Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine process analyse characterize classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues and research on integration of big data analytics with respect to clinical practice and clinical utility architectures and clustering techniques for IoT data processing effective frameworks for removal of misclassified instances practicality of big data analytics methodological and technical issues potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data IoT soft computing machine learning augmented reality organs on chip personalized drugs implantable electronics integration of bio-interfaces and wearable sensors devices practical body area network (BAN) and architectures of web systems. Key Features:Addresses various applications of Medical Big Data and Internet of Medical Things in real time environmentHighlights recent innovations designs developments and topics of interest in machine learning techniques for classification of medical dataProvides background and solutions to existing challenges in Medical Big Data and Internet of Medical ThingsProvides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical dataDiscusses interactions advantages limitations challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT)Presents case studies on the next generation medical chair electronic nose and pill cam are also presented. | Medical Big Data and Internet of Medical Things Advances Challenges and Applications
Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine process analyse characterize classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues and research on integration of big data analytics with respect to clinical practice and clinical utility architectures and clustering techniques for IoT data processing effective frameworks for removal of misclassified instances practicality of big data analytics methodological and technical issues potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data IoT soft computing machine learning augmented reality organs on chip personalized drugs implantable electronics integration of bio-interfaces and wearable sensors devices practical body area network (BAN) and architectures of web systems. Key Features:Addresses various applications of Medical Big Data and Internet of Medical Things in real time environmentHighlights recent innovations designs developments and topics of interest in machine learning techniques for classification of medical dataProvides background and solutions to existing challenges in Medical Big Data and Internet of Medical ThingsProvides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical dataDiscusses interactions advantages limitations challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT)Presents case studies on the next generation medical chair electronic nose and pill cam are also presented. | Medical Big Data and Internet of Medical Things Advances Challenges and Applications
Sellers offer a range of delivery options, so you can choose the one that’s most convenient for you. Many sellers offer free delivery. You can always find the postage cost and estimated delivery date in a seller’s listing. You'll then be able to see a full list of delivery options during checkout. These can include: Express delivery, Standard delivery, Economy delivery, Click & Collect, Free local collection from seller.
Your options for returning an item vary depending on what you want to return, why you want to return it, and the seller's return policy. If the item is damaged or doesn't match the listing description, you can return it even if the seller's returns policy says they don't accept returns. If you've changed your mind and no longer want an item, you can still request a return, but the seller doesn't have to accept it. If the buyer changes their mind about a purchase and wants to return an item, they may need to pay return postage costs, depending on the seller's return policy. Sellers can provide a return postage address and additional return postage information for the buyer. Sellers pay for return postage if there's a problem with the item. For example, if the item doesn't match the listing description, is damaged or defective or is counterfeit. By law, customers in the European Union also have the right to cancel the purchase of an item within 14 days beginning from the day you receive, or a third party indicated by you (other than the carrier) receives, the last good ordered by you (if delivered separately). This applies to all products except for digital items (e.g. Digital Music) that are provided immediately to you with your acknowledgement, and other items such as video, DVD, audio, video games, Sex and Sensuality products and software products where the item has been unsealed.
Sellers have to offer a refund for certain items only if they are faulty, such as: Personalised items and custom-made items, Perishable items, Newspapers and magazines, Unwrapped CDs DVDs and computer software. If you used your PayPal balance or bank account to fund the original payment, the refunded money will go back to your PayPal account balance. If you used a credit or debit card to fund the original payment, the refunded money will go back to your card. The seller will effect the refund within three working days but it may take up to 30 days for Paypal to process the transfer. For payments funded partially by a card and partially by your balance/bank, the money taken from your card will go back to your card and the remainder will return to your PayPal balance.