Machine Learning and Its Applications to Healthcare

Machine Learning and Its Applications to Healthcare portes grátis

Machine Learning and Its Applications to Healthcare

Pant, Millie; Deep, Kusum; Nagar, Atulya K.

Springer Verlag, Singapore

04/2026

476

Dura

Inglês

9789819548309

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Assessing Students Emotions in Learning Environment Integrating Deep Learning with Statistical Learning.- MediAI A Specialized Medical LLM for Accurate Diagnosis and Clinical Documentation.- Predicting Maternal Health Risks using Ensemble Model Multilayer Perceptron and PCA Features.- Performance Evaluation of Deep Learning Models using Transfer Learning on Ultrasound Images for Breast Cancer Detection.- Identification of Severity of Chronic Obstructive Pulmonary Disease COPD using Machine Learning Models based on Spirometry Data.- Real time Healthcare Environment Monitoring Through Deep Learning A Multi Modal Sensor Fusion Implementation.- EMG Signal Classification in Lower Limbs using Machine Learning Techniques.- Real time Virtual Meeting Architecture for Deaf People Audio Transcription Noise Processing and Sign Language Translation using LSTM Neural Networks.- Predictive Modeling of Sepsis Risk Leveraging Clinical Parameters for Early Detection and Intervention.- A Targeted Study of Lightweight Machine Learning Techniques for Cardiac Arrhythmia Risk Prediction.- Development of Smart ECG Monitoring System using IoT and ML.- AI Driven Pneumonia Diagnosis Harnessing Custom CNNs for Chest X ray Analysis.- A Serverless Cloud Approach to a Scalable Geospatial Healthcare Web based Application.- Ensemble Learning Inspired Model for Medical Image Segmentation.- A Non local Weighted Optical Flow based CNN Model for Smoke Detection using Static and Dynamic Features.- Behavioral Analysis Techniques for Early Detection of Ransomware.- Machine Learning based Diabetic Prediction on Indigenous Shakti Processor for Edge Health Monitoring.- Skin Lesion Segmentation using UNet based Architectures.- Bridging Molecular Features and Solubility Towards Drug Design A Machine Learning Framework for Solubility Prediction Ensemble Model Based Fall Detection on Elderly Adult using CNN BILSTM.- AI based Automated ICD Coding for Clinical Texts and Records A Systematic Literature Review.- A Hybrid CNN LSTM Model for Sudden Cardiac Death Prediction.- Hybrid Deep Learning Model for Fall Detection in Healthy Elderly using CNN BiLSTM CNBiLS.- Fake News Detection using Machine Learning and Sentiment Analysis Integrated in a Flask Web Application.- Early stage Detection for Alzheimer Disease using Machine Learning and Deep Learning Algorithm.- Advanced Machine Learning Framework for Early Detection of Cardiac Disease using Statistical Analysis and Feature Engineering.- Optimum Hyperbolic Tangent Function for MRI Enhancement.- Towards a More Competent Healthcare System A Methodological Approach for Quantizing Reliable Detection of Concealed Depression using Ensemble Learning.- Diabetes Risk Progression and Personalized Recommendations using Machine Learning.- Alzheimers Disease Prediction using Convolutional Neural Network.- Hybrid Generative AI Framework for Medical Text Summarization Enhancing Precision and Relevance in Healthcare Decision Making.- Multi Modal Hybrid Model for Depression Detection on Social Media and Clinical Datasets.- Design of an Improved Method for PET Scan Analysis using ConvTransformers and SHAP Guided Ensembles for Oral Cancer Diagnosis.- Transforming Healthcare with AI A Comprehensive Review of Innovations in Tropical Disease Management and Cancer Therapy.- Brain Tumor Classification using a CNN Driven Deep Learning Framework Leveraging MRI Imaging.- Edge Detection in Medical imaging via Clustering A Quantum Computing Approach for Lung Carcinoma and Brain Tumor.- Alzheimer Disease Classification using Transfer Learning of Pre trained Model.- Human centric Medical Summarization with Hybrid Generative AI.- Predictive Analysis of Drug Impact using GNN.- Evaluation of Side Effects Associated with Covid 19 Vaccines india.
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soft computing;SDG (Good Health and Well-Being);deep learning;machine learning;accurate diagnostic;clinical documentation;ensemble model;smart clinical surgery;transfer learning ;breast cancer ;pulmonary disease ;spirometry data;audio transcription;noise processing ;sign language translation ;neural networks;sepsis risk;cardio care;cascade algorithm;pneumonia diagnosis