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The Application of Machine Learning in Predicting Outcome of Cryotherapy and Immunotherapy for Wart Removal

Singh Y

Background: Warts can be extremely painful conditions that may be associated with localised bleeding and discharge. They are commonly treated by cryotherapy or immunotherapy. However, each of these therapies have discomforting...
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Adaptive filtering method for EMG signal using bounded range artificial bee colony algorithm

Verma AR, Singh Y, Gupta B

In this paper, an adaptive artefact canceller is designed using the bounded range artificial bee colony (BR-ABC) optimization technique. The results of proposed method are compared with recursive least square...
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PACS Implementation Challenges in a Public Healthcare Institution: A South African Vendor Perspective

Abbas R, Singh Y

OBJECTIVES: Conventional radiological processes have been replaced by digital images and information technology systems within South Africa and other developing countries. Picture Archiving and Communication Systems (PACS) technology offers many...
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Machine Learning to Improve the Effectiveness of ANRS in Predicting HIV Drug Resistance

Singh Y

OBJECTIVES: Human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) is one of the major burdens of disease in developing countries, and the standard-of-care treatment includes prescribing antiretroviral drugs....
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Intestinal Parasitosis in Relation to Anti-Retroviral Therapy, CD4+ T-cell Count and Diarrhea in HIV Patients

Khalil S, Mirdha BR, Sinha S, Panda A, Singh Y, Joseph A, Deb M

Intestinal parasitic infections are one of the major causes of diarrhea in human immunodeficiency virus (HIV) seropositive individuals. Antiretroviral therapy has markedly reduced the incidence of many opportunistic infections, but...
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