A fuzzy ontology-based case-based reasoning system for stomach dystemperament in Persian medicine.

Autor: Shojaee-Mend H; Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran., Ayatollahi H; Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran., Abdolahadi A; Department of Complementary Medicine, Research Institute for Islamic and Complementary Medicine, Iran University of Medical Sciences, Tehran, Iran.

Publikováno v: PloS one [PLoS One] 2024 Oct 24; Vol. 19 (10), pp. e0309722. Date of Electronic Publication: 2024 Oct 24 (Print Publication: 2024).

Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study.

Autor: Shojaee-Mend H; Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran., Velayati F; Telemedicine Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tayefi B; Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Department of Community and Family Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran., Babaee E; Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Department of Community and Family Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.; Vaccine Research Center, Iran University of Medical Sciences, Tehran, Iran.

Publikováno v: Healthcare informatics research [Healthc Inform Res] 2024 Jan; Vol. 30 (1), pp. 73-82. Date of Electronic Publication: 2024 Jan 31.

The Effects of WW2/WW3 Domains of Smurf2 Molecule on CD4+CD25+/CD4+ Proportion in Spleen of 4T1 Tumor Bearing BALB/c Mice.

Autor: Mosayebzadeh Roshan H; Department of Basic Sciences, Faculty of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran., Abtahi-Eivary SH; Department of Medical Laboratory Sciences, Faculty of Paramedical Sciences, Gonabad University of Medical Sciences, Gonabad, Iran., Shojaee-Mend H; Department of Basic Sciences, Faculty of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran., Mohammadzadeh A; Department of Medical Laboratory Sciences, Faculty of Paramedical Sciences, Gonabad University of Medical Sciences, Gonabad, Iran., Bahari Sani Z; Department of Medical Laboratory Sciences, Faculty of Paramedical Sciences, Gonabad University of Medical Sciences, Gonabad, Iran.

Publikováno v: Iranian biomedical journal [Iran Biomed J] 2020 Jul; Vol. 24 (4), pp. 214-9. Date of Electronic Publication: 2020 Feb 10.

Machine Learning Approach to Metabolomic Data Predicts Type 2 Diabetes Mellitus Incidence.

Autor: Leiherer, Andreas^1,2,3 (AUTHOR) axel.muendlein@vivit.at, Muendlein, Axel¹ (AUTHOR) arthur.mader@lkhf.at, Mink, Sylvia^2,3 (AUTHOR) pfraunberger@mzl.at, Mader, Arthur^1,4 (AUTHOR) christoph.saely@vivit.at, Saely, Christoph H.^1,3,4 (AUTHOR) anderasfesta@icloud.com, Festa, Andreas¹ (AUTHOR) heinz.drexel@vivit.at, Fraunberger, Peter^2,3 (AUTHOR), Drexel, Heinz^1,3,5,6 (AUTHOR)

Publikováno v: International Journal of Molecular Sciences. May2024, Vol. 25 Issue 10, p5331. 14p.

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