Pradeep Kumar Singh; Sanjay Sood; Yugal Kumar; Marcin Paprzycki; Anton Pljonkin; Wei-Chiang Hong Springer Verlag, Singapore (2020) Pehmeäkantinen kirja
Pradeep Kumar Singh; Gennady Veselov; Valeriy Vyatkin; Anton Pljonkin; Juan Manuel Dodero; Yugal Kumar Springer Verlag, Singapore (2021) Pehmeäkantinen kirja
Pradeep Kumar Singh; Sławomir T. Wierzchoń; Wiesław Pawłowski; Arpan Kumar Kar; Yugal Kumar Springer International Publishing AG (2023) Kovakantinen kirja
Pradeep Kumar Singh; Sławomir T. Wierzchoń; Wiesław Pawłowski; Arpan Kumar Kar; Yugal Kumar Springer International Publishing AG (2024) Pehmeäkantinen kirja
Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics.
In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data.
This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT.
