Suchergebnisse - "Robotics statistics & numerical data"
-
1
Autoren: García Pedraza, Rubén
Schlagwörter: Global Order, Robotics/instrumentation, Swarm robotics, Robotics/statistics & numerical data, Global Model enhancement, Global Model, Robotics/legislation & jurisprudence, Robotic surgery, Robotics, Robotics/history, Robotics/economics, Robotics/classification, Robotics/trends, Robotics/organization & administration, Robotics/ethics, Robotics/education, Robotics/standards, Globalization, Robotics/methods
-
2
Autoren: Jason Langhorne, Mesiah Bishop
Schlagwörter: Machine Learning/ethics, Artificial intelligence, Robotics/instrumentation, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Swarm robotics, Quantum Dots/classification, Data Science/economics, Artificial Intelligence/standards, Robotics/economics, Probiotics/history, Unsupervised Machine Learning/classification, Data science, Machine Learning, Robotics/trends, Deep Learning/supply & distribution, Supervised Machine Learning/economics, Data Science/methods, Robotics/organization & administration, Deep Learning/economics, Machine Learning/standards, Robotics/methods, Artificial Intelligence/ethics, Supervised Machine Learning/ethics, Machine Learning/supply & distribution, Robotics/legislation & jurisprudence, Materials Science/statistics & numerical data, Robotics, Deep Learning/standards, Cognitive Science/statistics & numerical data, Robotics/history, Supervised Machine Learning/classification, Machine Learning/trends, Unsupervised Machine Learning/ethics, Robotics/classification, Machine Learning/history, Artificial Intelligence/classification, Data Science/classification, Supervised Machine Learning, Robotics/standards, Data Science/instrumentation, Deep Learning/statistics & numerical data, Artificial Intelligence/economics, Supervised Machine Learning/trends, Unsupervised Machine Learning/history, Data Science/trends, Soft robotics, Data Science/legislation & jurisprudence, Deep Learning/legislation & jurisprudence, Data Science/organization & administration, Artificial Intelligence/history, Military Science/statistics & numerical data, Deep Learning, Artificial Intelligence, Supervised Machine Learning/standards, Robotics/ethics, Machine learning, Machine Learning/classification, Environmental Science/statistics & numerical data, Deep Learning/history, Robotics/education, Quantum Theory/history, Artificial Intelligence/trends, Science/statistics & numerical data, Deep Learning/classification, Machine Learning/legislation & jurisprudence, Data Science/education, Robotics/statistics & numerical data, Probiotics, Data Science, Data Science/history, Quantum computers, Robotic surgery, Deep learning, Artificial Intelligence/supply & distribution, Machine Learning/economics, Deep Learning/ethics, Information Science/statistics & numerical data, Data Science/ethics, Data Science/standards, Quantum Theory, Data Science/statistics & numerical data, Neural Networks, Computer, Unsupervised Machine Learning, Deep Learning/trends
-
3
Autoren: et al.
Quelle: Disaster Medicine and Public Health Preparedness. 13:527-532
Schlagwörter: 0209 industrial biotechnology, mass events, instructor, high altitude long endurance, 02 engineering and technology, micro unmanned aerial vehicle, Medical assistance - statistics & numerical data, drones, unmanned aerial vehicle operator, visual line of sight, unmanned aerial vehicle, Humans, Mass Casualty Incidents, unmanned aerial vehicles (UAVs), Mass casualty incidents - economics, Robotics - standards, National Centre for Research and Development, beyond visual line of sight, 2. Zero hunger, Medical Assistance, Robotics, Medical assistance - economics, short range, Robotics - economics, 3. Good health, mini unmanned aerial vehicle, Robotics - statistics & numerical data, close range, Poland, Mass casualty incidents - statistics & numerical data
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/30404675
https://www.ncbi.nlm.nih.gov/pubmed/30404675
https://www.cambridge.org/core/journals/disaster-medicine-and-public-health-preparedness/article/operational-and-financial-considerations-of-using-drones-for-medical-support-of-mass-events-in-poland/BD4F1E5A3686F91786C26B17ADC036B4
https://europepmc.org/article/MED/30404675
https://pubmed.ncbi.nlm.nih.gov/30404675/ -
4
Autoren: et al.
Weitere Verfasser: et al.
Quelle: BJU International. 113:598-604
Schlagwörter: Male, Prostatic Neoplasms/ethnology, Asia, Prostate-Specific Antigen/blood, Nomograms, Robotics/statistics & numerical data, lymph node excision, prostatic neoplasm, 03 medical and health sciences, Prostatic Neoplasms/pathology, 0302 clinical medicine, Humans, Prospective Studies, Robotics/methods, nomograms, Aged, Prostatectomy, Asia/ethnology, Prostatic Neoplasms/surgery, prostatectomy, Lymph Node Excision/methods, Prostatic Neoplasms, Prostatic Neoplasms/blood, Robotics, Middle Aged, Prostate-Specific Antigen, 16. Peace & justice, 3. Good health, Prostatectomy/methods, Lymphatic Metastasis, Lymph Node Excision, Lymph Node Excision/statistics & numerical data, Neoplasm Grading
Dateibeschreibung: 598~604
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/24006951
https://ewha.elsevierpure.com/en/publications/yonsei-nomogram-to-predict-lymph-node-invasion-in-asian-men-with-
https://pure.ewha.ac.kr/en/publications/yonsei-nomogram-to-predict-lymph-node-invasion-in-asian-men-with-
https://dspace.ewha.ac.kr/handle/2015.oak/227599
https://onlinelibrary.wiley.com/doi/full/10.1111/bju.12280
https://bjui-journals.onlinelibrary.wiley.com/doi/pdf/10.1111/bju.12280
https://yonsei.pure.elsevier.com/en/publications/yonsei-nomogram-to-predict-lymph-node-invasion-in-asian-men-with- -
5
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Journal of Hepato-Biliary-Pancreatic Sciences. 20:125-130
Schlagwörter: Postoperative Complications/epidemiology, Adult, Male, Laparoscopy/statistics & numerical data, Adolescent, Hepatocellular carcinoma, Robotics/statistics & numerical data, Hepatectomy/statistics & numerical data, Young Adult, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Republic of Korea, 80 and over, Liver Diseases/surgery, Hepatectomy, Humans, Hospital Mortality, Preschool, Child, Aged, Retrospective Studies, Hospital Mortality/trends, Aged, 80 and over, Survival Rate/trends, Incidence, Liver Diseases, Robotics, Length of Stay, Middle Aged, 3. Good health, Treatment Outcome, Child, Preschool, Length of Stay/trends, Major liver resection, Female, Laparoscopy, Republic of Korea/epidemiology, Hepatectomy/methods
Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1007/s00534-012-0555-1
https://pubmed.ncbi.nlm.nih.gov/23001191
https://mdanderson.elsevierpure.com/en/publications/laparoscopic-major-liver-resection-in-korea-a-multicenter-study
https://link.springer.com/article/10.1007/s00534-012-0555-1/fulltext.html
https://dspace.ewha.ac.kr/handle/2015.oak/223421
https://link.springer.com/content/pdf/10.1007%2Fs00534-012-0555-1.pdf
https://www.ncbi.nlm.nih.gov/pubmed/23001191
http://ci.nii.ac.jp/naid/10031168200 -
6
Autoren: et al.
Quelle: International Journal of Medical Robotics and Computer Assisted Surgery, Vol. 7, No 1 (2011) pp. 27-32
Schlagwörter: Adult, Male, Illinois/epidemiology, Adrenal Gland Neoplasms, Robotics/statistics & numerical data, Risk Assessment, 03 medical and health sciences, Surgery, Computer-Assisted/mortality, 0302 clinical medicine, Risk Factors, Prevalence, Humans, Laparoscopy/mortality, Aged, Aged, 80 and over, ddc:617, Adrenalectomy/mortality, Adrenalectomy, Robotics, Middle Aged, Survival Analysis, 3. Good health, Survival Rate, Treatment Outcome, Adrenal Gland Neoplasms/mortality/surgery, Surgery, Computer-Assisted, Female, Laparoscopy, Illinois
Dateibeschreibung: application/pdf
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/21341360
https://europepmc.org/abstract/MED/21341360
https://onlinelibrary.wiley.com/doi/full/10.1002/rcs.364
https://archive-ouverte.unige.ch/unige:31150
https://www.ncbi.nlm.nih.gov/pubmed/21341360
https://archive-ouverte.unige.ch/unige:31150
https://doi.org/10.1002/rcs.364
https://archive-ouverte.unige.ch/unige:31150 -
7
Weitere Verfasser: et al.
Schlagwörter: Adenocarcinoma/pathology, Adenocarcinoma/surgery, Aged, Digestive System Surgical Procedures/methods, Digestive System Surgical Procedures/statistics & numerical data, Female, Humans, Laparoscopy/statistics & numerical data, Lymph Nodes/pathology, Male, Middle Aged, Neoplasm Recurrence, Local/epidemiology, Postoperative Complications/epidemiology, Postoperative Period, Rectal Neoplasms/pathology, Rectal Neoplasms/surgery, Republic of Korea/epidemiology, Retrospective Studies, Robotics/statistics & numerical data
Relation: MEDICINE; J02214; https://ir.ymlib.yonsei.ac.kr/handle/22282913/156851; T201504766; MEDICINE, Vol.94(11) : e522, 2015; 39979
-
8
Autoren: Wendin, Karin
Quelle: Dietistaktuellt. 23(5):18
-
9
Autoren: et al.
Quelle: ISSN: 1478-5951 ; The international journal of medical robotics and computer assisted surgery, vol. 7, no. 1 (2011) p. 27-32.
Schlagwörter: info:eu-repo/classification/ddc/617, Adrenal Gland Neoplasms/mortality/surgery, Adrenalectomy/mortality, Adult, Aged, 80 and over, Female, Humans, Illinois/epidemiology, Laparoscopy/mortality, Male, Middle Aged, Prevalence, Risk Assessment, Risk Factors, Robotics/statistics & numerical data, Surgery, Computer-Assisted/mortality, Survival Analysis, Survival Rate, Treatment Outcome
Relation: info:eu-repo/semantics/altIdentifier/pmid/21341360; unige:31150
Verfügbarkeit: https://archive-ouverte.unige.ch/unige:31150
Nájsť tento článok vo Web of Science
Full Text Finder