Using Deep Convolutional Neural Networks To Detect And Classify Indicators Of Leukemia In Blood Samples
The successful detection of leukemia depends on the correct interpretation of the lineage and morphology of monocytes — a type of white blood cells. The monocytes have been classified into four primary stages of differentiation. However, the stages cannot be…
Study of A Visualization Tool Development in Health Informatics
The volume and complexity of data continue to increase in the world around us, including science, business, medicine and everyday human activity. Handling these diverse data to simple and intuitive representation, using simple design and intuitive interaction for non-informatics or non-statistics…
Promoting Healthy Coping in seniors 72 years or older with Type 2 Diabetes: A feasibility study of a mobile diabetes self-management and support application on functionality, readability, and usability
One out of four Americans older than 65 years old has diabetes. Type 2 diabetes accounts for about 90% to 95% of all diagnosed cases of diabetes. Mobile health technology provides possible solutions for seniors with type 2 diabetes to…
Using Social Network Analysis to Describe Communication Practices in Healthcare
The Electronic Medical Record (EMR) serves different purposes including documentation of care and billing. The EMR is used to document care delivery, monitor ongoing clinical conditions, and it is also the repository of the patients’ healthcare story. Many people, including…
Challenges for the analysis of healthcare reports using natural language processing
Healthcare professionals generate, transmit, and store healthcare records as free-text documents these are the traditional“physician’s reports” or “physician’s notes”. These reports contain complex biomedical data, demographic information, location data, etc. However, free text data are a poor starting point for…
Applying Blockchain Technology for Health Information Exchange and Persistent Monitoring for Clinical Trials
“Blockchain” is a distributed ledger technology originally applied in the financial sector. This technology ensures the integrity of transactions without third-party validation. Its functions of decentralized transaction validation, data provenance, data sharing, and data integration are a good fit for…
Development and Application of a high throughput multiomics pipeline to uncover molecular signatures in drought stressed Maize Nodal Roots
One of the major focus areas in agricultural research is reducing the major limiting factor of drought for agricultural production worldwide. In the maize plant, water uptake is mainly acquired by the nodal root system after the seedling stage. These…
Using Deep learning method (CNN/RNN) for prediction of ubiquitination protein
Ubiquitination, as a post-translational modification, is a crucial biological process presented in cell signaling, death and localization. Identification of ubiquitination protein is of fundamental importance for understanding molecular mechanisms in biological systems and diseases. Although high-throughput experimental studies using mass…
Discovering novel risk factors for age-related eye diseases using subgroup data mining
In the United States, the Medicare cost for the treatment of cataract is continually increasing due to an increased number of cataract surgery done in each year, for example, more than 3 million cataract surgeries were performed in 2017. A…