Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Amarjeet Singh Cheema"'
Publikováno v:
Proceedings of Emerging Trends and Technologies on Intelligent Systems ISBN: 9789811941818
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f46c6b0e2eb7eb6c8654c34bc0b0c4
https://doi.org/10.1007/978-981-19-4182-5_7
https://doi.org/10.1007/978-981-19-4182-5_7
Publikováno v:
Proceedings of Emerging Trends and Technologies on Intelligent Systems ISBN: 9789811630965
Managing hospital resources has been one of the key challenges in the domain of health informatics and Hospital Management Information Systems (HMISs). With increasing patient loads and limited health infrastructure, optimizing hospital resources for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d91200e2a0ac3b97d1f9d5b7e1724640
https://doi.org/10.1007/978-981-16-3097-2_13
https://doi.org/10.1007/978-981-16-3097-2_13
Autor:
Amarjeet Singh Cheema, Siddharth Srivastava, Abhijat Chaturvedi, Praveen K Srivastava, Astha Rai
Publikováno v:
2020 IEEE 17th India Council International Conference (INDICON).
This paper studies the technical characteristics of a Unique Health Identifier (UHID) in Indian and global context while also dwells upon the usage of Aadhaar has a Unique Health Identifier in India. Specifically, we highlight the major properties of
Autor:
Astha Rai, Siddharth Srivastava, Abhijat Chaturvedi, Rajeev Aravindakshan, Amarjeet Singh Cheema, Desham Chelimela
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811578038
Machine learning has proven its ability in health care as an assisting technology for health care providers either by saving precious time or timely alerts or vitals monitoring. However, their application in real world is limited by availability of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94ba537078b64111d6a99d207a6f2a2f
https://doi.org/10.1007/978-981-15-7804-5_10
https://doi.org/10.1007/978-981-15-7804-5_10
Publikováno v:
CBMS
Management of high patient loads at tertiary hospitals presents a significant challenge in streamlining healthcare service delivery. Patients often need to queue up at various service areas in hospitals such as at registration, laboratory test and bi
Publikováno v:
CBMS
This paper introduces a novel approach for dengue fever classification based on online learning paradigms. The proposed approach is suitable for practical implementation as it enables learning using only a few training samples. With time, the propose
Publikováno v:
ICPRAM
The application of data mining, machine learning and artificial intelligence techniques in the field of diagnostics is not a new concept, and these techniques have been very successfully applied in a variety of applications, especially in dermatology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ea4327301afaa65299a2b445134a3b8
Publikováno v:
ICCCNT
Hospital Information Management Systems (HMIS) have played a crucial role in transformation and digitization of healthcare services in developing nations. One of the key components of a HMIS is the terminology adopted for standardizing entry and refe
Publikováno v:
2018 3rd International Conference on Contemporary Computing and Informatics (IC3I).
This paper aims at studying the problem of face recognition using very few examples. Face recognition is a tough problem yet is important for several practical applications. Contemporary techniques require thousands of samples to recognize them effec
Autor:
Amarjeet Singh Cheema
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811307546
In today’s world of IT revolution, the data generated in most organizations is voluminous, heterogeneous and at high velocity which is popularly known as Big data. Data in the retail industry is increasing exponentially. In today’s hyper-competit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5d54f02ae5e690d2569ad6198875f24
https://doi.org/10.1007/978-981-13-0755-3_9
https://doi.org/10.1007/978-981-13-0755-3_9