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Cardiotocogram Biomedical Signal Classification and Interpretation for Fetal Health Evaluation
Maternal and Neonatal health has been greatly constrained by the in-access to essential maternal health care services due to the preventive measures implemented against the spread of covid-19 hence making maternal and fetal monitoring so hard for physicians.
A Machine Learning Approach for Predicting Therapeutic Adherence to Osteoporosis Treatment
In this paper, we developed and tested accuracy of Machine Learning Models for predicting therapeutic adherence of patients to enable health professionals to compatibly decide on the therapeutic treatments and approaches for osteoporosis treatment and pharmacologic management of their patients.
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