37 skills found · Page 1 of 2
kexinhuang12345 / ClinicalBERTClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
andrewwlong / Mimic BowPredict hospital readmission with discharge summaries
nwams / ClinicalBERT Deep Learning Predicting Hospital Readmission Using TransformerBlog post on Medium
Okes2024 / Predicting Hospital Readmission RatesGoal: Develop ML models to identify high-risk patients for hospital readmission within 30 days of discharge. Approach: Analyze clinical data, demographics, and medical history using classification algorithms to predict readmission probability. Impact: Reduce healthcare costs and improve patient outcomes through targeted interventions.
andrewwlong / Diabetes ReadmissionPredicting hospital readmission for patients with diabetes
u-raza / Readmission PredictionHospital readmission prediction using machine learning methods
moggirain / Hospital Readmission Predictionhospital readmission prediction
Mouneshgouda / Impact Of Medication For Lifestyle Diseases On Hospital ReadmissionNo description available
AkankshaUtreja / Diabetic Patients Readmission PredictionDiabetes is a medical condition that is caused due to insufficient production and secretion of insulin from the pancreas in case of Type-1 diabetes and defective response of insulin Type-2 diabetes. Diabetes is one of the most prevalent medical conditions in people today Hospital readmission for diabetic patients is a major concern in the United States. Over $250 million dollars was spent on treatment of readmitted diabetic inpatients in 2011 alone. Diabetes is chronic and does not have any specific cure. Objective:- Hospital readmission rates for certain conditions are now considered an indicator of hospital quality, and also affect the cost of care adversely. Hospital readmissions of diabetic patients are expensive as hospitals face penalties if their readmission rate is higher than expected and reflects the inadequacies in health care system. For these reasons, it is important for the hospitals to improve focus on reducing readmission rates. Identify the key factors that influence readmission for diabetes and to predict the probability of patient readmission. Approach:- The dataset chosen is that available on the UCI website which contains the patient data for the past 10 years for 130 hospitals. The code has been written in Python using different libraries like scikit-learn, seaborn, matplotlib etc. Different machine learning techniques for classification and regression like Logistic regression, Random forest etc have been used to achieve the objective. Keywords: Machine Learning, Python, scikit-learn, EDA, Healthcare
mahesh-bora / HealWizA health care monitoring application where you can upload images and a prediction of the disease along with its prescription is provided so that readmission to hospital can be reduced.
AnthonyByansi / Clinical Risk StratificationA model that can predict a patient's risk of hospital readmission within 30 days of discharge for patients with congestive heart failure (CHF)
freesinger / Readmission PredictionAn advanced data mining model to predict hospital readmission in dataset of diabetes patients.
Sue-Hi / NLP MIMIC IIIPredicting Unplanned Hospital Readmission Using Natural Language Processing of MIMICIII Discharge Notes
ruyakubu / RAI Diabetes Hospital Readmission ClassificationCreating an Azure ML Responsible AI dashboard with a trained classification model for diabetes hospital readmission
Jack-Etheredge / Predicting Early Hospital ReadmissionsPredicting early hospital readmissions among diabetic patients. I used several supervised machine learning algorithms to predict early hospital readmissions based on a dataset available from UCI and performed a cost benefit analysis to optimize a threshold for recall and precision. I made a simple Flask prediction app as well.
adityasharma0723 / Hospital Readmission Prediction Hospital Readmission Prediction
Gurupatil0003 / Impact Of Medication For Lifestyle Diseases On Hospital ReadmissionNo description available
ruyakubu / Responsibleai Toolbox Diabetes Hospital ReadmissionUsing the RAI toolbox to debug a diabetes hospital readmission classification model
aws-samples / Amazon Sagemaker Data Wrangler Hospital Readmission PredictionThis is an example to demonstrate Amazon SageMaker Data Wrangler capabilities. The workshop showcases entire ML workflow steps for Diabetic Patient Readmission Dataset from UCI.
tikenjah / Hospital Readmission AnalysisNo description available
