Kaavya R. Raman

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The application of machine learning to epilepsy can be used both to develop clinically useful computer-aided diagnostic tools, and to reveal pathologically relevant insights into the disease. Such studies most frequently use neurologically normal patients as the control group to maximize the pathologic insight yielded from the model. This practice yields(More)
The definitive diagnosis of the type of epilepsy, if it exists, in medication-resistant seizure disorder is based on the efficient combination of clinical information, long-term video-electroencephalography (EEG) and neuroimaging. Diagnoses are reached by a consensus panel that combines these diverse modalities using clinical wisdom and experience. Here we(More)
HIV-related stigma remains a persistent global health concern among people living with HIV/AIDS (PLWA) in developing nations. The literature is lacking in studies about healthcare students' perceptions of PLWA. This study is the first effort to understand stigmatizing attitudes toward HIV-positive patients by healthcare students in Mwanza, Tanzania, not(More)
The present study is an attempt at a detailed diagnosis of the accumulated inefficiency in the Indian power sector, the consequent reform drives, and the political economy involved in these aspects. The discussion in the wider canvas of the national scenario is substantiated by focusing on the Kerala power sector, taken for illustrative purpose. It is shown(More)
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