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Items: 1 to 20 of 21

1.

Quick Cognitive Impairment Test for Cancer Patients Using Emotional Stroop Effect.

Aramaki E, Honda C, Wakamiya S, Sato A, Myashiro I.

Stud Health Technol Inform. 2019 Aug 21;264:1629-1630. doi: 10.3233/SHTI190568.

PMID:
31438264
2.

KOTOBAKARI Study: Using Natural Language Processing of Patient Short Narratives to Detect Cancer Related Cognitive Impairment.

Aramaki E, Miyabe M, Honda C, Isozaki S, Wakamiya S, Sato A, Miyashiro I.

Stud Health Technol Inform. 2019 Aug 21;264:1111-1115. doi: 10.3233/SHTI190398.

PMID:
31438097
3.

Clinical Characteristics of Heart Failure from Case Reports Presented at the Regional Meeting of the Japanese Society of Internal Medicine.

Kabutoya T, Sato H, Aramaki E, Kario K, Nagai R.

Intern Med. 2019 Aug 1;58(15):2145-2150. doi: 10.2169/internalmedicine.2583-18. Epub 2019 Jun 7.

4.

Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis.

Wakamiya S, Matsune S, Okubo K, Aramaki E.

J Med Internet Res. 2019 Feb 20;21(2):e10450. doi: 10.2196/10450.

5.

Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations.

Wakamiya S, Morita M, Kano Y, Ohkuma T, Aramaki E.

J Med Internet Res. 2019 Feb 20;21(2):e12783. doi: 10.2196/12783.

6.

Idea density in Japanese for the early detection of dementia based on narrative speech.

Shibata D, Ito K, Nagai H, Okahisa T, Kinoshita A, Aramaki E.

PLoS One. 2018 Dec 5;13(12):e0208418. doi: 10.1371/journal.pone.0208418. eCollection 2018.

7.

Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study.

Wakamiya S, Kawai Y, Aramaki E.

JMIR Public Health Surveill. 2018 Sep 25;4(3):e65. doi: 10.2196/publichealth.8627.

8.

Extraction and Standardization of Patient Complaints from Electronic Medication Histories for Pharmacovigilance: Natural Language Processing Analysis in Japanese.

Usui M, Aramaki E, Iwao T, Wakamiya S, Sakamoto T, Mochizuki M.

JMIR Med Inform. 2018 Sep 27;6(3):e11021. doi: 10.2196/11021.

9.

Conditional Density Estimation of Tweet Location: A Feature-Dependent Approach.

Iso H, Wakamiya S, Aramaki E.

Stud Health Technol Inform. 2017;245:408-411.

PMID:
29295126
10.

MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical Texts.

Aramaki E, Yano K, Wakamiya S.

Stud Health Technol Inform. 2017;245:285-288.

PMID:
29295100
11.

Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services.

Aramaki E, Shikata S, Ayaya S, Kumagaya SI.

JMIR Res Protoc. 2017 May 16;6(5):e83. doi: 10.2196/resprot.5851.

12.

Vocabulary Size in Speech May Be an Early Indicator of Cognitive Impairment.

Aramaki E, Shikata S, Miyabe M, Kinoshita A.

PLoS One. 2016 May 13;11(5):e0155195. doi: 10.1371/journal.pone.0155195. eCollection 2016.

13.

Allergy Risk Finder: Hypothesis Generation System for Allergy Risks via Web Service.

Aramaki E, Shikata S, Watabe E, Miyabe M, Usuda Y, Ayaya S, Kumagaya S.

Stud Health Technol Inform. 2015;216:1113.

PMID:
26262412
14.

Mind the Gap: The Discrepancies between Patient Self-Reported Quality of Life and Medical Staff-Estimated Quality of Life.

Shimamoto Y, Miyabe M, Shikata S, Aramaki E.

Stud Health Technol Inform. 2015;216:511-4.

PMID:
26262103
15.

Blog Posting After Lung Cancer Notification: Content Analysis of Blogs Written by Patients or Their Families.

Sato A, Aramaki E, Shimamoto Y, Tanaka S, Kawakami K.

JMIR Cancer. 2015 May 18;1(1):e5. doi: 10.2196/cancer.3883.

16.

DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients.

Waki K, Fujita H, Uchimura Y, Omae K, Aramaki E, Kato S, Lee H, Kobayashi H, Kadowaki T, Ohe K.

J Diabetes Sci Technol. 2014 Mar;8(2):209-215. Epub 2014 Mar 13.

17.

DialBetics: smartphone-based self-management for type 2 diabetes patients.

Waki K, Fujita H, Uchimura Y, Aramaki E, Omae K, Kadowaki T, Ohe K.

J Diabetes Sci Technol. 2012 Jul 1;6(4):983-5. No abstract available.

18.

Internal structure of a disease name and its application for ICD coding.

Yamada E, Aramaki E, Imai T, Ohe K.

Stud Health Technol Inform. 2010;160(Pt 2):1010-4.

PMID:
20841836
19.

Extraction of adverse drug effects from clinical records.

Aramaki E, Miura Y, Tonoike M, Ohkuma T, Masuichi H, Waki K, Ohe K.

Stud Health Technol Inform. 2010;160(Pt 1):739-43.

PMID:
20841784
20.

Statistical selector of the best multiple ICD-coding method.

Aramaki E, Imai T, Kajino M, Miyo K, Ohe K.

Stud Health Technol Inform. 2007;129(Pt 1):645-9.

PMID:
17911796

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