標(biāo)題: Titlebook: Artificial Intelligence for Information Management: A Healthcare Perspective; K. G. Srinivasa,Siddesh G. M.,S. R. Mani Sekhar Book 2021 Th [打印本頁(yè)] 作者: gingerly 時(shí)間: 2025-3-21 17:13
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書目名稱Artificial Intelligence for Information Management: A Healthcare Perspective讀者反饋
書目名稱Artificial Intelligence for Information Management: A Healthcare Perspective讀者反饋學(xué)科排名
作者: 我不重要 時(shí)間: 2025-3-21 22:10 作者: Bronchial-Tubes 時(shí)間: 2025-3-22 03:47 作者: Stress-Fracture 時(shí)間: 2025-3-22 07:59
978-981-16-0417-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Ordeal 時(shí)間: 2025-3-22 09:24
Sensor Data Analytics for Health Careit to be integrated into every part of people’s lives. Taking advantage of this could prove to be very useful in the domain of healthcare. Various sensor technologies have been explored in this chapter with two case studies to emphasize the importance of combining the forces of health care with sensor technology and data analysis.作者: Mawkish 時(shí)間: 2025-3-22 13:41 作者: 半球 時(shí)間: 2025-3-22 20:56
Faith Community Nursing: As Health Ministryormance in the field of science and technology. Replicating human intelligence, solving knowledge-intensive tasks, building machines, which can perform tasks, that require human intelligence, creating some system which can learn by itself are the few specific goals of AI. Machine learning and deep l作者: Cougar 時(shí)間: 2025-3-23 01:17 作者: Crohns-disease 時(shí)間: 2025-3-23 05:23 作者: arousal 時(shí)間: 2025-3-23 06:42 作者: 緩和 時(shí)間: 2025-3-23 13:41
https://doi.org/10.1007/978-3-031-09349-4SM allows for 2-way communication among the patients, health experts, and third parties. It has become a major platform in which the public searches for information related to health care. Hence, the SM has developed as the largest source of discussions related to health care worldwide. Rich healthc作者: 污穢 時(shí)間: 2025-3-23 15:32 作者: 行乞 時(shí)間: 2025-3-23 20:06 作者: 灌溉 時(shí)間: 2025-3-24 00:34 作者: 爭(zhēng)議的蘋果 時(shí)間: 2025-3-24 04:18 作者: lacrimal-gland 時(shí)間: 2025-3-24 08:05
Confucianism and Sustainabilityy of a person’s daily activities. Plenty of research has been carried out toward the treatment and management of dementia. Some of the supportive medicines can treat this condition to a given extent but cannot cure it permanently. In this chapter, we present new ways of managing dementia by involvin作者: Reclaim 時(shí)間: 2025-3-24 10:43
Faith Traditions and Sustainabilityassification is always encouraged. In the proposed system, we are going to classify Leukemia into Acute Lymphocytic Leukemia (ALL) and Acute Myeloid Leukemia (AML) and also going to predict who is at cancer risk by monitoring gene expressions. Leukemia is a blood or bone marrow type of cancer which 作者: Classify 時(shí)間: 2025-3-24 16:33
Sheila K. Hanson,Ksenia Keplingerof the COVID-19 in many ways. Estimation of basic reproduction number and herd immunity has become an important question which might support policy makers to take decisions for the improvement of the current scenario. In this chapter, the autoregressive integrated moving average (ARIMA) tool has bee作者: CHART 時(shí)間: 2025-3-24 21:21
Faith Traditions and Sustainabilitycal images, skin conditions, retinal conditions of the eye), in the diagnosis of disease, predicting disease onset, treatment outcomes, and recently unraveling previously hidden associations. AI-based applications are available for identifying diabetic eye changes. As AI comes into mainstream medici作者: 咯咯笑 時(shí)間: 2025-3-25 02:46 作者: 莊嚴(yán) 時(shí)間: 2025-3-25 04:34 作者: Factual 時(shí)間: 2025-3-25 11:17 作者: 牢騷 時(shí)間: 2025-3-25 12:53 作者: Ige326 時(shí)間: 2025-3-25 19:39 作者: 車床 時(shí)間: 2025-3-25 21:39 作者: EWER 時(shí)間: 2025-3-26 00:16
Donna Callaghan,Judy Ann Shackelfording methods, for direct relapse, straight discriminant examination, bolster vector machine, innocent Bayes classifier, neural systems, and choice trees. Every one of these techniques is described in detail, which thus helps the reader to create our own answers for the given issues.作者: defile 時(shí)間: 2025-3-26 04:20
Faith Community Nursing: As Health Ministrygnosis. AI provides advanced devices, advanced drug designing techniques, tele-treatment, physician–patient communication using Chatbots and intelligent machines used for analyzing the cause and the chances of occurrence of any disease in the field of health care.作者: 眉毛 時(shí)間: 2025-3-26 09:51
https://doi.org/10.1007/978-3-031-09349-4ulti-domain techniques to extract information to an even greater extent. The high-quality information retrieved from the analysis can be further used to determine and diagnose more symptoms and hence help in providing accurate solutions.作者: periodontitis 時(shí)間: 2025-3-26 14:17 作者: Foreshadow 時(shí)間: 2025-3-26 17:07 作者: Connotation 時(shí)間: 2025-3-26 22:26
Multi-modal Data-Driven Analytics for Health Careulti-domain techniques to extract information to an even greater extent. The high-quality information retrieved from the analysis can be further used to determine and diagnose more symptoms and hence help in providing accurate solutions.作者: Brittle 時(shí)間: 2025-3-27 04:39
Book 2021chine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics..作者: Rodent 時(shí)間: 2025-3-27 05:49
Mai Chi Vu,Nadia Singh,Irene Chunt data science-oriented tools and methods for healthcare analytics. A case study on the usage of different tools and techniques is also presented at the end of the chapter that provides the complete life-cycle of the analytics phase for healthcare applications.作者: Criteria 時(shí)間: 2025-3-27 11:29 作者: HPA533 時(shí)間: 2025-3-27 15:53
Book 2021in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts – part A discusses introduction to artificial intelligence and ma作者: 警告 時(shí)間: 2025-3-27 17:50
Introduction to Healthcare Information Management and Machine Learningter science, information science, information management, medicinal, business and data analytics. Machine Learning (ML) in healthcare evolving as an emerging field for healthcare industry. They help in analyzing the health data more effectively and timely. ML is one of the vital regions in the field作者: AVANT 時(shí)間: 2025-3-28 01:52 作者: Affable 時(shí)間: 2025-3-28 05:14
Healthcare Data Analytics Using Artificial Intelligencegineering of creating intelligent machines, specifically intelligent computer programs. The application of AI in different domains indicates the widespread involvement of this technology. One such application is in healthcare. Healthcare is one of the aspects which regulate health. Healthcare can be作者: 使閉塞 時(shí)間: 2025-3-28 06:26
Data Collection and Processing in Health Carecessing data in every field like humanities, social science, engineering, business, etc. They play an important role in health care services as well. The volume of data in the health care sector increases exponentially day by day, hence the collection of data becomes not only important but also a te作者: RAG 時(shí)間: 2025-3-28 13:04 作者: grounded 時(shí)間: 2025-3-28 17:40
Social Media Analytics for Health CareSM allows for 2-way communication among the patients, health experts, and third parties. It has become a major platform in which the public searches for information related to health care. Hence, the SM has developed as the largest source of discussions related to health care worldwide. Rich healthc作者: Amplify 時(shí)間: 2025-3-28 22:41
Multi-modal Data-Driven Analytics for Health Careell. With the vast amount of healthcare data available in various forms such as image, video, text, and due to emerging technologies and advancements in data science, tools are being created to ease the process of medical analysis and provide an efficient and accurate diagnosis of the patient. Such 作者: Ointment 時(shí)間: 2025-3-29 01:11
Security and Privacy Issues in Health Carehealthcare data that is collected and analyzed online is in jeopardy. The task of the data handler is to ensure that the patient’s information given to any healthcare organization is kept confidential so that their data is kept safe and secure. The information security and privacy are involved in th作者: RUPT 時(shí)間: 2025-3-29 05:37
Healthcare Data Visualization is almost equivalent to 0.5 Million TB or it is enough to occupy 10 Million Blue-ray disks. The amount of data is expected to surpass 44 trillion gigabytes at the end of 2020 (as compared to 4.4 trillion gigabytes during the end of 2013). The lion’s share of the data being recorded in the informati作者: abolish 時(shí)間: 2025-3-29 11:13 作者: cataract 時(shí)間: 2025-3-29 14:29
Management of Dementia Through Self-help and Assistive Technologiesy of a person’s daily activities. Plenty of research has been carried out toward the treatment and management of dementia. Some of the supportive medicines can treat this condition to a given extent but cannot cure it permanently. In this chapter, we present new ways of managing dementia by involvin作者: Arable 時(shí)間: 2025-3-29 17:11
Classification and Prediction of Leukemia Using Gene Expression Profileassification is always encouraged. In the proposed system, we are going to classify Leukemia into Acute Lymphocytic Leukemia (ALL) and Acute Myeloid Leukemia (AML) and also going to predict who is at cancer risk by monitoring gene expressions. Leukemia is a blood or bone marrow type of cancer which 作者: 修飾 時(shí)間: 2025-3-29 20:11 作者: Hippocampus 時(shí)間: 2025-3-30 00:37
Artificial Intelligence in Medicine: Diabetes as a Modelcal images, skin conditions, retinal conditions of the eye), in the diagnosis of disease, predicting disease onset, treatment outcomes, and recently unraveling previously hidden associations. AI-based applications are available for identifying diabetic eye changes. As AI comes into mainstream medici作者: dissolution 時(shí)間: 2025-3-30 05:17
Smart Healthcare: Using IoT and Machine Learning-Based Analytics to convey improved patient consideration while lessening the human services costs. The Medical Services industry faces tremendous difficulties to spare the information produced and to process it to separate information out of it. The expanding volume of human services information created through Io作者: HIKE 時(shí)間: 2025-3-30 11:28
Healthcare Data Analytics Using Artificial Intelligenceication of AI algorithms in the field of medicine and healthcare would assist doctors to establish improved approaches and treatment strategies for patients. AI is used in all three traditional medical tasks: diagnosis, prediction, and therapy. This chapter discusses the relationship between AI and 作者: hair-bulb 時(shí)間: 2025-3-30 15:05
Data Collection and Processing in Health Careos and cons. The data collected has to be processed in order to get the analysis for that particular set of data. Based on the analysis, different steps could be taken by the health organizations in order to achieve their task. Every year millions of dollars are spent on data collection and processi作者: Lime石灰 時(shí)間: 2025-3-30 16:53
Social Media Analytics for Health Carethis chapter describes how Social Media Analytics (SMA) is being applied in the domain of health care. The chapter focuses on the different SMA approaches used in health care, followed by certain recent case studies of SMA in health care. The research areas that can be explored for SMA in healthcare
