Titlebook: Signal Processing Techniques for Computational Health Informatics; Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed Book 2021 Springer Nature Sw

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Health Informatics: Challenges and Opportunities,portunities and some recommendations as the future directions for HI. All the pertinent aspects are discussed in this chapter with a view to relating their significance in HI and its applications. On the whole, the chapter ensures the fundamental information one needs to step into the world of HI.

nepotism

,Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies,on’s disease, (2) stress management, (3) postoperative pain treatment, (4) driver monitoring, and (5) remote health monitoring. Here, the challenges, solutions, models, results, limitations are discussed with future wishes.

Muffle

Risk Prediction with Machine Learning in Cesarean Section: Optimizing Healthcare Operational Decisi by considering some important situations of pregnant women using different ML algorithms. In this situation, several data imbalanced techniques were implemented in the cesarean data. Then, various classifiers were applied to the derived balanced and base cesarean sample. After applying ML classifiers, we have received a success rate over 95%.

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大炮

Health Information Retrieval,d techniques for health information retrieval are generally categorized into (a) general classical retrieval models and (b) advanced re-ranking techniques. This chapter also presents the details of the datasets, evaluation metrics and procedures to validate the performance of any HIR methods.

obligation

Origin and Dynamics of Biomedical Signals,ending on external impulse and signal acquisition site, of prominent bioelectrical signals require thorough analysis. Apart from the above mentioned ones, there are other bioelectrical signals, originating from various parts and systems of the body, such as the EOG, ECoG and EGG. Furthermore, the dy

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UTTER

Image Processing in Health Informatics, in such surgery systems. Therefore, in this chapter, we shortly cover core principal medical image processing techniques, image enhancement, and compression. We consider to cover these techniques as they handle the most two challenges in biomedical imaging, which are image quality and image storage

Lumbar-Stenosis

Reconfigurable Computing and Hardware Acceleration in Health Informatics,s the technique of designing application-specific circuits rather than using the general purpose processors to do the signal processing. Because of its low cost and fast computation property, reconfigurable architecture is characteristically suitable for Health Informatics and has become one of the

amputation

Automatic Epileptic Seizures Detection and EEG Signals Classification Based on Multi-domain Featureon, three-class and five-class classification of the EEG signals. The dataset has been collected from the University of Bonn. This method attained an accuracy of 99.54%, sensitivity of 98.56% and specificity of 99.76% for epileptic seizures detection. For three-class and five-class classification, a