| 000 | 02992nam a22003375i 4500 | ||
|---|---|---|---|
| 999 |
_c402758 _d402758 |
||
| 001 | 402758 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240622200944.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 231026s2023 sz | fo |||| 0|eng d | ||
| 020 | _a9783031419256 | ||
| 024 | 7 |
_a10.1007/978-3-031-41925-6 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aR859.7 .A78 _b2023 EB |
|
| 245 | 0 | 0 |
_aArtificial Intelligence-based Healthcare Systems _cedited by Manju, Sandeep Kumar, Sardar M. N. Islam |
| 250 | _a1st ed. 2023 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 0 |
_aThe Springer Series in Applied Machine Learning _x2520-1301 |
|
| 505 | 0 | _aSchedule and Routing In Home Healthcare System Using Clustering Analysis and Multi-Objective Optimization -- Obesity level prediction using Multinomial Logistic Regression -- Importance of Feature Selection methods in Machine Learning-based Obesity Prediction -- A Clinical Decision Support System Using Machine Learning To Forecast The Risk Of Chronic Pulmonary Disease And Anthracosis -- Smart Healthcare: A Breakthrough in the growth of technologies -- A Multidisciplinary Explanation of Healthcare AI Uses, Trends and Possibilities -- Optimum Utilization Of Bed Resources In Hospitals-A Stochastic Approach -- Early-Detection of Diabetic Retinopathy using Deep Learning -- Performance Analysis of Memory-Efficient Vision Transformers in Brain Tumor Segmentation -- Unlocking New Possibilities in Drug Discovery: A GAN-based Approach -- A Systematic Review on ECG and EMG Biomedical Signal using Deep Learning Approaches -- Smart AI bot for healthcare Assistance -- AI-Driven Hospital Readmission Predictor for Diabetic Patients -- Gleason Grading System for Prostate Cancer diagnosis. | |
| 520 | _aThis book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions. | ||
| 988 | _aSpringer_Medicine_2023 | ||
| 650 | 7 |
_2embne _9413115 _aInteligencia artificial _xAplicaciones médicas |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-41925-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b06/2024 _dz _ean _zSI |
||