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1. Full Text Prototype-Based Compound Discovery Using Deep Generative Models
by Harel, Shahar and Radinsky, Kira
Molecular pharmaceutics, ISSN 1543-8384, 10/2018, Volume 15, Issue 10, pp. 4406 - 4416
generative models | deep learning for medicine | prototype-based drug discovery | compound design | Pharmacology & Pharmacy | Life Sciences & Biomedicine | Medicine, Research & Experimental | Science & Technology | Research & Experimental Medicine | Drug Discovery | Isoniazid - chemistry | Deep Learning | Quantitative Structure-Activity Relationship
Journal Article
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2. Full Text Data Scientists at Work
by Gutierrez, Sebastian and Gutierrez, J F
2014, 1, ISBN 1430265981, 364
Handbooks, manuals, etc | Data processing | Statistics | Big Data | Business Intelligence | Social Media
eBook
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3. Full Text Chronic Use of β-Blockers and the Risk of Parkinson's Disease
by Koren, Gideon and Norton, Galia and Radinsky, Kira and Shalev, Varda
Clinical drug investigation, ISSN 1173-2563, 05/2019, Volume 39, Issue 5, pp. 463 - 468
Studies | Heart failure | Hypertension | Confidence intervals | Prescription drugs | Survival analysis | Parkinsons disease | Patients | Drug dosages | Beta blockers | Morbidity | Index Medicus
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4. Full Text Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning
by Koren, Gideon and Nordon, Galia and Radinsky, Kira and Shalev, Varda
Pharmacology research & perspectives, ISSN 2052-1707, 12/2019, Volume 7, Issue 6, pp. e00529 - n/a
diabetes type 2 | glucose control | α1‐adrenoceptor antagonist | machine learning | big data analysis | Life Sciences & Biomedicine | Pharmacology & Pharmacy | Science & Technology | Drugs | Substance abuse treatment | Peptides | Hyperplasia | Big Data | Metabolism | Patients | Insulin | Success | Machine learning | Diabetes | Prostate | Artificial intelligence | Index Medicus
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5. Full Text On Biases Of Attention In Scientific Discovery
by Singer, Uriel and Radinsky, Kira and Horvitz, Eric
Bioinformatics (Oxford, England), 12/2020
Index Medicus
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6. Full Text Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods
by Novgorodov, Slava and Guy, Ido and Elad, Guy and Radinsky, Kira
ACM transactions on Internet technology, ISSN 1533-5399, 11/2020, Volume 20, Issue 4
Computer Science, Information Systems | Technology | Computer Science | Computer Science, Software Engineering | Science & Technology
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7. Full Text Machine learning of big data in gaining insight into successful treatment of hypertension
by Koren, Gideon and Nordon, Galia and Radinsky, Kira and Shalev, Varda
Pharmacology research & perspectives, ISSN 2052-1707, 06/2018, Volume 6, Issue 3, pp. e00396 - n/a
big data | machine learning | beta blockers | hypertension | statins | protein pump inhibitors | Life Sciences & Biomedicine | Pharmacology & Pharmacy | Science & Technology | Algorithms | Humans | Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use | Hypertension - drug therapy | Decision Trees | Drug Therapy, Combination | Proton Pump Inhibitors - therapeutic use | Machine Learning | Adrenergic beta-Antagonists - therapeutic use | Databases, Factual | Neural Networks (Computer) | Drugs | Hypertension | Substance abuse treatment | Big Data | Cardiovascular disease | Patients | Success | Neural networks | Machine learning | Blood pressure | Artificial intelligence | Methods | Index Medicus
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8. Full Text Clinical pharmacology of old age
by Koren, Gideon and Nordon, Galia and Radinsky, Kira and Shalev, Varda
Expert review of clinical pharmacology, ISSN 1751-2433, 08/2019, Volume 12, Issue 8, pp. 749 - 755
drugs | adherence | pharmacodynamics | pharmacokinetics | potentially inappropriate medications | machine learning | Old age | polypharmacy | artificial intelligence | big data analysis | Life Sciences & Biomedicine | Pharmacology & Pharmacy | Science & Technology | Index Medicus
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9. Full Text Machine learning algorithm for early detection of end-stage renal disease
by Segal, Zvi and Kalifa, Dan and Radinsky, Kira and Ehrenberg, Bar and Elad, Guy and Maor, Gal and Lewis, Maor and Tibi, Muhammad and Korn, Liat and Koren, Gideon
BMC nephrology, ISSN 1471-2369, 12/2020, Volume 21, Issue 1, pp. 518 - 518
End stage renal disease | Algorithm | Machine learning | Prediction model | Life Sciences & Biomedicine | Urology & Nephrology | Science & Technology | Hypertension | Algorithms | Chronic kidney failure | Medical records | Data mining | Heart diseases | End-stage renal disease | Demography | Insurance claims | Embedding | Asymptomatic | Databases | Ischemia | Prediction models | Medical coding | Diagnosis | Medicaid | Beneficiaries | Chronic illnesses | Codes | Statistical analysis | Medicare | Data warehouses | Patients | Coronary artery disease | Learning algorithms | Pharmacy | Kidney diseases | Kidney transplantation | Index Medicus
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10. Full Text Learning to predict from textual data
by Radinsky, Kira and Davidovich, Sagie and Markovitch, Shaul
The Journal of artificial intelligence research, ISSN 1076-9757, 2012, Volume 45, pp. 641 - 684
Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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11. Full Text Development of a machine learning algorithm for early detection of opioid use disorder
by Segal, Zvi and Radinsky, Kira and Elad, Guy and Marom, Gal and Beladev, Moran and Lewis, Maor and Ehrenberg, Bar and Gillis, Plia and Korn, Liat and Koren, Gideon
Pharmacology research & perspectives, ISSN 2052-1707, 12/2020, Volume 8, Issue 6, pp. e00669 - n/a
diagnosis | machine learning | Opioid use disorder | big data analytics | algorithm | Costs | Codes | Insurance claims | Narcotics | Data warehouses | Drug withdrawal | Patients | Health maintenance organizations--HMOs | Algorithms | Pharmacy | Medical coding | Machine learning | Prescriptions | Chronic illnesses | Index Medicus
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12. Full Text Behavioral dynamics on the web
: Learning, modeling, and prediction
by Radinsky, Kira and Svore, Krysta and Dumais, Susan and Shokouhi, Milad and Teevan, Jaime and Bocharov, Alex and Horvitz, Eric
ACM transactions on information systems, ISSN 1046-8188, 07/2013, Volume 31, Issue 3, pp. 1 - 37
predictive behavioral models | Behavioral analysis | Predictive behavioral models | Computer Science, Information Systems | Technology | Computer Science | Science & Technology | Search commands | Usage | Algorithms | Analysis | Online searching | Internet/Web search services | Behavioral assessment | Research | Database searching | Methods | Learning | Queries | Searching | Dynamics | Mathematical models | Temporal logic | Seismic phenomena | Information systems
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13. Full Text Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients
by Lewis Maor and Elad Guy and Beladev Moran and Maor Gal and Radinsky Kira and Hermann Dor and Litani Yoav and Geller Tal and Pines Jesse M and Shapiro Nathan l and Figueroa Jose F
Scientific reports, 01/2021, Volume 11, Issue 1, pp. 1164 - 1164
Learning | Deep learning | Heart failure | Prediction models | Heart diseases | Index Medicus
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14. Full Text Mining the web to predict future events
by Radinsky, Kira and Horvitz, Eric
Proceedings of the sixth ACM international conference on web search and data mining, 02/2013, pp. 255 - 264
web knowledge for future prediction | future prediction | news prediction
Conference Proceeding
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15. Full Text Time-sensitive query auto-completion
by Shokouhi, Milad and Radinsky, Kira
Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval, 08/2012, pp. 601 - 610
query auto-completion | temporal ranking | time-series
Conference Proceeding
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16. Full Text Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks
by Harel, Shahar and Radinsky, Kira
Proceedings of the 24th ACM SIGKDD International Conference on knowledge discovery & data mining, 07/2018, pp. 331 - 339
deep learning for medicine | prototype-based drug discovery | drug design | Prototype-Based Drug Discovery | Deep Learning for Medicine | Drug Design
Conference Proceeding
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17. Full Text Advances in Information Retrieval
: 36th European Conference on IR Research, ECIR 2014, Amsterdam, the Netherlands, April 13-16, 2014, Proceedings
by de Rijke, Maarten and Kenter, Tom and Zhai, ChengXiang and de Jong, Franciska and Radinsky, Kira and Hofmann, Katja and de Vries, Arjen P
2014, ISBN 9783319060279, 857
Computer science | Data mining | Database management
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18. Full Text Chronic Use of -Blockers and the Risk of Parkinson's Disease
by Koren, Gideon and Norton, Galia and Radinsky, Kira and Shalev, Varda
Clinical drug investigation, ISSN 1173-2563, 05/2019, Volume 39, Issue 5, pp. 463 - 468
Life Sciences & Biomedicine | Pharmacology & Pharmacy | Science & Technology
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19. Full Text A word at a time
: computing word relatedness using temporal semantic analysis
by Radinsky, Kira and Agichtein, Eugene and Gabrilovich, Evgeniy and Markovitch, Shaul
Proceedings of the 20th international conference on world wide web, 03/2011, pp. 337 - 346
semantic analysis | semantic similarity | temporal semantics | word relatedness | temporal dynamics | Temporal semantics | Semantic similarity | Temporal dynamics | Word relatedness | Semantic analysis
Conference Proceeding
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20. Full Text Generating Timelines by Modeling Semantic Change
by Rosin, Guy D and Radinsky, Kira
09/2019
Computer Science - Computation and Language
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