Nursing Healthcare UCGConferences

  Cancer has a low median survival rate and is an aggressive disease . Ironically, because of the high rates of recurrence and mortality, the treatment process is drawn out and expensive. To increase the patient's survival rate, accurate early diagnosis and prognosis prediction of cancer are crucial. Numerous scientists have applied computational techniques like multivariate statistical analysis to analyse the prognosis of the disease as a result of advancements in statistics and computer engineering over the years. The accuracy of such analyses is significantly higher than that of empirical predictions. Additionally, as applications for artificial intelligence (AI), particularly machine learning and deep learning, have become more widespread in clinical cancer research in recent years, the accuracy of cancer prediction has increased significantly. This article summarises the benefits of AI for cancer diagnosis and prognosis after reviewing the relevant literature. We look at ho

  Biomedical Signal Analysis with Machine Intelligence is an interdisciplinary field that combines the principles of biomedical signal processing and machine learning to extract meaningful information from various physiological signals generated by the human body. These signals can include data from sources like electrocardiography (ECG or EKG) , electromyography (EMG) , electroencephalography (EEG) , medical imaging (e.g., MRI, CT scans) , and more. The primary goal of biomedical signal analysis with machine intelligence is to assist healthcare professionals in diagnosing diseases, monitoring patient health, and making informed medical decisions. Secure your place for the CME/CPD accredited 14th International Healthcare, Hospital Management, Nursing, and Patient Safety Conference in Dubai, UAE, on July 25-27, 2024. This event will allow participants to share research and gain valuable feedback. Follow the link for more info and to register: https://nursing-healthcare.universec

  How does machine learning work? A subfield of artificial intelligence (AI) and computer science called machine learning focuses on using data and algorithms to simulate how humans learn, gradually increasing the accuracy of the system. IBM has a long history with artificial intelligence . With his research on the game of checkers, one of its own, Arthur Samuel, is credited with coining the term "machine learning" (link outside of ibm.com). In 1962, Robert Nealey, a self-described checkers master, competed against an IBM 7094 computer, but he was defeated. This achievement seems insignificant in light of what is now possible, but it is regarded as a significant turning point for artificial intelligence . Machine learning-based products like Netflix's recommendation engine and self-driving cars have been made possible in recent years because to technical advancements in storage and processing capability. A casual format for presenting research findings or showca