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Academic Journal

Analysis and evaluation of explainable artificial intelligence on suicide risk assessment.

  • Authors : Tang H; Department of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia.; Miri Rekavandi A

Subjects: Artificial Intelligence* ; Suicide*; Humans

  • Source: Scientific reports [Sci Rep] 2024 Mar 14; Vol. 14 (1), pp. 6163. Date of Electronic Publication: 2024 Mar 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Identification and interpretation of gait analysis features and foot conditions by explainable AI.

Subjects: Artificial Intelligence* ; Gait Analysis*; Algorithms

  • Source: Scientific reports [Sci Rep] 2024 Mar 12; Vol. 14 (1), pp. 5998. Date of Electronic Publication: 2024 Mar 12.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Migraine headache (MH) classification using machine learning methods with data augmentation.

  • Authors : Khan L; Department of Computer Science, Ibadat International University Islamabad Pakpattan Campus, Pakpattan, Pakistan.; Shahreen M

Subjects: Artificial Intelligence* ; Migraine Disorders*/Migraine Disorders*/Migraine Disorders*/diagnosis; Humans

  • Source: Scientific reports [Sci Rep] 2024 Mar 02; Vol. 14 (1), pp. 5180. Date of Electronic Publication: 2024 Mar 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Investigation on explainable machine learning models to predict chronic kidney diseases.

  • Authors : Ghosh SK; Department of Biomedical Engineering & Biotechnology, Khalifa University, Abu Dhabi, United Arab Emirates. .; Khandoker AH

Subjects: Artificial Intelligence* ; Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/diagnosis ; Oxides*

  • Source: Scientific reports [Sci Rep] 2024 Feb 14; Vol. 14 (1), pp. 3687. Date of Electronic Publication: 2024 Feb 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning.

  • Authors : Lee YH; Department of Orofacial Pain and Oral Medicine, Kyung Hee University Dental Hospital, #613 Hoegi-dong, Dongdaemun-gu, Seoul, 02447, Korea. .; Won JH

Subjects: Artificial Intelligence* ; Xerostomia*/Xerostomia*/Xerostomia*/diagnosis ; Xerostomia*/Xerostomia*/Xerostomia*/etiology

  • Source: Scientific reports [Sci Rep] 2024 Feb 10; Vol. 14 (1), pp. 3423. Date of Electronic Publication: 2024 Feb 10.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

An artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes.

  • Authors : Chung TK; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.; Gueldner PH

Subjects: Artificial Intelligence* ; Aortic Aneurysm, Abdominal*/Aortic Aneurysm, Abdominal*/Aortic Aneurysm, Abdominal*/diagnostic imaging; Humans

  • Source: Scientific reports [Sci Rep] 2024 Feb 09; Vol. 14 (1), pp. 3390. Date of Electronic Publication: 2024 Feb 09.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Divorce prediction using machine learning algorithms in Ha'il region, KSA.

  • Authors : Moumen A; Department of Mathematics, College of Science, University of Ha'il, Ha'il, 55473, Saudi Arabia. .; Shafqat A

Subjects: Artificial Intelligence* ; Divorce*; Humans

  • Source: Scientific reports [Sci Rep] 2024 Jan 04; Vol. 14 (1), pp. 502. Date of Electronic Publication: 2024 Jan 04.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine.

  • Authors : DeGroat W; Health Care Policy and Aging Research, Rutgers Institute for Health, Rutgers University, 112 Paterson St, New Brunswick, NJ, 08901, USA.; Abdelhalim H

Subjects: Artificial Intelligence* ; Cardiovascular Diseases*/Cardiovascular Diseases*/Cardiovascular Diseases*/diagnosis ; Cardiovascular Diseases*/Cardiovascular Diseases*/Cardiovascular Diseases*/genetics

  • Source: Scientific reports [Sci Rep] 2024 Jan 02; Vol. 14 (1), pp. 1. Date of Electronic Publication: 2024 Jan 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

A performance evaluation of drug response prediction models for individual drugs.

  • Authors : Park A; Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon, 21999, Republic of Korea.; Lee Y

Subjects: Artificial Intelligence* ; Machine Learning*; Panobinostat

  • Source: Scientific reports [Sci Rep] 2023 Jul 24; Vol. 13 (1), pp. 11911. Date of Electronic Publication: 2023 Jul 24.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-AI.

  • Authors : Auletta F; School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.; Department of Engineering Mathematics, University of Bristol, Bristol, UK.

Subjects: Artificial Intelligence* ; Supervised Machine Learning*; Humans

  • Source: Scientific reports [Sci Rep] 2023 Mar 27; Vol. 13 (1), pp. 4992. Date of Electronic Publication: 2023 Mar 27.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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  • 1-10 of  1,513 results for ""Machine learning""