Stanley Black & Decker (Israel)

Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study

Yaron Kinar, Nir Kalkstein, Pinchas Akiva et al. · Journal of the American Medical Informatics Association · 2016 · 118 citations · Full text

Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention

Chad Zack, Conor Senecal, Yaron Kinar et al. · JACC: Cardiovascular Interventions · 2019 · 90 citations

Percutaneous Coronary Intervention, Engineering, Machine Learning +13

Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer

Yaron Kinar, Pinchas Akiva, Eran Choman et al. · PLoS ONE · 2017 · 60 citations · Full text

Engineering, Machine Learning, Prognosis +25

Predicting the presence of colon cancer in members of a health maintenance organisation by evaluating analytes from standard laboratory records

Ran Goshen, Barak Mizrahi, Pini Akiva et al. · British Journal of Cancer · 2017 · 32 citations · Full text

Reduced inositol content in lymphocyte‐derived cell lines from bipolar patients

RH Belmaker, Ella Vainer, Lubov Nemanov et al. · Bipolar Disorders · 2002 · 30 citations