Prognosis for diagnosis

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

Serum Free Light-chain Assay for the Diagnosis, Management, and Prognosis of Multiple Myeloma

In recent decades, new serum biomarkers have been developed for routine laboratory practice, such as assaying serum free light chains and more recently, assaying immunoglobulin heavy and light chain isotypes (Hevylite). In this work, we highlight the interest of new biomarkers (Hevylite Test) in the management of monoclonal gammopathies because of the technical advantages it confers and the se...

Amyloidosis: diagnosis and prognosis

Imaging, Diagnosis, Prognosis

Purpose: Serum–biomarker based screening for pancreatic cancer could greatly improve survival in appropriately targeted high-risk populations. Experimental Design: Eighty-three circulating proteins were analyzed in sera of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC, n1⁄4 333), benign pancreatic conditions (n1⁄4 144), and healthy control individuals (n 1⁄4 227). Samples from ...