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Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.

• Authors : Kabir MH; Department of Electrical and Computer Engineering, University of Alberta, 11-263 Donadeo Innovation Centre for Engineering, 9211-116 St, Edmonton, AB, T6G 1H9, Canada.; Reformat M

Subjects: Scoliosis*/Scoliosis*/Scoliosis*/diagnostic imaging ; Machine Learning*; Humans

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2025 Jan; Vol. 63 (1), pp. 101-110. Date of Electronic Publication: 2024 Aug 16.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium:

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Analysis of decarbonization path in New York state and forecasting carbon emissions using different machine learning algorithms

• Authors : Glukhova Ekaterina; Jia Li

Subjects: Machine learning algorithms; Forecasting; Extreme Learning Machine

• Source: Carbon Neutrality, Vol 3, Iss 1, Pp 1-20 (2024)

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Soil Organic Carbon Fractionation Assessment in Areas with High Fire Activity Using Diffuse Spectroscopy and Tree-Based Machine Learning Algorithms

• Authors : Salgado, Lorena; Forján, Rubén; Rodríguez Pérez, José Ramón ...

Subjects: Ecología. Medio ambiente; NIR Region; Quantile Random Forest

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Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.

• Authors : Kozaklı Ö; Department of Animal Production and Technologies, Faculty of Agricultural Sciences and Technologies, Niğde Ömer Halisdemir University, Niğde, 51240, Turkey. .; Ceyhan A

Subjects: Machine Learning* ; Body Weight* ; Sheep, Domestic*/Sheep, Domestic*/Sheep, Domestic*/physiology

• Source: Tropical animal health and production [Trop Anim Health Prod] 2024 Sep 03; Vol. 56 (7), pp. 250. Date of Electronic Publication: 2024 Sep 03.Publisher: Springer Country of Publication: United States NLM ID: 1277355 Publication Model: Electronic Cited Medium:

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BraNet: a mobil application for breast image classification based on deep learning algorithms.

• Authors : Jiménez-Gaona Y; Departamento de Química y Ciencias Exactas, Universidad Técnica Particular de Loja, San Cayetano Alto s/n CP1101608, Loja, Ecuador. .; Instituto de Instrumentación para la Imagen Molecular I3M, Universitat Politécnica de Valencia, 46022, Valencia, Spain. .

Subjects: Deep Learning* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Mammography*/Mammography*/Mammography*/methods

• Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Sep; Vol. 62 (9), pp. 2737-2756. Date of Electronic Publication: 2024 May 02.Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium:

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Identification of Co-diagnostic Genes for Heart Failure and Hepatocellular Carcinoma Through WGCNA and Machine Learning Algorithms.

• Authors : Cao L; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.; University of Shanghai for Science and Technology, Shanghai, 200093, China.

Subjects: Carcinoma, Hepatocellular*/Carcinoma, Hepatocellular*/Carcinoma, Hepatocellular*/genetics ; Liver Neoplasms*/Liver Neoplasms*/Liver Neoplasms*/genetics ; Machine Learning*

• Source: Molecular biotechnology [Mol Biotechnol] 2024 May; Vol. 66 (5), pp. 1229-1245. Date of Electronic Publication: 2024 Jan 18.Publisher: Springer Country of Publication: Switzerland NLM ID: 9423533 Publication Model: Print-Electronic Cited Medium:

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Utilizing machine learning algorithms for predicting risk factors for bone metastasis from right-sided colon carcinoma after complete mesocolic excision: a 10-year retrospective multicenter study

• Authors : Yuan Liu; Yuankun Liu; Shuting Wang

Subjects: Colonic neoplasms; Bone metastasis; Prognosis

• Source: Discover Oncology, Vol 15, Iss 1, Pp 1-16 (2024)

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Fundamental machine learning algorithms and statistical models applied in strength prediction of geopolymers: a systematic review

• Authors : Jabulani Matsimbe; Megersa Dinka; David Olukanni

Subjects: Compressive strength; Geopolymer; Regression modeling

• Source: Discover Applied Sciences, Vol 6, Iss 10, Pp 1-21 (2024)

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Detecting SQL Injection Attacks by Binary Gray Wolf Optimizer and Machine Learning Algorithms

• Authors : Arasteh, Bahman; Aghaei, Babak; Farzad, Behnoud ...

Subjects: Software security; SQL injection attacks; Artificial neural network

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Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study

• Authors : Alice Villar; Carolina Robledo Velini de Andrade

Subjects: Dropout prediction; Supervised classification algorithms; Unsupervised classification algorithms

• Source: Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-24 (2024)

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