrypted and compressed traffic and greatly reduced the false negative rate for encrypted traffic identification. …”
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Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET) by Sergio Arce-García, Virginia Martin-Jiménez, Leticia Rodríguez-Fernández

“…We analysed nearly half a million messages posted between 31 December 2021 and 19 April 2023, using hate speech detection algorithms, text mining techniques, and qualitative analysis to identify patterns and themes in the discourse. …”
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Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning by Jusman Yessi, Maulana Alfinto, Lubis Julnila Husna

“…These diseases are caused by mushrooms, bacteria, viruses, and pests that can spread rapidly and damage the leaves. Therefore, early detection of oil palm leaf disease plays a crucial role in reducing the negative impact on crops and significant economic losses. …”
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An economic value of the glycated hemoglobin test in diabetes mellitus type 2 diagnosis by Marina V. Shestakova, Alexey S. Kolbin, Oleg I. Karpov, Gagik R. Galstyan, Alexander Y. Mayorov, Maria A. Arepeva, Aleksey A. Kurylev, Maxim A. Proskurin

“…Amount of false negative results in FBG test in 3 times more often occurred in comparison with HbA1c. …”
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Challenges and opportunities for precision livestock farming applications in the rabbit production sector by Tomás Norton, María Cambra-López

“…When considering the future impact of PLF, early disease detection probably offers the highest potential for rabbit production. …”
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Limitations of using artificial intelligence services to analyze chest x-ray imaging by Yuriy A. Vasilev, Anton V. Vladzymyrskyy, Kirill M. Arzamasov, Igor M. Shulkin, Elena V. Astapenko, Lev D. Pestrenin

“…RESULTS: Of the 155 analyzed difference cases, 48 (31.0%) were false-positive and 78 (50.3%) were false-negative cases. The remaining 29 (18.7%) cases were removed from further studies because they were true positive (27) or true negative (2) in the expert review. …”
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Prediction on rock strength by mineral composition from machine learning of ECS logs by Dongwen Li, Xinlong Li, Li Liu, Wenhao He, Yongxin Li, Shuowen Li, Huaizhong Shi, Gaojian Fan

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