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  • 1-10 ل  10,403 نتائج ل ""Machine Learning""

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Publisher : nature publishing group
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Academic Journal

An empirical study of machine learning robustness and scalability for imbalanced tabular clinical data in emergency and critical care.

  • Authors : Brima Y; Computer Vision Group, Institute of Cognitive Science, Osnabrück University, D-49090, Osnabrueck, Germany. .; Atemkeng M

Subjects: Critical Care*/Critical Care*/Critical Care*/methods ; Machine Learning*; Humans

  • Source: Scientific reports [Sci Rep] 2026 Jun 10; Vol. 16 (1). Date of Electronic Publication: 2026 Jun 10.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

An explainable machine learning approach to predict fragility fractures and the identification of important features.

  • Authors : Borhan S; Department of Health Research Methods, Evidence, and Impact, McMaster University, Martha Wing, H321, 50 Charlton Avenue East, Hamilton, ON, L8N 1Y3, Canada. .; Research Methodology Centre, Research Institute of St Joseph's Healthcare Hamilton, Hamilton, ON, Canada. .

Subjects: Osteoporotic Fractures*/Osteoporotic Fractures*/Osteoporotic Fractures*/epidemiology ; Osteoporotic Fractures*/Osteoporotic Fractures*/Osteoporotic Fractures*/diagnosis ; Machine Learning*

  • Source: Scientific reports [Sci Rep] 2026 Jun 02; Vol. 16 (1). Date of Electronic Publication: 2026 Jun 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Predicting camouflage treatment outcomes in skeletal class III malocclusion using machine learning.

  • Authors : Koh J; Department of Orthodontics, Institute of Oral Health Science, Ajou University School of Medicine, 164, World cup-ro, Yeongtong-Gu, Suwon, 16499, Republic of Korea.; Kim YH

Subjects: Malocclusion, Angle Class III*/Malocclusion, Angle Class III*/Malocclusion, Angle Class III*/therapy ; Machine Learning*; Humans

  • Source: Scientific reports [Sci Rep] 2026 Feb 16; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 16.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Comparative study on predicting postoperative distant metastasis of lung cancer based on machine learning models.

  • Authors : Guo X; Department of Oncology, The Third People's Hospital of Kunming, Kunming, 650041, China.; Xu T

Subjects: Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/pathology ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/surgery ; Machine Learning*

  • Source: Scientific reports [Sci Rep] 2026 Jan 28; Vol. 16 (1), pp. 6468. Date of Electronic Publication: 2026 Jan 28.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Selective classification with machine learning uncertainty estimates improves ACS prediction: a retrospective study in the prehospital setting.

  • Authors : Garcia JJ; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, 27514, USA. .; Kitzmiller R

Subjects: Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/diagnosis ; Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/classification ; Emergency Medical Services*/Emergency Medical Services*/Emergency Medical Services*/methods

  • Source: Scientific reports [Sci Rep] 2026 Jan 08; Vol. 16 (1), pp. 913. Date of Electronic Publication: 2026 Jan 08.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region.

  • Authors : Kasim S; Cardiovascular Advancement and Research Excellence Institute (CARE Institute), Universiti Teknologi MARA, Selangor, Malaysia. .; Cardiology, Faculty of Medicine, Universiti Teknologi Mara (UiTM), Shah Alam, Malaysia. .

Subjects: Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/mortality ; Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/etiology ; Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/chemically induced

  • Source: Scientific reports [Sci Rep] 2026 Jan 27; Vol. 16 (1), pp. 3486. Date of Electronic Publication: 2026 Jan 27.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Pediatric diabetes prediction using machine learning.

Subjects: Diabetes Mellitus*/Diabetes Mellitus*/Diabetes Mellitus*/diagnosis ; Diabetes Mellitus*/Diabetes Mellitus*/Diabetes Mellitus*/epidemiology ; Machine Learning*

  • Source: Scientific reports [Sci Rep] 2026 Jan 15; Vol. 16 (1), pp. 1979. Date of Electronic Publication: 2026 Jan 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Machine learning prediction of live birth after IVF using the morphological uterus sonographic assessment group features of adenomyosis

Subjects: Medical and Health Sciences; Clinical Medicine; Gynaecology

  • Source: Scientific Reports. 16

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Academic Journal

Building and validating machine learning models to predict appendiceal perforation during conservative treatment of fecalith-associated appendicitis: a 20-algorithm multicenter retrospective analysis.

  • Authors : Zhu Y; Department of Gastrointestinal Surgery, Xuzhou Central Hospital, Southeast University, Xuzhou, 221000, Jiangsu Province, China.; Feng J

Subjects: Appendicitis*/Appendicitis*/Appendicitis*/therapy ; Appendicitis*/Appendicitis*/Appendicitis*/etiology ; Appendicitis*/Appendicitis*/Appendicitis*/diagnosis

  • Source: Scientific reports [Sci Rep] 2026 Apr 06; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 06.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

A comparative evaluation of multiple machine learning approaches for forecasting dengue outbreaks in Bangladesh.

  • Authors : Liu B; Division of Computing, Analytics, and Mathematics, Department of Mathematics and Statistics, School of Science and Engineering, University of Missouri - Kansas City, Kansas, MO, 64110, USA.; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV, USA.

Subjects: Dengue*/Dengue*/Dengue*/epidemiology ; Machine Learning* ; Algorithms*

  • Source: Scientific reports [Sci Rep] 2025 Oct 14; Vol. 15 (1), pp. 35931. Date of Electronic Publication: 2025 Oct 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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  • 1-10 ل  10,403 نتائج ل ""Machine Learning""