المؤلفون: E. Katayama, H. Maruko, M. Suzuki, S. P. Siddique, T. Miyazaki, T.Q.P. Uyeda, 上田 太郎, 丸子 裕之, 宮崎 崇, 片山 栄作, 鈴木 誠

المصدر: 生物物理 / Seibutsu Butsuri. 2004, 44(supplement):74

المؤلفون: Ashwin Gajendran Vedhapoodi, Vivek Mariappan, Suresh Kumar Narayanan, S Mohamed Siddique, Venugopal Mohan Kumar

المصدر: Journal of Head & Neck Physicians and Surgeons, Vol 8, Iss 2, Pp 119-123 (2020)

مصطلحات موضوعية: anatomical landmark, recurrent laryngeal nerve, thyroidectomy, tubercle of zuckerkandl, Surgery, RD1-811, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

العلاقة: http://www.jhnps.org/article.asp?issn=2347-8128;year=2020;volume=8;issue=2;spage=119;epage=123;aulast=VedhapoodiTest; https://doaj.org/toc/2347-8128Test

الوصول الحر: https://doaj.org/article/4288e15779ab45fd85bb8e253944f129Test

المؤلفون: Selva Kumar, S., Ibrahim, S. P. Siddique, Kalaivani, S.

المصدر: GANs for Data Augmentation in Healthcare ; page 243-251 ; ISBN 9783031432040 9783031432057

الإتاحة: https://doi.org/10.1007/978-3-031-43205-7_14Test

المؤلفون: S P, Siddique Ibrahim, D, Sathya, Swathi, Gundala, P, Parthasarathi

المصدر: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)

الإتاحة: https://doi.org/10.1109/icccnt56998.2023.10306643Test
http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306643.pdf?arnumber=10306643Test

المؤلفون: Ibrahim, S. P. Siddique, Sivabalakrishnan, M.

المصدر: Intelligent Computing in Engineering ; Advances in Intelligent Systems and Computing ; page 681-691 ; ISSN 2194-5357 2194-5365 ; ISBN 9789811527791 9789811527807

الإتاحة: https://doi.org/10.1007/978-981-15-2780-7_74Test

المؤلفون: S. P. Siddique Ibrahim, M. Sivabalakrishnan

المصدر: Intelligent Computing in Engineering ISBN: 9789811527791

مصطلحات موضوعية: Association rule learning, Computer science, business.industry, Patient data, Prediction system, Machine learning, computer.software_genre, Lazy learning, Computer data storage, Anomaly detection, Artificial intelligence, business, Classifier (UML), computer, Associative property

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::17a0a285f0631b137d18f1da359b8400Test
https://doi.org/10.1007/978-981-15-2780-7_74Test

المؤلفون: M. Sivabalakrishnan, S. P. Siddique Ibrahim

المصدر: Recent Advances on Memetic Algorithms and its Applications in Image Processing ISBN: 9789811513619

مصطلحات موضوعية: Decision support system, Artificial neural network, Association rule learning, Heart disease, Computer science, business.industry, Supervised learning, Computational intelligence, Machine learning, computer.software_genre, medicine.disease, Field (computer science), ComputingMethodologies_PATTERNRECOGNITION, medicine, Memetic algorithm, Artificial intelligence, business, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::62d606c8de5a9b2df51ccf566336e8d1Test
https://doi.org/10.1007/978-981-15-1362-6_9Test

المؤلفون: IBRAHIM, S. P. SIDDIQUE, SHANMATHI, J.

المصدر: Turkish Journal of Physiotherapy Rehabilitation; 2021, Vol. 32 Issue 2, p1998-2005, 8p

المؤلفون: Frank Brosstad, Nina M Schjelderup, Turid M. Pedersen, E. C. Ng, S. P. Siddique, Erik Gjertsen, W. Ameln, H. Khiabani, Oystein Meen, Marianne Wettergreen, Gunnar Erikssen, Stine Bjørnsen, M. E. Lauritsen

المصدر: Scandinavian journal of clinical and laboratory investigation. 68(3)

مصطلحات موضوعية: Coronary angiography, Adult, Male, medicine.medical_specialty, Platelet aggregation, Platelet Aggregation, Clinical Biochemistry, Drug Resistance, Coronary Disease, Drug resistance, Coronary Angiography, chemistry.chemical_compound, Reference Values, Internal medicine, Medicine, Humans, In patient, Cyclooxygenase Inhibitors, ASPIRIN RESISTANCE, Aged, Aged, 80 and over, Aspirin, business.industry, General Medicine, Middle Aged, Coronary heart disease, Thromboxane B2, chemistry, Cardiology, Cyclooxygenase 1, Female, business, medicine.drug

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::738da8e86ca5374f8529f05c0a5331d9Test
https://pubmed.ncbi.nlm.nih.gov/17934975Test