Machine Learning for Disease Detection, Prediction, and Diagnosis
portes grátis
Machine Learning for Disease Detection, Prediction, and Diagnosis
Challenges and Opportunities
Choudhury, Tanupriya; Katal, Avita
Springer Nature Switzerland AG
03/2025
220
Dura
9789819642403
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
.- Chapter 1 Introduction to machine learning and Image Processing for disease detection.
.- Chapter 2 Comparative Study of Various Deep Learning Methods for Prediction of Disease.
.- Chapter 3 Introduction to deep learning for disease prediction.
.- Chapter 4 A survey of image classification techniques for the prediction of diseases.
.- Chapter 5 Prediction of disease related to heart by using different techniques: A survey.
.- Chapter 6 Automated Plant Disease Diagnosis with Machine Learning.
.- Chapter 7 Exploring Disease Prediction Techniques through Data Mining: A Comprehensive Overview.
.- Chapter 8 Detection of Parkinson's disease using different machine learning techniques: A comparative analysis.
.- Chapter 9 Kidney Disease Prediction by Machine Learning Techniques.
.- Chapter 11 Prediction of Diabetes by using the different machine learning algorithms.
.- Chapter 12 Investigation of Machine Learning Algorithms in detecting Chronic Kidney Disorder.
.- Chapter 13 Skin Disease Prediction using machine learning techniques.
.- Chapter 14 A Comparative Study of Different Machine Learning Techniques for Skin Disease Detection.
.- Chapter 15 Leveraging MLP-Mixer for Improved Melanoma Diagnosis Using Skin Lesion Images.
.- Chapter 16 Application of AI to detect Brain Tumors.
.- Chapter 17 Revolutionizing Brain Tumor Detection: Unleashing the Power of Artificial Intelligence.
.- Chapter 18 Disease detection and diagnosis using artificial intelligence techniques for sustainable economic growth.
.- Chapter 19 Developing a COVID-19 Prediction Kit Using Machine Learning.
.- Chapter 20 Plant Disease Detection: Comprehensive Review of Methods and Techniques.
.- Chapter 2 Comparative Study of Various Deep Learning Methods for Prediction of Disease.
.- Chapter 3 Introduction to deep learning for disease prediction.
.- Chapter 4 A survey of image classification techniques for the prediction of diseases.
.- Chapter 5 Prediction of disease related to heart by using different techniques: A survey.
.- Chapter 6 Automated Plant Disease Diagnosis with Machine Learning.
.- Chapter 7 Exploring Disease Prediction Techniques through Data Mining: A Comprehensive Overview.
.- Chapter 8 Detection of Parkinson's disease using different machine learning techniques: A comparative analysis.
.- Chapter 9 Kidney Disease Prediction by Machine Learning Techniques.
.- Chapter 11 Prediction of Diabetes by using the different machine learning algorithms.
.- Chapter 12 Investigation of Machine Learning Algorithms in detecting Chronic Kidney Disorder.
.- Chapter 13 Skin Disease Prediction using machine learning techniques.
.- Chapter 14 A Comparative Study of Different Machine Learning Techniques for Skin Disease Detection.
.- Chapter 15 Leveraging MLP-Mixer for Improved Melanoma Diagnosis Using Skin Lesion Images.
.- Chapter 16 Application of AI to detect Brain Tumors.
.- Chapter 17 Revolutionizing Brain Tumor Detection: Unleashing the Power of Artificial Intelligence.
.- Chapter 18 Disease detection and diagnosis using artificial intelligence techniques for sustainable economic growth.
.- Chapter 19 Developing a COVID-19 Prediction Kit Using Machine Learning.
.- Chapter 20 Plant Disease Detection: Comprehensive Review of Methods and Techniques.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Disease detection;Machine learning;Artificial intelligence;Fuzzy techniques;Neural Networks
.- Chapter 1 Introduction to machine learning and Image Processing for disease detection.
.- Chapter 2 Comparative Study of Various Deep Learning Methods for Prediction of Disease.
.- Chapter 3 Introduction to deep learning for disease prediction.
.- Chapter 4 A survey of image classification techniques for the prediction of diseases.
.- Chapter 5 Prediction of disease related to heart by using different techniques: A survey.
.- Chapter 6 Automated Plant Disease Diagnosis with Machine Learning.
.- Chapter 7 Exploring Disease Prediction Techniques through Data Mining: A Comprehensive Overview.
.- Chapter 8 Detection of Parkinson's disease using different machine learning techniques: A comparative analysis.
.- Chapter 9 Kidney Disease Prediction by Machine Learning Techniques.
.- Chapter 11 Prediction of Diabetes by using the different machine learning algorithms.
.- Chapter 12 Investigation of Machine Learning Algorithms in detecting Chronic Kidney Disorder.
.- Chapter 13 Skin Disease Prediction using machine learning techniques.
.- Chapter 14 A Comparative Study of Different Machine Learning Techniques for Skin Disease Detection.
.- Chapter 15 Leveraging MLP-Mixer for Improved Melanoma Diagnosis Using Skin Lesion Images.
.- Chapter 16 Application of AI to detect Brain Tumors.
.- Chapter 17 Revolutionizing Brain Tumor Detection: Unleashing the Power of Artificial Intelligence.
.- Chapter 18 Disease detection and diagnosis using artificial intelligence techniques for sustainable economic growth.
.- Chapter 19 Developing a COVID-19 Prediction Kit Using Machine Learning.
.- Chapter 20 Plant Disease Detection: Comprehensive Review of Methods and Techniques.
.- Chapter 2 Comparative Study of Various Deep Learning Methods for Prediction of Disease.
.- Chapter 3 Introduction to deep learning for disease prediction.
.- Chapter 4 A survey of image classification techniques for the prediction of diseases.
.- Chapter 5 Prediction of disease related to heart by using different techniques: A survey.
.- Chapter 6 Automated Plant Disease Diagnosis with Machine Learning.
.- Chapter 7 Exploring Disease Prediction Techniques through Data Mining: A Comprehensive Overview.
.- Chapter 8 Detection of Parkinson's disease using different machine learning techniques: A comparative analysis.
.- Chapter 9 Kidney Disease Prediction by Machine Learning Techniques.
.- Chapter 11 Prediction of Diabetes by using the different machine learning algorithms.
.- Chapter 12 Investigation of Machine Learning Algorithms in detecting Chronic Kidney Disorder.
.- Chapter 13 Skin Disease Prediction using machine learning techniques.
.- Chapter 14 A Comparative Study of Different Machine Learning Techniques for Skin Disease Detection.
.- Chapter 15 Leveraging MLP-Mixer for Improved Melanoma Diagnosis Using Skin Lesion Images.
.- Chapter 16 Application of AI to detect Brain Tumors.
.- Chapter 17 Revolutionizing Brain Tumor Detection: Unleashing the Power of Artificial Intelligence.
.- Chapter 18 Disease detection and diagnosis using artificial intelligence techniques for sustainable economic growth.
.- Chapter 19 Developing a COVID-19 Prediction Kit Using Machine Learning.
.- Chapter 20 Plant Disease Detection: Comprehensive Review of Methods and Techniques.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
