Medicine and Health Sciences Commons^™

Predicting The Need For Cardiovascular Surgery: A Comparative Study Of Machine Learning Models, Arman Ghavidel, Pilar Pazos, Rolando Del Aguila Suarez, Alireza Atashi

Engineering Management & Systems Engineering Faculty Publications

This research examines the efficacy of ensemble Machine Learning (ML) models, mainly focusing on Deep Neural Networks (DNNs), in predicting the need for cardiovascular surgery, a critical aspect of clinical decision-making. It addresses key challenges such as class imbalance, which is pivotal in healthcare settings. The research involved a comprehensive comparison and evaluation of the performance of previously published ML methods against a new Deep Learning (DL) model. This comparison utilized a dataset encompassing 50,000 patient records from a large hospital between 2015-2022. The study proposes enhancing the efficacy of these models through feature selection and hyperparameter optimization, employing techniques …

A Clinical Study Of Venereal And Non Venereal Genital Dermatoses In Women, Lakkireddygari Sujana, Savitha L. Beergouder, Alekhya Rallapalli, Prasanthi Chidipudi, Sujatha Alla

Engineering Management & Systems Engineering Faculty Publications

Background: Any genital lesion or related symptoms are erroneously considered to be sexually transmitted as it is the most covered regions of the body and seems truly to be a forgotten pelvic organ it is the significant and important group of dermatological conditions may be associated with considerable morbidity, discomfort, and embarrassment. The most common conditions seen in a Dermatology Clinic are vulvar dermatoses, which comprise of lichen sclerosis, lichen planus, vulvar eczema, and psoriasis. Other conditions such as vulvar pain syndromes, vulvar disorders associated with systemic diseases, and blistering diseases are also seen.

Materials and Methods: This was a …