Search Results - Shehu Mohammed
Nigerian National Assembly delegation from Kebbi
The Nigerian National Assembly delegation from Kebbi State comprises three Senators and eight Representatives. Provided by Wikipedia- Showing 1 - 4 results of 4
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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions by Shehu Mohammed, Neha Malhotra
Published 2025-03-01Machine learning significantly enhances clinical decision-making quality, directly impacting patient care with early diagnosis, personalized treatment, and predictive analytics. Nonetheless, the increasing proliferation of such ML applications in practice raises potential ethical and regulatory obs...
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Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra
Published 2025-01-01Alzheimer’s Disease (AD) is a significant global health issue, and the current diagnostic techniques cannot diagnose the disease at its early stages, hence the difficulty of early therapeutic management. In response to the formulated research problem, this study articulates a new multimodal machine-...
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Determinants of Clients’ Satisfaction in a Military Healthcare Institution: A Case Study of Nigerian Navy Reference Hospital Ojo by Ahmadu Shehu Mohammed, Titus Gboyega Akinde, Idaraobong Peter Udobang, Odekunle Bola Odegbemi
Published 2025-01-01Introduction: Patient satisfaction is a critical indicator of healthcare quality and a predictor of service utilization. This study examines the determinants of patient satisfaction in military healthcare institutions, specifically focusing on the Nigerian Navy Reference Hospital Ojo. Aims: The aims...
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Novel hybrid intelligence model for early Alzheimer's diagnosis utilizing multimodal biomarker fusion by Shehu Mohammed, Neha Malhotra, Arun Singh, Awad M. Awadelkarim, Shakeel Ahmed, Saiprasad Potharaju
Published 2025-01-01One of the significant causes of dementia and a leading peril to global public health is Alzheimer's disease (AD), which calls for early and accurate diagnosis. The paper proposes a novel hybrid machine learning framework that integrates Gradient Boosting Machine (GBM) and Deep Neural Networks...
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