敌意
发表于 2025-3-23 11:16:33
K. P. Bindu Madavi,K. Krishna Sowjanyanships; (iii) task-based coordination; and (iv) information technology support, which together identified the needs of collaborative disaster response coordination. Using evidence from the data, these factors were related to one another to develop a framework for context-aware multi-party coordinati
离开就切除
发表于 2025-3-23 14:01:12
Aarti Sangwannships; (iii) task-based coordination; and (iv) information technology support, which together identified the needs of collaborative disaster response coordination. Using evidence from the data, these factors were related to one another to develop a framework for context-aware multi-party coordinati
使增至最大
发表于 2025-3-23 20:41:55
3004-958X rs overseeing this volume’s creation we take pride in presenting an assemblage of contributions that mirror the research findings, innovations and optimal practices in healthcare technology...Our aim is to enco978-3-031-65024-6978-3-031-65022-2Series ISSN 3004-958X Series E-ISSN 3004-9598
彩色的蜡笔
发表于 2025-3-23 23:09:23
Patient Health Services for Early Detection Therapy of Diabetes Mellitus with Expert System and IOTds accompanied by healing therapy and treatment methods. This system was created so that sufferers can understand and understand the types of diabetes mellitus along with healing therapies and how to treat them. This system provides several disease prevention solutions according to the type of disea
POINT
发表于 2025-3-24 02:51:27
Integrating IoT and AI in Healthcare: A Novel MS-GNN Framework for Disease Diagnosis,“accuracy, sensitivity, specificity, and AUC (Area under the Curve)” for heart disease, diabetes, and thyroid datasets. Based on experimental results, the proposed approach attained 95.87, 95.36, and 90.45% accuracy on three different datasets. The results highlight the potential of AI and IoT in sm
aviator
发表于 2025-3-24 07:18:30
Advancing Glioblastoma Treatment Through AI-Driven Radiomics: A Comparative Study of Feature Selecteighbour, Quadratic Discriminant Analysis, and Multi-layer Perceptron, among others. The main objective is to identify the most powerful combinations that improve the capacity to forecast accurately and reliably, therefore making a significant contribution to the advancement of personalised medical
cringe
发表于 2025-3-24 10:59:50
Artificial Intelligence in Personalized Health Services for Better Patient Care,els. By taking into consideration the fact that each patient responds differently to treatments, this not only increases the efficacy of medical interventions but also reduces their negative consequences. The chapter also covers how artificial intelligence can expedite diagnostic procedures. Artific
消瘦
发表于 2025-3-24 18:21:51
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CLASP
发表于 2025-3-24 21:25:49
Machine Learning-Based Autism Spectrum Disorder Prediction: A Comparative Approach,s the efficacy of ML techniques in prediction of Autism Spectrum Disorder (ASD). Notably, the study finds that Random Forest and Extra Tree models exhibit high precision in test outcomes. This underscores the promising potential of ML methodologies in accurately predicting ASD. The research methodol
medium
发表于 2025-3-25 01:09:45
Preventive Health Care System for Early Heart Disease Detection Using IoT and Machine Learning,icient in analyzing large volumes of data. A Preventive health care framework is proposed in this paper to predict early heart disease by procuring data such as Heart Rate (HT), Systolic Blood pressure (SBP), and Diastolic blood pressure (DBP) from wearable IoT Devices. The same data is analyzed usi