Efficient Analysis of COVID-19 Clinical Data using Machine Learning
Models

Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models

18 October 2021

Sarwan Ali

Papers citing "Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models"

9 / 9 papers shown

Title
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 13 56 0 10 Apr 2023
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences Sarwan Ali Usama Sardar Murray Patterson Imdadullah Khan 13 1 0 01 Apr 2023
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model Sarwan Ali 6 5 0 19 Nov 2022
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data Prakash Chourasia Sarwan Ali Simone Ciccolella G. D. Vedova Murray Patterson 19 9 0 15 Nov 2022
Efficient Approximate Kernel Based Spike Sequence Classification Sarwan Ali Bikram Sahoo Muhammad Asad Khan A. Zelikovsky Imdadullah Khan Murray Patterson AI4TS 26 22 0 11 Sep 2022
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences Sarwan Ali B. Bello Prakash Chourasia Ria Thazhe Punathil Yijing Zhou M. Patterson 19 42 0 06 Jan 2022
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences Sarwan Ali M. Patterson 16 46 0 12 Sep 2021
A k-mer Based Approach for SARS-CoV-2 Variant Identification Sarwan Ali Bikram Sahoo N. Ullah Alexander Zelikovskiy M. Patterson Imdadullah Khan 54 39 0 07 Aug 2021
TeliNet: Classifying CT scan images for COVID-19 diagnosis Mohammad Nayeem Teli 16 6 0 10 Jul 2021