Search Results

Early identification of autism spectrum disorder based on machine learning with eye-tracking data.

• Authors : Wei Q; Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China; College of Medical Informatics, Medical Data Science Academy, Chongqing Engineering Research Center for Clinical Big-data and Drug Evaluation, Chongqing Medical University, Chongqing, China.

Subjects: Autism Spectrum Disorder*/Autism Spectrum Disorder*/Autism Spectrum Disorder*/diagnosis ; Autism Spectrum Disorder*/Autism Spectrum Disorder*/Autism Spectrum Disorder*/physiopathology ; Machine Learning*

• Source: Journal of affective disorders [J Affect Disord] 2024 Aug 01; Vol. 358, pp. 326-334. Date of Electronic Publication: 2024 Apr 12.Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium:

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Understanding the phytotoxic effects of organic contaminants on rice through predictive modeling with molecular descriptors: A data-driven analysis.

• Authors : Wang S; College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Hangzhou, Zhejiang 310058, China.

Subjects: Oryza*/Oryza*/Oryza*/drug effects ; Oryza*/Oryza*/Oryza*/growth & development ; Machine Learning*

• Source: Journal of hazardous materials [J Hazard Mater] 2024 Sep 05; Vol. 476, pp. 134953. Date of Electronic Publication: 2024 Jun 17.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9422688 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Machine Learning Methods Based on CT Features Differentiate G1/G2 From G3 Pancreatic Neuroendocrine Tumors.

• Authors : Chen HY; Department of Radiology, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou 310022, Zhejiang, China (H.-Y.C., J.-Y.C., L.-L.L., Y.-B.Y., K.L., Q.M., L.S.).; Pan Y

Subjects: Pancreatic Neoplasms*/Pancreatic Neoplasms*/Pancreatic Neoplasms*/diagnostic imaging ; Machine Learning* ; Neuroendocrine Tumors*/Neuroendocrine Tumors*/Neuroendocrine Tumors*/diagnostic imaging

• Source: Academic radiology [Acad Radiol] 2024 May; Vol. 31 (5), pp. 1898-1905. Date of Electronic Publication: 2023 Dec 04.Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium:

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Multiple sequence alignment-based RNA language model and its application to structural inference.

• Authors : Zhang Y; School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China.; AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzen 518055, China.

Subjects: RNA*/RNA*/RNA*/chemistry ; Sequence Alignment* ; Machine Learning*

• Source: Nucleic acids research [Nucleic Acids Res] 2024 Jan 11; Vol. 52 (1), pp. e3.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN:

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Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

• Authors : Wu YT; International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.

Subjects: Machine Learning* ; Models, Statistical*; Diabetes, Gestational/Diabetes, Gestational/Diabetes, Gestational/*diagnosis

• Source: The Journal of clinical endocrinology and metabolism [J Clin Endocrinol Metab] 2021 Mar 08; Vol. 106 (3), pp. e1191-e1205.Publisher: Oxford University Press Country of Publication: United States NLM ID: 0375362 Publication Model: Print Cited Medium: Internet ISSN:

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Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

• Authors : Hu Y; Department of Radiotherapy, Hunan Cancer Hospital and the Affliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan, China.; Guo G

Subjects: Gene Regulatory Networks* ; Machine Learning*; Biomarkers, Tumor/Biomarkers, Tumor/Biomarkers, Tumor/*genetics

• Source: Cancer biomarkers : section A of Disease markers [Cancer Biomark] 2020; Vol. 27 (2), pp. 195-206.Publisher: IOS Press Country of Publication: Netherlands NLM ID: 101256509 Publication Model: Print Cited Medium: Internet ISSN: 1875-8592

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Preoperative Prediction of Pancreatic Neuroendocrine Neoplasms Grading Based on Enhanced Computed Tomography Imaging: Validation of Deep Learning with a Convolutional Neural Network.

• Authors : Luo Y; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.; Chen X

Subjects: Machine Learning* ; Neural Networks, Computer* ; Tomography, Spiral Computed*

• Source: Neuroendocrinology [Neuroendocrinology] 2020; Vol. 110 (5), pp. 338-350. Date of Electronic Publication: 2019 Sep 13.Publisher: Karger Country of Publication: Switzerland NLM ID: 0035665 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1423-0194

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A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide.

• Authors : Chen J; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Postbus 80125, 3508 TC, Utrecht, the Netherlands. Electronic address: .; de Hoogh K

Subjects: Linear Models* ; Machine Learning*; Air Pollutants/Air Pollutants/Air Pollutants/*analysis

• Source: Environment international [Environ Int] 2019 Sep; Vol. 130, pp. 104934. Date of Electronic Publication: 2019 Jun 20.Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Agricola

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Agricola

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