Abbas Shojaee
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View article: The Risk and Time Course for Autoimmune Rheumatic Disease Development in Patients With Raynaud Phenomenon
The Risk and Time Course for Autoimmune Rheumatic Disease Development in Patients With Raynaud Phenomenon Open
View article: DataToCare: Predicting Treatments for Intensive Care Unit Patients Based on Similarity of Abnormalities
DataToCare: Predicting Treatments for Intensive Care Unit Patients Based on Similarity of Abnormalities Open
Clinical decision-making lies at the heart of health care. Medical data collection has made it possible for clinical decision-making to be data-driven. However, data-driven systems for decision-making have so far worked only for a limited …
View article: Investigating the Time-Varying and Conditional Causality Network Among Bitcoin, Oil, Gold and Economic Uncertainty
Investigating the Time-Varying and Conditional Causality Network Among Bitcoin, Oil, Gold and Economic Uncertainty Open
View article: Data archive: CICT for single cell RNA-seq network inference
Data archive: CICT for single cell RNA-seq network inference Open
<p>This archive contains benchmarking input data and results for using single cell gene expression data to infer gene regulatory networks (GRN) by the Causal Inference with Composition of Transactions (CICT) method and a selected set…
View article: Data archive: CICT for single cell RNA-seq network inference
Data archive: CICT for single cell RNA-seq network inference Open
This archive contains benchmarking input data and results for using single cell gene expression data to infer gene regulatory networks (GRN) by the Causal Inference with Composition of Transactions (CICT) method and a selected set of publi…
View article: Robust discovery of gene regulatory networks from single-cell gene expression data by Causal Inference Using Composition of Transactions
Robust discovery of gene regulatory networks from single-cell gene expression data by Causal Inference Using Composition of Transactions Open
Gene regulatory networks (GRNs) drive organism structure and functions, so the discovery and characterization of GRNs is a major goal in biological research. However, accurate identification of causal regulatory connections and inference o…
View article: Data archive: CICT for single cell RNA-seq network inference
Data archive: CICT for single cell RNA-seq network inference Open
This archive contains benchmarking input data and results for using single cell gene expression data to infer gene regulatory networks (GRN) by the Causal Inference with Composition of Transactions (CICT) method and a selected set of publi…
View article: Mapping emergency department asthma visits to identify poor-quality housing in New Haven, CT, USA: a retrospective cohort study
Mapping emergency department asthma visits to identify poor-quality housing in New Haven, CT, USA: a retrospective cohort study Open
Harvard-National Institute of Environmental Health Sciences (NIEHS) Center for Environmental Health.
View article: Potentials of single-cell genomics in deciphering cellular phenotypes
Potentials of single-cell genomics in deciphering cellular phenotypes Open
View article: Viral Pneumonia is Associated with Increased Risk and Earlier Development of Post-Inflammatory Pulmonary Fibrosis
Viral Pneumonia is Associated with Increased Risk and Earlier Development of Post-Inflammatory Pulmonary Fibrosis Open
Severe inflammatory response, acute respiratory distress syndrome, and death are established serious consequences of the acute phase of severe viral pneumonia. However, the long-term respiratory outcomes of severe viral pneumonia, includin…
View article: Using artificial intelligence techniques for COVID-19 genome analysis
Using artificial intelligence techniques for COVID-19 genome analysis Open
View article: Echocardiographic Features of Cardiac Injury Related to COVID-19 and Their Prognostic Value: A Systematic Review
Echocardiographic Features of Cardiac Injury Related to COVID-19 and Their Prognostic Value: A Systematic Review Open
Background: The available information on the echocardiographic features of cardiac injury related to the novel coronavirus disease 2019 (COVID-19) and their prognostic value are scattered in the different literature. Therefore, the aim of …
View article: Obstructive Sleep Apnea Increases the Risk of Pulmonary Hypertension Independent of Relevant Risk Factors
Obstructive Sleep Apnea Increases the Risk of Pulmonary Hypertension Independent of Relevant Risk Factors Open
View article: Application of a Novel Machine Learning Method to Big Data Infers a Relationship Between Asthma and the Development of Neoplasia
Application of a Novel Machine Learning Method to Big Data Infers a Relationship Between Asthma and the Development of Neoplasia Open
Background A relationship between asthma and the risk of having cancer has been identified in several studies. However, these studies have used different methodologies, been primarily cross-sectional in nature, and the results have been co…
View article: Discovery of temporal and disease association patterns in condition-specific hospital utilization rates
Discovery of temporal and disease association patterns in condition-specific hospital utilization rates Open
Identifying temporal variation in hospitalization rates may provide insights about disease patterns and thereby inform research, policy, and clinical care. However, the majority of medical conditions have not been studied for their potenti…
View article: OUTCOME OF PROSTHETIC THIGH VASCULAR ACCESS GRAFT IN HEMODIALYSIS PATIENTS: A PROSPECTIVE SIX YEAR STUDY
OUTCOME OF PROSTHETIC THIGH VASCULAR ACCESS GRAFT IN HEMODIALYSIS PATIENTS: A PROSPECTIVE SIX YEAR STUDY Open
Arteriovenous fistulae traditionally have been placed in the upper extremity. Experience with groin hemodialysis access has been discouraging because of high infection rates and associated limb amputation. The aim of this study was to dete…
View article: Revisiting Causality in Markov Chains
Revisiting Causality in Markov Chains Open
Identifying causal relationships is a key premise of scientific research. The
growth of observational data in different disciplines along with the
availability of machine learning methods offers the possibility of using an
empirical approa…
View article: Revisiting Causality Inference in Memory-less Transition Networks
Revisiting Causality Inference in Memory-less Transition Networks Open
Several methods exist to infer causal networks from massive volumes of observational data. However, almost all existing methods require a considerable length of time series data to capture cause and effect relationships. In contrast, memor…
View article: Revisiting Causality Inference In Markov Chain.
Revisiting Causality Inference In Markov Chain. Open
Identifying causal relationships is a key premise of scientific research. Given the mass of observational data in many disciplines, new machine learning methods offer the possibility of using an empirical approach to identifying unapprecia…
View article: Association Between Journal Citation Distribution and Impact Factor
Association Between Journal Citation Distribution and Impact Factor Open
View article: Poorly Cited Articles in Peer-Reviewed Cardiovascular Journals from 1997 to 2007
Poorly Cited Articles in Peer-Reviewed Cardiovascular Journals from 1997 to 2007 Open
Background— The extent to which articles are cited is a surrogate of the impact and importance of the research conducted; poorly cited articles may identify research of limited use and potential wasted investments. We assessed trends in th…