標(biāo)題: Titlebook: Machine Learning with Health Care Perspective; Machine Learning and Vishal Jain,Jyotir Moy Chatterjee Book 2020 Springer Nature Switzerland [打印本頁] 作者: 漠不關(guān)心 時(shí)間: 2025-3-21 18:34
書目名稱Machine Learning with Health Care Perspective影響因子(影響力)
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書目名稱Machine Learning with Health Care Perspective網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Machine Learning with Health Care Perspective讀者反饋
書目名稱Machine Learning with Health Care Perspective讀者反饋學(xué)科排名
作者: 新陳代謝 時(shí)間: 2025-3-21 23:54 作者: 來就得意 時(shí)間: 2025-3-22 04:05
Book 2020ase studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges. .作者: 腐爛 時(shí)間: 2025-3-22 08:14 作者: 不如屎殼郎 時(shí)間: 2025-3-22 09:22
rtical and horizontal profiles obtained in summer with aircraft flights. Aerosol size data has been obtained with diffusion batteries, electrostatic precipitators, and cascade impactors..There is a strong (5 to 1) seasonal variation in surface aerosol concentrations, with the maximum aerosol concent作者: atopic-rhinitis 時(shí)間: 2025-3-22 16:49 作者: filicide 時(shí)間: 2025-3-22 18:45
Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications,e seen an exponential progress in publications on AI. However, with the advent of increased computational power, availability of AI devices was increased. There are two main devices in AI, machine learning, where structured data (i.e. images, EP and genetic data) are analyzed and natural language pr作者: ANT 時(shí)間: 2025-3-22 21:45
Intelligent Learning Analytics in Healthcare Sector Using Machine Learning,involves Supervised, Unsupervised and Reinforcement Learning. These techniques become important to unearth the hitherto unknown relationship from data which become useful for society. In the proposed chapter, the author has discussed the intelligent learning analytics achieved using Machine Learning作者: Gobble 時(shí)間: 2025-3-23 03:46
Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization, noises, granularity, unlabeled behavior that make it tough to find pattern and visualize an outcome. To solve this issue machine learning proposes an algorithm like clustering, which is mainly part of unsupervised learning. In the proposed model we used the unsupervised learning specifically the cl作者: 枯燥 時(shí)間: 2025-3-23 09:24 作者: 使出神 時(shí)間: 2025-3-23 13:35 作者: 漫不經(jīng)心 時(shí)間: 2025-3-23 17:11 作者: MOT 時(shí)間: 2025-3-23 19:44
Deep Learning Solutions for Skin Cancer Detection and Diagnosis, cancer is of two types: melanoma and non-melanoma. Melanoma also called as Malignant Melanoma is the 19th most frequently occurring cancer in women and men. It is the deadliest form of skin cancer [.]. In the year 2015, the global occurrence of melanoma was approximated to be over 350,000 cases, wi作者: cogent 時(shí)間: 2025-3-24 02:13
Security of Healthcare Systems with Smart Health Records Using Cloud Technology,ce information technologies which is comprises of huge and bulky computers and linked with online web and internet. This is also termed as distributed computing which transfer data from one source to another and can be access and controlled by authorized users in healthcare organization. The cloud c作者: MOT 時(shí)間: 2025-3-24 03:10
Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data attitudes towards health are likely to lead to a variety of illnesses and can be life threatening. In the healthcare industry, large amounts of data are frequently generated. However, it is often not used effectively. The data indicates that the generated image, sound, text, or file has some hidden作者: coagulate 時(shí)間: 2025-3-24 07:40 作者: SAGE 時(shí)間: 2025-3-24 12:46
,Machine Learning Methods for Managing Parkinson’s Disease,of neuroprotective therapies can help minimize the early impairments in PD. Early diagnosis would play major role in facilitating such proactive treatment plan. However, the conventional methods of PD diagnosis suffer from less accessibility, high costs, human bias and patient inconvenience. Moreove作者: 技術(shù) 時(shí)間: 2025-3-24 16:35 作者: Pathogen 時(shí)間: 2025-3-24 21:39 作者: 束縛 時(shí)間: 2025-3-24 23:44
Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approacr well-being. The world recognizes that the convenience provided by modern technology does not necessarily make life happy. In fact, apart from stress, fears arise from an increasing number of unknown illnesses, verbal anxiety, and highly polluted environments and environmental imbalances. This crea作者: GREEN 時(shí)間: 2025-3-25 05:10 作者: BABY 時(shí)間: 2025-3-25 08:46 作者: 即席 時(shí)間: 2025-3-25 14:32 作者: 提煉 時(shí)間: 2025-3-25 17:18 作者: Muffle 時(shí)間: 2025-3-25 21:49 作者: MELD 時(shí)間: 2025-3-26 01:43 作者: Explosive 時(shí)間: 2025-3-26 06:09
Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to Determine Human like carpal bones, fusion of radius and ulna. The current study aspires to accomplish the purpose in developing a computer aided system that identifies features from teeth, wrist and femur bone that will provide accurate gender identification and age estimation in less time. There is more scope for 作者: CRUDE 時(shí)間: 2025-3-26 08:44 作者: 背書 時(shí)間: 2025-3-26 13:01
Security of Healthcare Systems with Smart Health Records Using Cloud Technology,iability and privacy are some of the hot issues which are existing in cloud computing. The proposed chapter includes various factors affecting cloud computing security and comparative analysis of existing algorithms for cloud computing security in healthcare.作者: 受傷 時(shí)間: 2025-3-26 19:34
Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Dataharacteristics of the medical history. Use input features such as gender, cholesterol, blood pressure, TTH, and stress to predict the patient’s risk of heart disease. Data mining (DM) techniques such as Naive Bayes, decision trees, support vector machines, and logistic regression are analyzed in the作者: 北極熊 時(shí)間: 2025-3-26 21:31
Medical Text and Image Processing: Applications, Issues and Challenges,background for the research work in the area of machine learning and deep learning, (ii) provide the brief about various types of medical texts and images, (iii) discuss the various existing models and applications of natural language processing, machine learning, computer vision and deep learning i作者: Malcontent 時(shí)間: 2025-3-27 04:56 作者: jet-lag 時(shí)間: 2025-3-27 07:53
An Efficient Method for Computer-Aided Diagnosis of Cardiac Arrhythmias,ng between them based on their morphology. Further, the R-peak to R-peak information between heartbeats are captured and concatenated with the output time-frequency coefficients. As a result, this final feature vector represents each heartbeat that are applied to support vector machine (SVM) model f作者: 特別容易碎 時(shí)間: 2025-3-27 11:08 作者: 蓋他為秘密 時(shí)間: 2025-3-27 17:30 作者: 蛙鳴聲 時(shí)間: 2025-3-27 17:54
Identifying Diseases and Diagnosis Using Machine Learning,dimensions of data about separate patients, the enormous volume of information certainty for human beings to scrutinizes. To identify and diagnosing diseases using Machine learning, brings a method to mechanical discovery of outlines and aim about information, which permits healthcare experts to int作者: 個(gè)人長篇演說 時(shí)間: 2025-3-27 22:53
2662-3447 rning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges. .978-3-030-40852-7978-3-030-40850-3Series ISSN 2662-3447 Series E-ISSN 2662-3455 作者: altruism 時(shí)間: 2025-3-28 04:41
Rohit Rastogi,D. K. Chaturvedi,Santosh Satya,Navneet Arora作者: Hyperalgesia 時(shí)間: 2025-3-28 07:59
Rohit Rastogi,Mamta Saxena,Muskan Maheshwari,Priyanshi Garg,Muskan Gupta,Rajat Shrivastava,Mukund Ra作者: Eviction 時(shí)間: 2025-3-28 12:31
imum particle radius found was 3 μm and the peak volume concentration occurred at 2 μm radius. The size distributions are of similar slope to those measured over the Weddell Sea by Meszaros and in Tasmania by Bigg. We interpret this as evidence that the Southern Ocean and especially the Weddell Sea 作者: 橡子 時(shí)間: 2025-3-28 15:39 作者: Hippocampus 時(shí)間: 2025-3-28 20:12
978-3-030-40852-7Springer Nature Switzerland AG 2020作者: 偽書 時(shí)間: 2025-3-29 00:46 作者: Palpate 時(shí)間: 2025-3-29 06:17 作者: 打擊 時(shí)間: 2025-3-29 10:30 作者: 單獨(dú) 時(shí)間: 2025-3-29 14:19
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