المؤلفون: Zobiakhlui Chhakchhuak, Rakesh Kumar Mahajan

المصدر: Journal of Clinical and Diagnostic Research, Vol 17, Iss 10, Pp 20-23 (2023)

مصطلحات موضوعية: abscess, anatomical sites, metronidazole, species, Medicine

وصف الملف: electronic resource

العلاقة: https://www.jcdr.net/articles/PDF/18608/65429_CETest[Ra1]_F(IS)_QC(SHEE_IS)_PF1(AG_SL)_PFA(OM)_PB(AG_KM)_PN(KM).pdf; https://doaj.org/toc/2249-782XTest; https://doaj.org/toc/0973-709XTest

الوصول الحر: https://doaj.org/article/3d9b63071b404c0397725dd71bac0ea4Test

المؤلفون: Amber C. Kiser, Karen C. Schliep, Edgar Javier Hernandez, C. Matthew Peterson, Mark Yandell, Karen Eilbeck

مصطلحات موضوعية: Cell Biology, Genetics, Neuroscience, Physiology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, traditional statistical techniques, negatively impact health, 155 anatomical sites, 12 years reported, sensitivity analyses demonstrated, related feature increased, associations across samples, investigating multifactorial pain, 15 pain locations, +endometriosis%22">xlink "> endometriosis, bayesian network analysis, artificial intelligence approach, developed using pain, chronic pelvic pain, endometriosis , artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach

العلاقة: https://figshare.com/articles/journal_contribution/Clinical_features_with_corresponding_survey_questions_/25261032Test

الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s001Test
https://figshare.com/articles/journal_contribution/Clinical_features_with_corresponding_survey_questions_/25261032Test

المؤلفون: Amber C. Kiser, Karen C. Schliep, Edgar Javier Hernandez, C. Matthew Peterson, Mark Yandell, Karen Eilbeck

مصطلحات موضوعية: Cell Biology, Genetics, Neuroscience, Physiology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, traditional statistical techniques, negatively impact health, 155 anatomical sites, 12 years reported, sensitivity analyses demonstrated, related feature increased, associations across samples, investigating multifactorial pain, 15 pain locations, +endometriosis%22">xlink "> endometriosis, bayesian network analysis, artificial intelligence approach, developed using pain, chronic pelvic pain, endometriosis , artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach

العلاقة: https://figshare.com/articles/journal_contribution/Relative_risk_of_an_endometriosis_rASRM_stage_given_a_symptom_/25261044Test

الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s004Test
https://figshare.com/articles/journal_contribution/Relative_risk_of_an_endometriosis_rASRM_stage_given_a_symptom_/25261044Test

المؤلفون: Amber C. Kiser, Karen C. Schliep, Edgar Javier Hernandez, C. Matthew Peterson, Mark Yandell, Karen Eilbeck

مصطلحات موضوعية: Cell Biology, Genetics, Neuroscience, Physiology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, traditional statistical techniques, negatively impact health, 155 anatomical sites, 12 years reported, sensitivity analyses demonstrated, related feature increased, associations across samples, investigating multifactorial pain, 15 pain locations, +endometriosis%22">xlink "> endometriosis, bayesian network analysis, artificial intelligence approach, developed using pain, chronic pelvic pain, endometriosis , artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach

العلاقة: https://figshare.com/articles/journal_contribution/Relative_risk_of_an_endometriosis_typology_given_a_symptom_/25261047Test

الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s005Test
https://figshare.com/articles/journal_contribution/Relative_risk_of_an_endometriosis_typology_given_a_symptom_/25261047Test

المؤلفون: Amber C. Kiser, Karen C. Schliep, Edgar Javier Hernandez, C. Matthew Peterson, Mark Yandell, Karen Eilbeck

مصطلحات موضوعية: Cell Biology, Genetics, Neuroscience, Physiology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, traditional statistical techniques, negatively impact health, 155 anatomical sites, 12 years reported, sensitivity analyses demonstrated, related feature increased, associations across samples, investigating multifactorial pain, 15 pain locations, +endometriosis%22">xlink "> endometriosis, bayesian network analysis, artificial intelligence approach, developed using pain, chronic pelvic pain, endometriosis , artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach

العلاقة: https://figshare.com/articles/journal_contribution/Clustered_pain_map_areas_/25261035Test

الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s002Test
https://figshare.com/articles/journal_contribution/Clustered_pain_map_areas_/25261035Test

المؤلفون: Amber C. Kiser, Karen C. Schliep, Edgar Javier Hernandez, C. Matthew Peterson, Mark Yandell, Karen Eilbeck

مصطلحات موضوعية: Cell Biology, Genetics, Neuroscience, Physiology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, traditional statistical techniques, negatively impact health, 155 anatomical sites, 12 years reported, sensitivity analyses demonstrated, related feature increased, associations across samples, investigating multifactorial pain, 15 pain locations, +endometriosis%22">xlink "> endometriosis, bayesian network analysis, artificial intelligence approach, developed using pain, chronic pelvic pain, endometriosis , artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach

العلاقة: https://figshare.com/articles/journal_contribution/Characteristics_of_the_study_sample_by_postoperative_diagnosis_/25261038Test

الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s003Test
https://figshare.com/articles/journal_contribution/Characteristics_of_the_study_sample_by_postoperative_diagnosis_/25261038Test

المؤلفون: Natheer H. Al-Rawi, Ibrahim Y. Hachim, Mahmood Y. Hachim, Abdulrahman Salmeh, Asmaa T. Uthman, Hesham Marei

المصدر: Heliyon, Vol 9, Iss 5, Pp e15884- (2023)

مصطلحات موضوعية: Oral cancer, Anatomical sites, Bioportal, Oral tongue, Jaw bones, Base of tongue, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2405844023030918Test; https://doaj.org/toc/2405-8440Test

الوصول الحر: https://doaj.org/article/1ab50c32a1e94794976d324797d438baTest

المؤلفون: Mazaro, Renata D., Luz, Flávia S., Herbichi, Alana P., Lorenzetti, Douglas M., Cogliati, Bruno, Fighera, Rafael A.

المصدر: Pesquisa Veterinária Brasileira. April 2020 40(4)

مصطلحات موضوعية: Anatomical sites, anatomopathological, lymphoma, dogs, non-traditional lymphomas, atypical lymphomas

وصف الملف: text/html

الوصول الحر: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2020000400271Test

المؤلفون: Der, Edmund M., Antwi, Kwadwo F., Adjeso, Theophilus J. K.

المصدر: International Journal of Otorhinolaryngology and Head and Neck Surgery; Vol 8, No 12 (2022): December 2022; 946-956 ; 2454-5937 ; 2454-5929

مصطلحات موضوعية: Head and neck tumours, Northern Ghana, Anatomical sites, Classifications, Histopathological subtypes, Presentation

وصف الملف: application/pdf

العلاقة: https://www.ijorl.com/index.php/ijorl/article/view/3714/2107Test; https://www.ijorl.com/index.php/ijorl/article/view/3714Test

الإتاحة: https://doi.org/10.18203/issn.2454-5929.ijohns20223042Test
https://www.ijorl.com/index.php/ijorl/article/view/3714Test

المؤلفون: Amber C. Kiser, Karen C. Schliep, Edgar Javier Hernandez, C. Matthew Peterson, Mark Yandell, Karen Eilbeck

مصطلحات موضوعية: Cell Biology, Genetics, Neuroscience, Physiology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, traditional statistical techniques, negatively impact health, 155 anatomical sites, 12 years reported, sensitivity analyses demonstrated, related feature increased, associations across samples, investigating multifactorial pain, 15 pain locations, +endometriosis%22">xlink "> endometriosis, bayesian network analysis, artificial intelligence approach, developed using pain, chronic pelvic pain, endometriosis , artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach

العلاقة: https://figshare.com/articles/figure/The_elbow_method_identifies_15_clusters_as_optimal_/25261053Test

الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s007Test
https://figshare.com/articles/figure/The_elbow_method_identifies_15_clusters_as_optimal_/25261053Test