Predicting the Outcome of Tuberculosis Treatment Course in Frame of Dots - From Demographic Data to Logistic Regression Model. - Sharareh R. Niakan Kalhori; Xiao-Jun Zeng (HEALTHINF, 2009)

Persian mHealth Apps: A Cross Sectional Study Based on Use Case Classification. - Marjan Ghazi Saeedi; Sharareh Rostam Niakan Kalhori; Rasool Nouria; Mobin Yasini (MIE, 2016)

Web and Mobile Based HIV Prevention and Intervention Programs Pros and Cons - A Review. - Sharareh R. Niakan Kalhori; Esmaeil Mehraeen; Tayebeh Noori; Elahe Gozali (eHealth, 2017)

A clinical decision support system for prediction of pregnancy outcome in pregnant women with systemic lupus erythematosus. - Khadijeh Paydar; Sharareh R. Niakan Kalhori; Mahmoud Akbarian; Abbas Sheikhtaheri (Int. J. Medical Informatics, 2017)

Criteria for assessing the quality of mHealth apps: a systematic review. - Rasool Nouria; Sharareh R. Niakan Kalhori; Marjan Ghazi Saeedi; Guillaume Marchand; Mobin Yasini (J. Am. Medical Informatics Assoc., 2018)

Words prediction based on N-gram model for free-text entry in electronic health records. - Azita Yazdani; Reza Safdari; Ali Golkar; Sharareh R. Niakan Kalhori (Health Inf. Sci. Syst., 2019)

Optimized Patients' Length of Hospital Stay with Interventions Based on Health Information Technology: A Review Study. - Tayebeh Baniasadi; Mehdi Hassaniazad; Sharareh R. Niakan Kalhori; Mehraban Shahi; Marjan Ghazi Saeedi (dHealth, 2020)

Surgical Patients Follow-Up by Smartphone-Based Applications: A Systematic Literature Review. - Tayebeh Baniasadi; Marjan Ghazi Saeedi; Mehdi Hassaniazad; Sharareh R. Niakan Kalhori; Mehraban Shahi; Marzieh Esmaeili (dHealth, 2020)

A study of factors related to patients' length of stay using data mining techniques in a general hospital in southern Iran. - Seyed Mohammad Ayyoubzadeh; Marjan Ghazi Saeedi; Sharareh Rostam Niakan Kalhori; Mehdi Hassaniazad; Tayebeh Baniasadi; Keivan Maghooli; Kobra Kahnouji (Health Inf. Sci. Syst., 2020)

A systematic review of decision aids for mammography screening: Focus on outcomes and characteristics. - Marzieh Esmaeili; Seyed Mohammad Ayyoubzadeh; Zohreh Javanmard; Sharareh R. Niakan Kalhori (Int. J. Medical Informatics, 2021)

Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. - Elham Mousavinasab; Nahid Zarifsanaiey; Sharareh R. Niakan Kalhori; Mahnaz Rakhshan; Leila Keikha; Marjan Ghazi Saeedi (Interact. Learn. Environ., 2021)

Enhanced childhood diseases treatment using computational models: Systematic review of intelligent experiments heading to precision medicine. - Sharareh Rostam Niakan Kalhori; Mozhgan Tanhapour; Marsa Gholamzadeh (J. Biomed. Informatics, 2021)

Requirement Analysis for an Intelligent Warning System to Alarm the Rapid Response Team Prior to Patient Deterioration. - Sharareh Rostam Niakan Kalhori; Thomas M. Deserno (ICIMTH, 2022)

Towards the Application of Machine Learning in Emergency Informatics. - Sharareh Rostam Niakan Kalhori (Accident and Emergency Informatics, 2022)

Early Warning System for Emergency Care: Designing a Timely Monitoring Mobile-Based System. - Mozhgan Tanhapour; Sharareh Rostam Niakan Kalhori (Accident and Emergency Informatics, 2022)

Data Sharing Platform for MIMIC-IV and MIMIC-ED Data Marts: Designing a Data Retrieving System Based on the Intra-Hospital Patient Transfer Pathway. - Sharareh Rostam Niakan Kalhori; Thomas M. Deserno; Jamal Soleiman; Shayan Kasiri Habibabadi (MIE, 2023)

The Minimum Feature Set for Designing Mobile Apps to Support Bipolar Disorder-Affected Patients: Proposal of Essential Functions and Requirements. - Saeedeh Heydarian; Alia Shakiba; Sharareh Rostam Niakan Kalhori (J. Heal. Informatics Res., 2023)

Developing a mobile health application for wound telemonitoring: a pilot study on abdominal surgeries post-discharge care. - Tayebeh Baniasadi; Mehdi Hassaniazad; Sharareh Rostam Niakan Kalhori; Mehraban Shahi; Marjan Ghazisaeedi (BMC Medical Informatics Decis. Mak., 2023)

MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques. - Soheila Saeedi; Sorayya Rezayi; Hamidreza Keshavarz; Sharareh R. Niakan Kalhori (BMC Medical Informatics Decis. Mak., 2023)

Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data. - Nourhan Ahmed; Sharareh Rostam Niakan Kalhori; Thomas M. Deserno (MIE, 2024)

Unobtrusive Monitoring of Clinical Deterioration in Smart Homes. - Sharareh Rostam Niakan Kalhori; Mozhgan Tanhapour; Thomas M. Deserno (MIE, 2024)

A systematic review of Earthquake Early Warning (EEW) systems based on Artificial Intelligence. - Pirhossein Kolivand; Peyman Saberian; Mozhgan Tanhapour; Fereshteh Karimi; Sharareh Rostam Niakan Kalhori; Zohreh Javanmard; Soroush Heydari; Seyed Saeid Hoseini Talari; Seyed Mohsen Laal Mousavi; Maryam Alidadi; Mahnaz Ahmadi; Seyed Mohammad Ayyoubzadeh (Earth Sci. Informatics, 2024)

Artificial intelligence-enabled obesity prediction: A systematic review of cohort data analysis. - Sharareh Rostam Niakan Kalhori; Farid Najafi; Hajar Hasannejadasl; Soroush Heydari (Int. J. Medical Informatics, 2025)

Individualized self-care training systems for type 2 diabetes patients: a systematic review on characteristics of randomized controlled trials (RCTs). - Mozhgan Tanhapour; Niloofar Mohammadzadeh; Sharareh Rostam Niakan Kalhori; Hadi Shakibian; Maryam Peimani; Ensieh Nasli Esfahani (Univers. Access Inf. Soc., 2025)

Priority setting of teleoncology services, and their barriers, and facilitators from oncologists and patients perspectives: a mixed-methods study. - Sareh Keshvardoost; Kambiz Bahaadinbeigy; Soodabeh Shahidsales; Farhad Fatehi; Sharareh Rostam Niakan Kalhori (BMC Medical Informatics Decis. Mak., 2025)