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Name: Kingsley Ukwuoma

Type: User

Company: Redfox Analytica

Bio: Kingsley is a specialist in Health Analytics, Medical Statistics and ensuing Policy Research with 10 years + of experience.

Twitter: kingsleyukwuoma

Location: West Africa

Blog: https://redfox3891.wordpress.com/

Kingsley Ukwuoma's Projects

2017_lopezbernal_ije_codedata

Updated R and Stata and data code from Lopez Bernal IJE 2017

bayeslifehiv

bayesLife that takes into account HIV/AIDS

breast-cancer-detection-using-deep-learning

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

covid-19

Dashboard visualising week-on-week change in coronavirus cases by local authority

covid19-forecast-hub

Projections of COVID-19, in standardized format

covid19-severity-prediction

Extensive and accessible COVID-19 data + forecasting at the county-level + hospital-level.

dhs-indicators-stata

Stata code to produce Demographic and Health Survey Indicators

diabetes_prediction

This project aims to predict the type 2 diabetes, based on the dataset. It uses machine learning model,which is trained to predict the diabetes mellitus before it hits.

encrypted-skin-cancer-detection

Detecting skin cancer in encrypted images with TensorFlow

heart-disease-analysis-and-prediction

Heart Disease Analysis repository

heart_disease_analysis

Statistical analysis of heart disease data project completed during my enrollment in the Data Science program through Thinkful.

hiv-1_progression-prediction

A kaggle competition to predict the likelihood that an HIV patient's infection will become less severe, given a small dataset and limited clinical information.

This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc

nationwide_modeling_assignment

Cleaning and modeling data while investigating the performance capabilities of the Logistic Regression and Xtreme Gradient Boost classification algorithms.

prima-indian-diabetes-prediction

I used six classification techniques, artificial neural network (ANN), Support Vector Machine (SVM), Decision tree (DT), random forest (RF), Logistics Regression (LR) and Naïve Bayes (NB)

top-10-statistical-tools-used-in-medical-research

A concise and insightful piece on the 'top statistical tools used in medical research and clinical data analysis'. Here, the technical writer focuses on the application thereof; with respect to the field of medical research, systematic reviews, meta-analysis and clinical trials. The objective is to provide exactness in deciding on the appropriate tool for your research problems and unique data.

xray_diagnosis_tensorflow

Process chest x-ray image data, varified and labeled by medical professionals. Using TensorFlow and the Keras API, create and validate convolution neural networks that learn to recognize the presence of pneumonia in the lungs.

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