검색어 : 통합검색[Machine learning and AI for healthcare :]
총 2,793건 중 1,000건 출력
, 5/100 페이지
-
41
- Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method
- Liu, Sot Shih-Hung; Ma, Cheng-Jiun; Chou, Fan-Ya; Cheng, Michelle Yuan-Chiao; Wang, Chih-Hung; Tsai, Chu-Lin; Duh, Wei-Jou; Huang, Chien-Hua; Lai, Feipei; Lu, Tsung-Chien; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan; MOST Joint Research Center for AI Technology and All VISTA Healthcare (AINTU), Taipei, Taiwan; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan; MOST Joint Research Center for AI Technology and All VISTA Healthcare (AINTU), Taipei, Taiwan; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan; MOST Joint Research Center for AI Technology and All VISTA Healthcare (AINTU), Taipei, Taiwan; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan; National Taiwan University, Graduate Institute of Biomedical Electronics and Bioinformatics, Taipei, Taiwan; National Taiwan University Hospital, Department of Emergency Medicine, Taipei, Taiwan; (The western journal of emergency medicine, v.24, 2023, pp.693-702)
-
42.
- 기계학습의 웨어러블 바이오센서와 가시광 통신을 이용한 스마트 헬스케어
- Vega Pradana Rachim
- 부경대학교 대학원, 국내박사, xvii,164, 2019
-
43
- IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare-A Review
- Ghazal, Taher M.; Hasan, Mohammad Kamrul; Alshurideh, Muhammad Turki; Alzoubi, Haitham M.; Ahmad, Munir; Akbar, Syed Shehryar; Al Kurdi, Barween; Akour, Iman A.; Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebansaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia; Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebansaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia; Department of Marketing, School of Business, The University of Jordan, Amman 11942, Jordan; School of Business, Skyline University College, Sharjah 1797, United Arab Emirates; School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan; School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan; Department of Business Administration, Faculty of Economics and Administrative Sciences, The Hashemite University, Zarqa 13115, Jordan; Department of Information Systems, College of Computing and Informatics, University of Sharjah, Sharjah 27272, United Arab Emirates; (Future internet, v.13, 2021, pp.218)
-
44
- Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning–Based Clinical Decision Support Systems
- Besculides, Melanie; Mazumdar, Madhu; Phlegar, Sydney; Freeman, Robert; Wilson, Sara; Joshi, Himanshu; Kia, Arash; Gorbenko, Ksenia; Institute for Healthcare Delivery Science Icahn School of Medicine at Mount Sinai New York, NY United States; Institute for Healthcare Delivery Science Icahn School of Medicine at Mount Sinai New York, NY United States; Department of Psychology New York University New York, NY United States; Institute for Healthcare Delivery Science Icahn School of Medicine at Mount Sinai New York, NY United States; Clinical Nutrition Icahn School of Medicine at Mount Sinai New York, NY United States; Institute for Healthcare Delivery Science Icahn School of Medicine at Mount Sinai New York, NY United States; Institute for Healthcare Delivery Science Icahn School of Medicine at Mount Sinai New York, NY United States; Institute for Healthcare Delivery Science Ica; (JMIR formative research, v.7, 2023, pp.e42262)
-
45
- Optimized Tiny Machine Learning and Explainable AI for Trustable and Energy-Efficient Fog-Enabled Healthcare Decision Support System
- Arthi, R.; Krishnaveni, S.; ; (International journal of computational intelligence systems, v.17, 2024, pp.229)
-
46
- The Role of AI and Machine Learning in Full Stack Development for Healthcare Applications
- Gurusamy Ashokkumar; Mohamed Ikram Ahamed; ; (Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), v.1, 2021, pp.116-123)
-
47
- Applying Internet of Things and Machine-Learning for Personalized Healthcare: Issues and Challenges
- Ahamed, Farhad; Farid, Farnaz; ; (Machine Learning and Data Engineering (iCMLDE), 2018 International Conference on, v.2018, 2018, pp.19-21)
-
48
- AI in Context: Harnessing Domain Knowledge for Smarter Machine Learning
- Miller, Tymoteusz; Durlik, Irmina; Łobodziń ska, Adrianna; Dorobczyń ski, Lech; Jasionowski, Robert; Institute of Marine and Environmental Sciences, University of Szczecin, 71-314 Szczecin, Poland; Faculty of Navigation, Maritime University of Szczecin, 71-650 Szczecin, Poland; Institute of Biology, University of Szczecin, 71-316 Szczecin, Poland; Faculty of Mechatronics and Electrical Engineering, Maritime University of Szczecin, 71-650 Szczecin, Poland; Faculty of Marine Engineering, Maritime University of Szczecin, 71-650 Szczecin, Poland; (Applied sciences, v.14, 2024, pp.11612)
-
49
- Optimizing human-centered AI for healthcare in the Global South
- Okolo, Chinasa T.; Department of Computer Science, Cornell University, Ithaca, NY 14853, USA; (Patterns, v.3, 2022, pp.100421)
-
50
- Machine Learning in Healthcare
- Habehh, Hafsa; Gohel, Suril; Department of Health Informatics, Rutgers University School of Health Professions, 65 Bergen Street, Newark, NJ 07107 , USA; Department of Health Informatics, Rutgers University School of Health Professions, 65 Bergen Street, Newark, NJ 07107 , USA; (Current genomics, v.22, 2021, pp.291-300)
QUICK MENU
