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1دورية أكاديمية
المؤلفون: Seyedmostafa Sheikhalishahi, Mathias Kaspar, Sarra Zaghdoudi, Julia Sander, Philipp Simon, Benjamin P Geisler, Dorothea Lange, Ludwig Christian Hinske
المصدر: PLOS Digital Health, Vol 3, Iss 3, p e0000478 (2024)
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Lena Pigat, Benjamin P Geisler, Seyedmostafa Sheikhalishahi, Julia Sander, Mathias Kaspar, Maximilian Schmutz, Sven Olaf Rohr, Carl Mathis Wild, Sebastian Goss, Sarra Zaghdoudi, Ludwig Christian Hinske
المصدر: JMIR Medical Informatics, Vol 12, Pp e50642-e50642 (2024)
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani
المصدر: PLoS ONE, Vol 15, Iss 7, p e0235424 (2020)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1932-6203
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المؤلفون: Anirban Bhattacharyya, Seyedmostafa Sheikhalishahi, Heather Torbic, Wesley Yeung, Tiffany Wang, Jennifer Birst, Abhijit Duggal, Leo Anthony Celi, Venet Osmani
المصدر: JAMIA open. 5(2)
مصطلحات موضوعية: Health Informatics
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d211de4c3b8e06a4ab519ceb4924be47
https://pubmed.ncbi.nlm.nih.gov/35702626 -
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المؤلفون: Mahshid Majd, Venet Osmani, Seyedmostafa Sheikhalishahi, Behrooz Mamandipoor, Claudio Modena
المصدر: Environmental Monitoring and Assessment. 192
مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Computer science, media_common.quotation_subject, Wastewater, 010501 environmental sciences, Management, Monitoring, Policy and Law, computer.software_genre, 01 natural sciences, Fault detection and isolation, Machine Learning, Deep Learning, Quality (business), 0105 earth and related environmental sciences, General Environmental Science, media_common, business.industry, Deep learning, Process (computing), General Medicine, Energy consumption, Pollution, Nonlinear system, Data point, Neural Networks, Computer, Artificial intelligence, Data mining, business, computer, Environmental Monitoring
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المؤلفون: Alberto Lavelli, Fabio Rinaldi, Riccardo Miotto, Venet Osmani, Seyedmostafa Sheikhalishahi, Joel T. Dudley
المساهمون: University of Zurich, Osmani, Venet
المصدر: JMIR Medical Informatics
PubMed Centralمصطلحات موضوعية: FOS: Computer and information sciences, lung disease, 020205 medical informatics, Computer science, 02 engineering and technology, Disease, Review, heart disease, computer.software_genre, chronic diseases, Computer Science - Computers and Society, 0302 clinical medicine, Health Information Management, 0202 electrical engineering, electronic engineering, information engineering, 030212 general & internal medicine, clinical notes, 10. No inequality, Interpretability, 2718 Health Informatics, education.field_of_study, Computer Science - Computation and Language, diabetes, Medical record, 11476 Digital Society Initiative, Unstructured data, stroke, 3. Good health, Identification (information), Systematic review, machine learning, Computation and Language (cs.CL), Natural language processing, Information Retrieval (cs.IR), Computer Science - Artificial Intelligence, Population, Health Informatics, Translational research, 410 Linguistics, 000 Computer science, knowledge & systems, Computer Science - Information Retrieval, 03 medical and health sciences, Computers and Society (cs.CY), cancer, natural language processing, education, business.industry, deep learning, Artificial Intelligence (cs.AI), electronic health records, 10105 Institute of Computational Linguistics, Artificial intelligence, business, computer
وصف الملف: document.pdf - application/pdf
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المؤلفون: Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
المصدر: JMIR Medical Informatics
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المؤلفون: Vevake Balaraman, Seyedmostafa Sheikhalishahi, Venet Osmani
المصدر: PLoS ONE
PLoS ONE, Vol 15, Iss 7, p e0235424 (2020)مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Source code, Computer science, Datasets as Topic, 02 engineering and technology, computer.software_genre, Task (project management), Machine Learning (cs.LG), Machine Learning, Mathematical and Statistical Techniques, Endocrinology, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Medicine and Health Sciences, Hospital Mortality, media_common, 0303 health sciences, Multidisciplinary, Suite, Statistics, Benchmarking, Hospitals, Intensive Care Units, Phenotypes, Physical Sciences, Benchmark (computing), Medicine, 020201 artificial intelligence & image processing, Algorithms, Research Article, Computer and Information Sciences, Critical Care, Endocrine Disorders, media_common.quotation_subject, Science, Machine Learning (stat.ML), Machine learning, Research and Analysis Methods, 03 medical and health sciences, Deep Learning, Artificial Intelligence, Clinical Decision Rules, Genetics, Diabetes Mellitus, Humans, Decompensation, Statistical Methods, Categorical variable, Artificial Neural Networks, 030304 developmental biology, Computational Neuroscience, business.industry, Deep learning, Biology and Life Sciences, Computational Biology, Length of Stay, Health Care, Health Care Facilities, Metabolic Disorders, Artificial intelligence, business, computer, Software, Mathematics, Neuroscience, Forecasting
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0b5f6037a41239395dde26e46adf44b
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المؤلفون: Abhijit Duggal, Sudhir Krishnan, Venet Osmani, Seyedmostafa Sheikhalishahi, A. Bhattacharyya, Siddharth Dugar
المصدر: Critical Care Medicine. 48:182-182
مصطلحات موضوعية: medicine.medical_specialty, business.industry, Critically ill, Deep learning, medicine, Delirium, Artificial intelligence, medicine.symptom, Critical Care and Intensive Care Medicine, Intensive care medicine, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::57c7c2f018ee396c21f1aca69614e1df
https://doi.org/10.1097/01.ccm.0000619952.70488.fb
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