Titlebook: Machine Learning in Healthcare Informatics; Sumeet Dua,U. Rajendra Acharya,Prerna Dua Book 2014 Springer-Verlag Berlin Heidelberg 2014 Alg

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Clinical Utility of Machine Learning and Longitudinal EHR Data,s, creates opportunities for the rapid acquisition and translation of knowledge for use in clinical practice. One area of great potential is in risk prediction of chronic progressive diseases from longitudinal medical records. In this Chapter, we illustrate this potential using a case study involvin

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Rule-based Computer Aided Decision Making for Traumatic Brain Injuries,aking systems for traumatic injuries. The objective here is to compare some existing machine learning methods using an aggregated database of traumatic injuries. These methods are used towards the development of rule-based computer-assisted decision-making systems that provide recommendations to phy

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Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient, logic rules, is introduced to regulate glucose levels for diabetic patients. Following the fuzzy logic controller, simulation is presented. The results show that the fuzzy logic control is effective for handling the glucose level based on feedback scheme.

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Machine Learning Techniques for AD/MCI Diagnosis and Prognosis,ural T1-weighted imaging, diffusion-tensor imaging (DTI) and resting-state functional magnetic resonance imaging (fMRI), for effective diagnosis and prognosis. We will further demonstrate how these modalities can be fused for further performance improvement.

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