-
1دورية أكاديمية
المؤلفون: Amber C Kiser, Karen C Schliep, Edgar Javier Hernandez, C Matthew Peterson, Mark Yandell, Karen Eilbeck
المصدر: PLoS ONE, Vol 19, Iss 2, p e0297998 (2024)
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1932-6203Test
-
2دورية أكاديمية
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 p, artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s001Test
https://figshare.com/articles/journal_contribution/Clinical_features_with_corresponding_survey_questions_/25261032Test -
3دورية أكاديمية
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 p, artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach 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 -
4دورية أكاديمية
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 p, artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach 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 -
5دورية أكاديمية
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 p, artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s002Test
https://figshare.com/articles/journal_contribution/Clustered_pain_map_areas_/25261035Test -
6دورية أكاديمية
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 p, artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach 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 -
7دورية أكاديمية
المؤلفون: Karen C. Schliep, PhD, MSPH, Lina Ghabayen, MD, BS, May Shaaban, BS, Felicity R. Hughes, MSPH, Anna Z. Pollack, PhD, Joseph B. Stanford, MD, MSPH, Kristy Allen Brady, PhD, Amber Kiser, BS, C. Matthew Peterson, MD
المصدر: AJOG Global Reports, Vol 3, Iss 3, Pp 100259- (2023)
مصطلحات موضوعية: endometriosis, epidemiology, pelvic pain, polycystic ovarian syndrome, subfertility, Gynecology and obstetrics, RG1-991
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S2666577823001004Test; https://doaj.org/toc/2666-5778Test
-
8دورية أكاديمية
المؤلفون: S. A. Bengtson, L. C. Menviel, K. J. Meissner, L. Missiaen, C. D. Peterson, L. E. Lisiecki, F. Joos
المصدر: Climate of the Past, Vol 17, Pp 507-528 (2021)
مصطلحات موضوعية: Environmental pollution, TD172-193.5, Environmental protection, TD169-171.8, Environmental sciences, GE1-350
وصف الملف: electronic resource
العلاقة: https://cp.copernicus.org/articles/17/507/2021/cp-17-507-2021.pdfTest; https://doaj.org/toc/1814-9324Test; https://doaj.org/toc/1814-9332Test
-
9صورة
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 p, artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s007Test
https://figshare.com/articles/figure/The_elbow_method_identifies_15_clusters_as_optimal_/25261053Test -
10صورة
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 p, artificial intelligence, pelvic pain, significant associations, related features, multivariable analyses, chronic disease, bayesian network, based approach الإتاحة: https://doi.org/10.1371/journal.pone.0297998.s008Test
https://figshare.com/articles/figure/Polar_dendrogram_of_anatomical_sites_used_to_produce_15_pain_locations_/25261056Test