Suchergebnisse - "ROC Curve [MeSH]"
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1
Autoren: et al.
Quelle: Journal of Magnetic Resonance Imaging. 61(2)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Machine Learning and Artificial Intelligence (rcdc), Women's Health (rcdc), Breast Cancer (rcdc), Clinical Research (rcdc), Cancer (rcdc), Biomedical Imaging (rcdc), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Humans (mesh), Female (mesh), Breast Neoplasms (mesh), Machine Learning (mesh), Magnetic Resonance Imaging (mesh), Retrospective Studies (mesh), Middle Aged (mesh), Receptor, ErbB-2 (mesh), Carcinoma, Ductal, Breast (mesh), Adult (mesh), Aged (mesh), Breast (mesh), Image Interpretation, Computer-Assisted (mesh), Reproducibility of Results (mesh), Algorithms (mesh), ROC Curve (mesh), breast cancer, HER2 positive, HER2 low, magnetic resonance imaging, Breast (mesh), Humans (mesh), Carcinoma, Ductal, Breast (mesh), Breast Neoplasms (mesh), Receptor, erbB-2 (mesh), Image Interpretation, Computer-Assisted (mesh), Magnetic Resonance Imaging (mesh), Retrospective Studies (mesh), Reproducibility of Results (mesh), ROC Curve (mesh), Algorithms (mesh), Adult (mesh), Aged (mesh), Middle Aged (mesh), Female (mesh), Machine Learning (mesh), HER2 low, HER2 positive, breast cancer, magnetic resonance imaging, Humans (mesh), Female (mesh), Breast Neoplasms (mesh), Machine Learning (mesh), Magnetic Resonance Imaging (mesh), Retrospective Studies (mesh), Middle Aged (mesh), Receptor, ErbB-2 (mesh), Carcinoma, Ductal, Breast (mesh), Adult (mesh), Aged (mesh), Breast (mesh), Image Interpretation, Computer-Assisted (mesh), Reproducibility of Results (mesh), Algorithms (mesh), ROC Curve (mesh), 02 Physical Sciences (for), 09 Engineering (for), 11 Medical and Health Sciences (for), Nuclear Medicine & Medical Imaging (science-metrix), 3202 Clinical sciences (for-2020)
Dateibeschreibung: application/pdf
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2
Autoren: et al.
Quelle: Heart. 110(14)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Cardiovascular (rcdc), Clinical Research (rcdc), Aging (rcdc), Atherosclerosis (rcdc), Prevention (rcdc), Women's Health (rcdc), Heart Disease (rcdc), Heart Disease - Coronary Heart Disease (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Cardiovascular (hrcs-hc), 3 Good Health and Well Being (sdg), Humans (mesh), Male (mesh), Female (mesh), Aged (mesh), Vascular Calcification (mesh), Coronary Artery Disease (mesh), Prognosis (mesh), Middle Aged (mesh), Risk Assessment (mesh), Computed Tomography Angiography (mesh), Predictive Value of Tests (mesh), Aorta, Thoracic (mesh), Risk Factors (mesh), Aortic Diseases (mesh), ROC Curve (mesh), Coronary Vessels (mesh), Cardiac-Gated Imaging Techniques (mesh), United States (mesh), Electrocardiography (mesh), Incidence (mesh), Coronary Angiography (mesh), Tomography, X-Ray Computed (mesh), Atherosclerosis (mesh), Aorta, Thoracic (mesh), Coronary Vessels (mesh), Humans (mesh), Aortic Diseases (mesh), Tomography, X-Ray Computed (mesh), Coronary Angiography (mesh), Electrocardiography (mesh), Prognosis (mesh), Incidence (mesh), Risk Assessment (mesh), Risk Factors (mesh), Predictive Value of Tests (mesh), ROC Curve (mesh), Aged (mesh), Middle Aged (mesh), United States (mesh), Female (mesh), Male (mesh), Atherosclerosis (mesh), Coronary Artery Disease (mesh), Cardiac-Gated Imaging Techniques (mesh), Vascular Calcification (mesh), Computed Tomography Angiography (mesh), Atherosclerosis, Computed Tomography Angiography, Coronary Artery Disease, Humans (mesh), Male (mesh), Female (mesh), Aged (mesh), Vascular Calcification (mesh), Coronary Artery Disease (mesh), Prognosis (mesh), Middle Aged (mesh), Risk Assessment (mesh), Computed Tomography Angiography (mesh), Predictive Value of Tests (mesh), Aorta, Thoracic (mesh), Risk Factors (mesh), Aortic Diseases (mesh), ROC Curve (mesh), Coronary Vessels (mesh), Cardiac-Gated Imaging Techniques (mesh), United States (mesh), Electrocardiography (mesh), Incidence (mesh), Coronary Angiography (mesh), Tomography, X-Ray Computed (mesh), Atherosclerosis (mesh), 1102 Cardiorespiratory Medicine and Haematology (for), 1103 Clinical Sciences (for), Cardiovascular System & Hematology (science-metrix), 3201 Cardiovascular medicine and haematology (for-2020), 3202 Clinical sciences (for-2020)
Dateibeschreibung: application/pdf
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3
Autoren: et al.
Quelle: Journal of the American Heart Association. 13(12)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3201 Cardiovascular Medicine and Haematology (for-2020), 3202 Clinical Sciences (for-2020), Heart Disease (rcdc), Pediatric (rcdc), Machine Learning and Artificial Intelligence (rcdc), Congenital Heart Disease (rcdc), Bioengineering (rcdc), Rare Diseases (rcdc), Congenital Structural Anomalies (rcdc), Cardiovascular (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Humans (mesh), Oximetry (mesh), Heart Defects, Congenital (mesh), Infant, Newborn (mesh), Male (mesh), Female (mesh), Neonatal Screening (mesh), Machine Learning (mesh), Prospective Studies (mesh), Oxygen Saturation (mesh), Predictive Value of Tests (mesh), Algorithms (mesh), ROC Curve (mesh), critical congenital heart disease, machine learning, pulse oximetry, Humans (mesh), Heart Defects, Congenital (mesh), Oximetry (mesh), Neonatal Screening (mesh), Prospective Studies (mesh), Predictive Value of Tests (mesh), ROC Curve (mesh), Algorithms (mesh), Infant, Newborn (mesh), Female (mesh), Male (mesh), Machine Learning (mesh), Oxygen Saturation (mesh), critical congenital heart disease, machine learning, pulse oximetry, Humans (mesh), Oximetry (mesh), Heart Defects, Congenital (mesh), Infant, Newborn (mesh), Male (mesh), Female (mesh), Neonatal Screening (mesh), Machine Learning (mesh), Prospective Studies (mesh), Oxygen Saturation (mesh), Predictive Value of Tests (mesh), Algorithms (mesh), ROC Curve (mesh), 1102 Cardiorespiratory Medicine and Haematology (for), 3201 Cardiovascular medicine and haematology (for-2020)
Dateibeschreibung: application/pdf
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4
Autoren: et al.
Quelle: Clinical Gastroenterology and Hepatology. 22(6)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Digestive Diseases (rcdc), Oral and gastrointestinal (hrcs-hc), Humans (mesh), Male (mesh), Female (mesh), Gastroesophageal Reflux (mesh), Middle Aged (mesh), Cough (mesh), Adult (mesh), Chronic Disease (mesh), Aged (mesh), ROC Curve (mesh), Laryngeal Diseases (mesh), Laryngopharyngeal Re fl ux, Diagnosis, Esophageal pH Monitoring, Esophagus, Humans (mesh), Gastroesophageal Reflux (mesh), Laryngeal Diseases (mesh), Cough (mesh), Chronic Disease (mesh), ROC Curve (mesh), Adult (mesh), Aged (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), Diagnosis, Esophageal pH Monitoring, Esophagus, Laryngopharyngeal Reflux, Humans (mesh), Male (mesh), Female (mesh), Gastroesophageal Reflux (mesh), Middle Aged (mesh), Cough (mesh), Adult (mesh), Chronic Disease (mesh), Aged (mesh), ROC Curve (mesh), Laryngeal Diseases (mesh), 1103 Clinical Sciences (for), Gastroenterology & Hepatology (science-metrix), 3202 Clinical sciences (for-2020)
Dateibeschreibung: application/pdf
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5
Autoren: et al.
Quelle: Clinical and Experimental Dermatology. 49(6)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Cancer (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Humans (mesh), Melanoma (mesh), Calgranulin A (mesh), Case-Control Studies (mesh), Diagnosis, Differential (mesh), Biomarkers, Tumor (mesh), Nevus, Pigmented (mesh), Antigens, Neoplasm (mesh), Skin Neoplasms (mesh), Immunohistochemistry (mesh), ROC Curve (mesh), Sensitivity and Specificity (mesh), Male (mesh), Female (mesh), Middle Aged (mesh), Adult (mesh), Humans (mesh), Melanoma (mesh), Nevus, Pigmented (mesh), Skin Neoplasms (mesh), Calgranulin A (mesh), Antigens, Neoplasm (mesh), Diagnosis, Differential (mesh), Immunohistochemistry (mesh), Sensitivity and Specificity (mesh), Case-Control Studies (mesh), ROC Curve (mesh), Adult (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), Biomarkers, Tumor (mesh), Humans (mesh), Melanoma (mesh), Calgranulin A (mesh), Case-Control Studies (mesh), Diagnosis, Differential (mesh), Biomarkers, Tumor (mesh), Nevus, Pigmented (mesh), Antigens, Neoplasm (mesh), Skin Neoplasms (mesh), Immunohistochemistry (mesh), ROC Curve (mesh), Sensitivity and Specificity (mesh), Male (mesh), Female (mesh), Middle Aged (mesh), Adult (mesh), 1103 Clinical Sciences (for), Dermatology & Venereal Diseases (science-metrix), 3202 Clinical sciences (for-2020)
Dateibeschreibung: application/pdf
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6
Autoren: et al.
Quelle: Alzheimer's & Dementia. 20(5)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3209 Neurosciences (for-2020), 3202 Clinical Sciences (for-2020), Biomedical Imaging (rcdc), Neurosciences (rcdc), Women's Health (rcdc), Dementia (rcdc), Brain Disorders (rcdc), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) (rcdc), Alzheimer's Disease (rcdc), Aging (rcdc), Acquired Cognitive Impairment (rcdc), Neurodegenerative (rcdc), Clinical Research (rcdc), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), 4.2 Evaluation of markers and technologies (hrcs-rac), Neurological (hrcs-hc), Humans (mesh), Amyloid beta-Peptides (mesh), Female (mesh), Male (mesh), tau Proteins (mesh), Alzheimer Disease (mesh), Aged (mesh), Algorithms (mesh), Positron-Emission Tomography (mesh), Peptide Fragments (mesh), Brain (mesh), Biomarkers (mesh), Mass Spectrometry (mesh), Middle Aged (mesh), Aged, 80 and over (mesh), ROC Curve (mesh), Alzheimer's, amyloid beta, blood biomarker, clinical validity, diagnostic, p-tau217, Brain (mesh), Humans (mesh), Alzheimer Disease (mesh), Peptide Fragments (mesh), tau Proteins (mesh), Positron-Emission Tomography (mesh), ROC Curve (mesh), Algorithms (mesh), Aged (mesh), Aged, 80 and over (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), Mass Spectrometry (mesh), Amyloid beta-Peptides (mesh), Biomarkers (mesh), Alzheimer's, amyloid beta, blood biomarker, clinical validity, diagnostic, p‐tau217, Humans (mesh), Amyloid beta-Peptides (mesh), Female (mesh), Male (mesh), tau Proteins (mesh), Alzheimer Disease (mesh), Aged (mesh), Algorithms (mesh), Positron-Emission Tomography (mesh), Peptide Fragments (mesh), Brain (mesh), Biomarkers (mesh), Mass Spectrometry (mesh), Middle Aged (mesh), Aged, 80 and over (mesh), ROC Curve (mesh), 1103 Clinical Sciences (for), 1109 Neurosciences (for), Geriatrics (science-metrix), 3202 Clinical sciences (for-2020), 3209 Neurosciences (for-2020), 5202 Biological psychology (for-2020)
Dateibeschreibung: application/pdf
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7
Autoren: et al.
Quelle: American Journal of Ophthalmology. 259
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3212 Ophthalmology and Optometry (for-2020), Neurodegenerative (rcdc), Aging (rcdc), Neurosciences (rcdc), Clinical Research (rcdc), Bioengineering (rcdc), Biomedical Imaging (rcdc), Eye Disease and Disorders of Vision (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Eye (hrcs-hc), Humans (mesh), Glaucoma, Open-Angle (mesh), Tomography, Optical Coherence (mesh), Nerve Fibers (mesh), Retinal Ganglion Cells (mesh), Female (mesh), Male (mesh), Middle Aged (mesh), Intraocular Pressure (mesh), ROC Curve (mesh), Visual Fields (mesh), White People (mesh), Reproducibility of Results (mesh), Aged (mesh), Optic Disk (mesh), Optic Nerve Diseases (mesh), Black or African American (mesh), Area Under Curve (mesh), Sensitivity and Specificity (mesh), 32 Biomedical and Clinical Sciences (for-2020), 3212 Ophthalmology and Optometry (for-2020), Neurosciences (rcdc), Neurodegenerative (rcdc), Biomedical Imaging (rcdc), Aging (rcdc), Eye Disease and Disorders of Vision (rcdc), Bioengineering (rcdc), Clinical Research (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Eye (hrcs-hc), Nerve Fibers (mesh), Retinal Ganglion Cells (mesh), Optic Disk (mesh), Humans (mesh), Optic Nerve Diseases (mesh), Glaucoma, Open-Angle (mesh), Tomography, Optical Coherence (mesh), Area Under Curve (mesh), Sensitivity and Specificity (mesh), Reproducibility of Results (mesh), ROC Curve (mesh), Intraocular Pressure (mesh), Visual Fields (mesh), Aged (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), White People (mesh), Black or African American (mesh), Retinal nerve fiber layer, primary open-angle glaucoma, racial differences, spectral-domain optical coherence tomography, Humans (mesh), Glaucoma, Open-Angle (mesh), Tomography, Optical Coherence (mesh), Nerve Fibers (mesh), Retinal Ganglion Cells (mesh), Female (mesh), Male (mesh), Middle Aged (mesh), Intraocular Pressure (mesh), ROC Curve (mesh), Visual Fields (mesh), White People (mesh), Reproducibility of Results (mesh), Aged (mesh), Optic Disk (mesh), Optic Nerve Diseases (mesh), Black or African American (mesh), Area Under Curve (mesh), Sensitivity and Specificity (mesh), 1103 Clinical Sciences (for), 1113 Opthalmology and Optometry (for), 1117 Public Health and Health Services (for), Ophthalmology & Optometry (science-metrix), 3212 Ophthalmology and optometry (for-2020)
Dateibeschreibung: application/pdf
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8
Autoren: et al.
Quelle: Scientific Reports. 14(1)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Prostate Cancer (rcdc), Cancer (rcdc), Clinical Research (rcdc), Urologic Diseases (rcdc), Prevention (rcdc), Aging (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), 4.4 Population screening (hrcs-rac), Cancer (hrcs-hc), Humans (mesh), Male (mesh), Prostatic Neoplasms (mesh), Retrospective Studies (mesh), Aged (mesh), Middle Aged (mesh), ROC Curve (mesh), Diffusion Magnetic Resonance Imaging (mesh), Prostate (mesh), Prostate, Cancer detection, T-2 mapping, Restriction spectrum imaging, Diffusion-weighted imaging, Prostate (mesh), Humans (mesh), Prostatic Neoplasms (mesh), Diffusion Magnetic Resonance Imaging (mesh), Retrospective Studies (mesh), ROC Curve (mesh), Aged (mesh), Middle Aged (mesh), Male (mesh), T 2 mapping, Cancer detection, Diffusion-weighted imaging, Prostate, Restriction spectrum imaging, Humans (mesh), Male (mesh), Prostatic Neoplasms (mesh), Retrospective Studies (mesh), Aged (mesh), Middle Aged (mesh), ROC Curve (mesh), Diffusion Magnetic Resonance Imaging (mesh), Prostate (mesh)
Dateibeschreibung: application/pdf
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9
Autoren: et al.
Quelle: Radiol Med
Schlagwörter: Male, Aged, 80 and over, Contrast Media, Middle Aged, Sensitivity and Specificity, Radiography, Dual-Energy Scanned Projection, ROC Curve, Mesenteric Ischemia, Acute Disease, Acute mesenteric ischemia, Dual energy, Computed tomography, Bowel diseases, Mesenteric vascular insufficiency, Humans, Female, Female [MeSH], Aged, 80 and over [MeSH], Aged [MeSH], Humans [MeSH], Acute mesenteric ischemia, Retrospective Studies [MeSH], Middle Aged [MeSH], Tomography, X-Ray Computed/methods [MeSH], Abdominal Radiology, Contrast Media [MeSH], Iodine [MeSH], Acute Disease [MeSH], Sensitivity and Specificity [MeSH], Male [MeSH], ROC Curve [MeSH], Radiography, Dual-Energy Scanned Projection/methods [MeSH], Mesenteric Ischemia/diagnostic imaging [MeSH], Tomography, X-Ray Computed, Aged, Retrospective Studies, Iodine
Dateibeschreibung: application/pdf
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10
Autoren: et al.
Quelle: Digestive Diseases and Sciences. 68(12)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Liver Disease (rcdc), Digestive Diseases (rcdc), Chronic Liver Disease and Cirrhosis (rcdc), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), Oral and gastrointestinal (hrcs-hc), 3 Good Health and Well Being (sdg), Humans (mesh), Non-alcoholic Fatty Liver Disease (mesh), Elasticity Imaging Techniques (mesh), Liver (mesh), Veterans (mesh), Electronic Health Records (mesh), Prospective Studies (mesh), ROC Curve (mesh), Liver Diseases, Alcoholic (mesh), Biopsy (mesh), Liver Cirrhosis (mesh), Nonalcoholic fatty liver disease, Prediction, Model, Elastography, Liver (mesh), Humans (mesh), Liver Cirrhosis (mesh), Liver Diseases, Alcoholic (mesh), Biopsy (mesh), Prospective Studies (mesh), ROC Curve (mesh), Veterans (mesh), Elasticity Imaging Techniques (mesh), Electronic Health Records (mesh), Non-alcoholic Fatty Liver Disease (mesh), Elastography, Model, Nonalcoholic fatty liver disease, Prediction, Humans (mesh), Non-alcoholic Fatty Liver Disease (mesh), Elasticity Imaging Techniques (mesh), Liver (mesh), Veterans (mesh), Electronic Health Records (mesh), Prospective Studies (mesh), ROC Curve (mesh), Liver Diseases, Alcoholic (mesh), Biopsy (mesh), Liver Cirrhosis (mesh), 1103 Clinical Sciences (for), Gastroenterology & Hepatology (science-metrix), 3202 Clinical sciences (for-2020)
Dateibeschreibung: application/pdf
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11
Autoren: et al.
Quelle: Journal of Hepatology. 79(3)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Liver Disease (rcdc), Biomedical Imaging (rcdc), Chronic Liver Disease and Cirrhosis (rcdc), Digestive Diseases (rcdc), Obesity (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Oral and gastrointestinal (hrcs-hc), Humans (mesh), Elasticity Imaging Techniques (mesh), Fibrosis (mesh), Liver (mesh), Liver Cirrhosis (mesh), Magnetic Resonance Imaging (mesh), Non-alcoholic Fatty Liver Disease (mesh), ROC Curve (mesh), Elastography, Magnetic Resonance, Fibrosis, NAFLD, NASH, GGT, LITMUS Consortium Investigators, Liver (mesh), Humans (mesh), Liver Cirrhosis (mesh), Fibrosis (mesh), Magnetic Resonance Imaging (mesh), ROC Curve (mesh), Elasticity Imaging Techniques (mesh), Non-alcoholic Fatty Liver Disease (mesh), Elastography, Fibrosis, GGT, Magnetic Resonance, NAFLD, NASH, Humans (mesh), Elasticity Imaging Techniques (mesh), Fibrosis (mesh), Liver (mesh), Liver Cirrhosis (mesh), Magnetic Resonance Imaging (mesh), Non-alcoholic Fatty Liver Disease (mesh), ROC Curve (mesh), 1103 Clinical Sciences (for), 1117 Public Health and Health Services (for), Gastroenterology & Hepatology (science-metrix), 3202 Clinical sciences (for-2020)
Dateibeschreibung: application/pdf
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12
Autoren: et al.
Weitere Verfasser: et al.
Quelle: J Neurol
Journal of neurology 271(10), 6991-6999 (2024). doi:10.1007/s00415-024-12647-zSchlagwörter: Male, Fluid biomarkers, blood [Neurofilament Proteins], Glial fibrillary acidic protein, Severity of Illness Index, Short Commentary, Diagnosis, Differential, cerebrospinal fluid [Glial Fibrillary Acidic Protein], Neuroinflammation, Neurofilament Proteins, blood [Parkinson Disease], cerebrospinal fluid [Parkinson Disease], Glial Fibrillary Acidic Protein, Humans, blood [Glial Fibrillary Acidic Protein], ddc:610, neurofilament protein L, Neurofilament light chain, Aged, blood [Multiple System Atrophy], Parkinson Disease/blood [MeSH], Disease Progression [MeSH], Neurofilament Proteins/cerebrospinal fluid [MeSH], Aged [MeSH], Multiple system atrophy, Diagnosis, Differential [MeSH], Male [MeSH], Neurofilament Proteins/blood [MeSH], Glial Fibrillary Acidic Protein/cerebrospinal fluid [MeSH], Multiple System Atrophy/blood [MeSH], Multiple System Atrophy/diagnosis [MeSH], Female [MeSH], Biomarkers/blood [MeSH], Humans [MeSH], Severity of Illness Index [MeSH], Glial Fibrillary Acidic Protein/blood [MeSH], Middle Aged [MeSH], Cross-Sectional Studies [MeSH], Parkinson Disease/diagnosis [MeSH], Biomarkers/cerebrospinal fluid [MeSH], ROC Curve [MeSH], Parkinson Disease/cerebrospinal fluid [MeSH], Multiple System Atrophy/cerebrospinal fluid [MeSH], blood [Biomarkers], GFAP protein, human, Parkinson Disease, cerebrospinal fluid [Multiple System Atrophy], Multiple System Atrophy, Middle Aged, ddc, cerebrospinal fluid [Neurofilament Proteins], Cross-Sectional Studies, diagnosis [Multiple System Atrophy], cerebrospinal fluid [Biomarkers], ROC Curve, Disease Progression, Female, diagnosis [Parkinson Disease], Biomarkers
Dateibeschreibung: application/pdf
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13
Autoren: et al.
Quelle: Eye (Lond)
Schlagwörter: Male, Adult, 0301 basic medicine, Epithelium, Corneal, Corneal Topography, Female [MeSH], Epithelium, Corneal/diagnostic imaging [MeSH], Adult [MeSH], Humans [MeSH], 692/700/1421, Epithelium, Corneal/pathology [MeSH], Cross-Sectional Studies [MeSH], Article, Male [MeSH], ROC Curve [MeSH], Young Adult [MeSH], 692/699/3161/3163, 59, Tomography, Optical Coherence/methods [MeSH], Corneal Topography/methods [MeSH], Early Diagnosis [MeSH], Keratoconus/diagnosis [MeSH], article, Keratoconus, Young Adult, 03 medical and health sciences, Cross-Sectional Studies, Early Diagnosis, 0302 clinical medicine, ROC Curve, Humans, Female, Tomography, Optical Coherence
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14
Autoren:
Quelle: Quality of Life Research. 32(5)
Schlagwörter: 42 Health Sciences (for-2020), Cancer (hrcs-hc), Adult (mesh), Humans (mesh), Quality of Life (mesh), Patient Reported Outcome Measures (mesh), ROC Curve (mesh), Individual change, Patient-reported outcomes, Meaningful change, Cancer, Humans (mesh), ROC Curve (mesh), Quality of Life (mesh), Adult (mesh), Patient Reported Outcome Measures (mesh), Cancer, Individual change, Meaningful change, Patient-reported outcomes, Adult (mesh), Humans (mesh), Quality of Life (mesh), Patient Reported Outcome Measures (mesh), ROC Curve (mesh), 1117 Public Health and Health Services (for), 1701 Psychology (for), Health Policy & Services (science-metrix), 42 Health sciences (for-2020), 44 Human society (for-2020)
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15
Autoren: et al.
Quelle: Int J Legal Med
Schlagwörter: Sheep, Time Factors, 0206 medical engineering, Brain, Time since death estimation, Cold Temperature [MeSH], Biomechanical Phenomena [MeSH], Animals [MeSH], Biomechanics, Brain [MeSH], Post-mortem interval, Sheep [MeSH], Time Factors [MeSH], Specimen Handling/methods [MeSH], Original Article, Forensic Pathology/methods [MeSH], Models, Animal [MeSH], Postmortem Changes [MeSH], ROC Curve [MeSH], Rheometry, 02 engineering and technology, Biomechanical Phenomena, Specimen Handling, Cold Temperature, 03 medical and health sciences, 0302 clinical medicine, ROC Curve, Postmortem Changes, Models, Animal, Animals, Forensic Pathology
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16
Autoren: et al.
Quelle: Arch Gynecol Obstet
Schlagwörter: Adult, Female [MeSH], Cicatrix/diagnostic imaging [MeSH], Adult [MeSH], Ultrasonography [MeSH], Dysmenorrhea, Humans [MeSH], Myometrium/pathology [MeSH], Logistic Models [MeSH], Cicatrix/etiology [MeSH], General Gynecology, Cross-Sectional Studies [MeSH], Dysmenorrhea/etiology [MeSH], Dysmenorrhea/diagnostic imaging [MeSH], Sonography, Myometrium/diagnostic imaging [MeSH], ROC Curve [MeSH], Uterus/diagnostic imaging [MeSH], Cesarean scar, Bleeding disorder, Cesarean section, Cesarean Section/adverse effects [MeSH], Pregnancy [MeSH], Cesarean Section, Uterus, Cicatrix, 03 medical and health sciences, Cross-Sectional Studies, Logistic Models, 0302 clinical medicine, ROC Curve, Pregnancy, Myometrium, Humans, Female, Ultrasonography
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17
Autoren: et al.
Quelle: Pediatric Research. 93(3)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Genetics (rcdc), Pediatric (rcdc), Biotechnology (rcdc), Autoimmune Disease (rcdc), Rare Diseases (rcdc), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), 4.2 Evaluation of markers and technologies (hrcs-rac), Child (mesh), Humans (mesh), Child, Preschool (mesh), Mucocutaneous Lymph Node Syndrome (mesh), Reverse Transcriptase Polymerase Chain Reaction (mesh), Gene Expression Profiling (mesh), Fever (mesh), ROC Curve (mesh), Humans (mesh), Mucocutaneous Lymph Node Syndrome (mesh), Fever (mesh), ROC Curve (mesh), Gene Expression Profiling (mesh), Reverse Transcriptase Polymerase Chain Reaction (mesh), Child (mesh), Child, Preschool (mesh), Child (mesh), Humans (mesh), Child, Preschool (mesh), Mucocutaneous Lymph Node Syndrome (mesh), Reverse Transcriptase Polymerase Chain Reaction (mesh), Gene Expression Profiling (mesh), Fever (mesh), ROC Curve (mesh), 1114 Paediatrics and Reproductive Medicine (for), 1117 Public Health and Health Services (for), Pediatrics (science-metrix), 3213 Paediatrics (for-2020)
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18
Autoren: et al.
Quelle: AIDS. 36(15)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Chronic Liver Disease and Cirrhosis (rcdc), Liver Disease (rcdc), Women's Health (rcdc), Infectious Diseases (rcdc), HIV/AIDS (rcdc), Digestive Diseases (rcdc), Substance Misuse (rcdc), Sexually Transmitted Infections (rcdc), Clinical Research (rcdc), Biomedical Imaging (rcdc), Infection (hrcs-hc), 3 Good Health and Well Being (sdg), Humans (mesh), Female (mesh), Male (mesh), Elasticity Imaging Techniques (mesh), Liver (mesh), HIV Infections (mesh), Fatty Liver (mesh), Liver Cirrhosis (mesh), Non-alcoholic Fatty Liver Disease (mesh), ROC Curve (mesh), Biopsy (mesh), controlled attenuation parameter, fibroscan, HIV, steatosis, vibration-controlled transient elastography, Liver (mesh), Humans (mesh), HIV Infections (mesh), Fatty Liver (mesh), Liver Cirrhosis (mesh), Biopsy (mesh), ROC Curve (mesh), Female (mesh), Male (mesh), Elasticity Imaging Techniques (mesh), Non-alcoholic Fatty Liver Disease (mesh), Humans (mesh), Female (mesh), Male (mesh), Elasticity Imaging Techniques (mesh), Liver (mesh), HIV Infections (mesh), Fatty Liver (mesh), Liver Cirrhosis (mesh), Non-alcoholic Fatty Liver Disease (mesh), ROC Curve (mesh), Biopsy (mesh), 06 Biological Sciences (for), 11 Medical and Health Sciences (for), 17 Psychology and Cognitive Sciences (for), Virology (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020)
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19
Autoren: et al.
Quelle: Annals of Surgical Oncology. 29(10)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Clinical Research (rcdc), Cancer Genomics (rcdc), Human Genome (rcdc), Breast Cancer (rcdc), Precision Medicine (rcdc), Genetics (rcdc), Machine Learning and Artificial Intelligence (rcdc), Cancer (rcdc), Women's Health (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), Cancer (hrcs-hc), Axilla (mesh), Breast Neoplasms (mesh), Epigenesis, Genetic (mesh), Female (mesh), Humans (mesh), Lymph Node Excision (mesh), Lymph Nodes (mesh), Lymphatic Metastasis (mesh), Machine Learning (mesh), Neoplasm Staging (mesh), Nomograms (mesh), ROC Curve (mesh), Sentinel Lymph Node Biopsy (mesh), Axilla (mesh), Lymph Nodes (mesh), Humans (mesh), Breast Neoplasms (mesh), Lymphatic Metastasis (mesh), Sentinel Lymph Node Biopsy (mesh), Neoplasm Staging (mesh), Lymph Node Excision (mesh), Nomograms (mesh), ROC Curve (mesh), Epigenesis, Genetic (mesh), Female (mesh), Machine Learning (mesh), Axilla (mesh), Breast Neoplasms (mesh), Epigenesis, Genetic (mesh), Female (mesh), Humans (mesh), Lymph Node Excision (mesh), Lymph Nodes (mesh), Lymphatic Metastasis (mesh), Machine Learning (mesh), Neoplasm Staging (mesh), Nomograms (mesh), ROC Curve (mesh), Sentinel Lymph Node Biopsy (mesh), 1112 Oncology and Carcinogenesis (for), Oncology & Carcinogenesis (science-metrix), 3211 Oncology and carcinogenesis (for-2020)
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20
Autoren: et al.
Quelle: European Radiology. 32(10)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Bioengineering (rcdc), Biomedical Imaging (rcdc), Cancer (rcdc), Rare Diseases (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Machine Learning and Artificial Intelligence (rcdc), Cancer (hrcs-hc), Breast Neoplasms (mesh), Diagnosis, Differential (mesh), Diffusion Magnetic Resonance Imaging (mesh), Female (mesh), Humans (mesh), Machine Learning (mesh), Magnetic Resonance Imaging (mesh), ROC Curve (mesh), Retrospective Studies (mesh), Sensitivity and Specificity (mesh), Diagnosis, Differential, Diffusion magnetic resonance imaging, Machine learning, Breast neoplasms, Humans (mesh), Breast Neoplasms (mesh), Diagnosis, Differential (mesh), Magnetic Resonance Imaging (mesh), Diffusion Magnetic Resonance Imaging (mesh), Sensitivity and Specificity (mesh), Retrospective Studies (mesh), ROC Curve (mesh), Female (mesh), Machine Learning (mesh), Breast neoplasms, Diagnosis, Differential, Diffusion magnetic resonance imaging, Machine learning, Breast Neoplasms (mesh), Diagnosis, Differential (mesh), Diffusion Magnetic Resonance Imaging (mesh), Female (mesh), Humans (mesh), Machine Learning (mesh), Magnetic Resonance Imaging (mesh), ROC Curve (mesh), Retrospective Studies (mesh), Sensitivity and Specificity (mesh), 1103 Clinical Sciences (for), Nuclear Medicine & Medical Imaging (science-metrix), 3202 Clinical sciences (for-2020)
Dateibeschreibung: application/pdf
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