Search Results for author: Homayoun Valafar

Found 18 papers, 1 papers with code

Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy

no code implementations13 Sep 2021 Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar

We have demonstrated that using machine learning approaches can identify HF patients with a high probability of a positive CRT response (95% accuracy), and of equal importance, identify those HF patients that would not derive a functional benefit from CRT.

Decision Making

MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data

no code implementations19 May 2021 Chrisogonas Odhiambo, Pamela Wright, Cindy Corbett, Homayoun Valafar

Poor medication adherence presents serious economic and health problems including compromised treatment effectiveness, medical complications, and loss of billions of dollars in wasted medicine or procedures.

Reduction in the complexity of 1D 1H-NMR spectra by the use of Frequency to Information Transformation

no code implementations16 Dec 2020 Homayoun Valafar, Faramarz Valafar

Analysis of 1H-NMR spectra is often hindered by large variations that occur during the collection of these spectra.

TALI: Protein Structure Alignment Using Backbone Torsion Angles

no code implementations12 Dec 2020 Xijiang Miao, Michael G. Bryson, Homayoun Valafar

This article introduces a novel protein structure alignment method (named TALI) based on the protein backbone torsion angle instead of the more traditional distance matrix.

An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks

no code implementations2 Aug 2020 Aaron Hein, Casey Cole, Homayoun Valafar

Our investigations concluded that one-hot encoding, the use of LSTMs, and window sizes of 9, 11, and 15 produce the optimal outcome.

Protein Structure Prediction

Parallel, Self Organizing, Consensus Neural Networks

no code implementations30 Jul 2020 Homayoun Valafar, Faramarz Valafar, Okan Ersoy

The architecture has all the advantages of the previous models such as self-organization and possesses some other superior characteristics such as input parallelism and decision making based on consensus.

Decision Making

A Preliminary Investigation in the Molecular Basis of Host Shutoff Mechanism in SARS-CoV

no code implementations23 Jul 2020 Niharika Pandala, Casey A. Cole, Devaun McFarland, Anita Nag, Homayoun Valafar

Recent events leading to the worldwide pandemic of COVID-19 have demonstrated the effective use of genomic sequencing technologies to establish the genetic sequence of this virus.

Recognition of Smoking Gesture Using Smart Watch Technology

1 code implementation5 Mar 2020 Casey A. Cole, Bethany Janos, Dien Anshari, James F. Thrasher, Scott Strayer, Homayoun Valafar

Diseases resulting from prolonged smoking are the most common preventable causes of death in the world today.

De Novo Assembly of Uca minax Transcriptome from Next Generation Sequencing

no code implementations9 Jan 2020 Hanin Omar, Casey A. Cole, Arjang Fahim, Giuliana Gusmaroli, Stephen Borgianini, Homayoun Valafar

High-throughput cDNA sequencing (RNA-seq) is a very powerful technique to quantify gene expression in an unbiased way.

State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks

no code implementations7 Jan 2020 Chrisogonas O. Odhiambo, Casey A. Cole, Alaleh Torkjazi, Homayoun Valafar

The use of sensors has pervaded everyday life in several applications including human activity monitoring, healthcare, and social networks.

An AI model for Rapid and Accurate Identification of Chemical Agents in Mass Casualty Incidents

no code implementations12 Dec 2019 Nicholas Boltin, Daniel Vu, Bethany Janos, Alyssa Shofner, Joan Culley, Homayoun Valafar

In this report we examine the effectiveness of WISER in identification of a chemical culprit during a chemical based Mass Casualty Incident (MCI).

Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques

no code implementations12 Dec 2019 Liang Zhao, Brendan Odigwe, Susan Lessner, Daniel G. Clair, Firas Mussa, Homayoun Valafar

We report an object tracking algorithm that combines geometrical constraints, thresholding, and motion detection for tracking of the descending aorta and the network of major arteries that branch from the aorta including the iliac and femoral arteries.

Motion Detection Object Tracking

Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks

no code implementations25 Nov 2019 Brendan E. Odigwe, Jesuloluwa S. Eyitayo, Celestine I. Odigwe, Homayoun Valafar

While Hydroxyurea reduces the complications associated with Sickle Cell Anemia in some patients, others do not benefit from this drug and experience deleterious effects since it is also a chemotherapeutic agent.

Improvements of the REDCRAFT Software Package

no code implementations19 Nov 2019 Casey A Cole, Caleb Parks, Julian Rachele, Homayoun Valafar

Traditional approaches to elucidation of protein structures by NMR spectroscopy rely on distance restraints also known as nuclear Overhauser effects (NOEs).

Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology

no code implementations6 Nov 2019 Ryan Yandle, Rishi Mukhopadhyay, Homayoun Valafar

The method of Probability Density Profile Analysis has been introduced previously as a tool to find the best match between a set of experimentally generated Residual Dipolar Couplings and a set of known protein structures.

Protein Folding

Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data

no code implementations1 Nov 2019 Rishi Mukhopadhyay, Paul Shealy, Homayoun Valafar

Despite many advances in computational modeling of protein structures, these methods have not been widely utilized by experimental structural biologists.

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