Author Info
Name
Affiliation
Papers
MARYAM ZOLNOORI
Mathematic and informatics group, ACECR, Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran
17
Collaborators
Citations 
PageRank 
54
14
6.29
Referers 
Referees 
References 
56
162
68
Search Limit
100162
Title
Citations
PageRank
Year
Identifying Factors Affecting Drug Discontinuation in Patients with Depression - Text Analysis of Patient Drug Review Posts.00.342019
Challenges to a Data Driven Approach to Population Level Analysis of Hypersensitivity Events in Cancer Clinical Trials.00.342019
A Systematic Approach for Developing a Corpus of Patient Reported Adverse Drug Events: A Case Study for SSRI and SNRI Medications.00.342019
Utilizing Consumer Health Posts to Identify Underlying Factors Associated with Patients' Attitudes towards Antidepressants.00.342018
Probing Technology Innovation on Diseases via Patent Mining.00.342018
Evaluation of Classification Algorithms vs Knowledge-Based Methods for Differential Diagnosis of Asthma in Iranian Patients00.342018
Temporal Sequence Alignment In Electronic Health Records For Computable Patient Representation00.342018
Development of an Adverse Drug Reaction Corpus from Consumer Health Posts for Psychiatric Medications.00.342017
Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media.00.342016
Facebook and depression: How people with depression use Facebook to manage their depression.00.342015
The Extent to which U.S. Hospitals Promote Their Patient Engagement Activities and Outcomes: Preliminary Results of Quantitative Content Analysis Research.00.342014
Patient-Centered Decision Support for Pediatric Asthma Signs and Symptoms: Development of a Web-Based User Interface for Parents.00.342014
Evaluation of user interface of computer application developed for screening pediatric asthma00.342013
Application of intelligent systems in asthma disease: designing a fuzzy rule-based system for evaluating level of asthma exacerbation.40.502012
Fuzzy rule-based expert system for assessment severity of asthma.30.452012
Fuzzy rule-based expert system for evaluating level of asthma control.30.512012
Computer-aided intelligent system for diagnosing pediatric asthma.40.442012