Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls

Research output: Chapter in Book/Report/Conference proceedingConference contribution

LanguageEnglish
Title of host publicationUnknown host publication
Publication statusPublished - 19 Mar 2019
EventAlzheimer's Research UK Conference - Harrogate, United Kingdom
Duration: 19 Mar 201920 Mar 2019

Conference

ConferenceAlzheimer's Research UK Conference
CountryUnited Kingdom
CityHarrogate
Period19/03/1920/03/19

Cite this

@inproceedings{15a215a9daf6420cbe92f4e1c64929d5,
title = "Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls",
author = "H Zhang and KongFatt Wong-Lin and Q Ye and Magda Bucholc and H Yang and Xuemei Ding",
year = "2019",
month = "3",
day = "19",
language = "English",
booktitle = "Unknown host publication",

}

Zhang, H, Wong-Lin, K, Ye, Q, Bucholc, M, Yang, H & Ding, X 2019, Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls. in Unknown host publication. Alzheimer's Research UK Conference, Harrogate, United Kingdom, 19/03/19.

Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls. / Zhang, H; Wong-Lin, KongFatt; Ye, Q; Bucholc, Magda; Yang, H; Ding, Xuemei.

Unknown host publication. 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Speech-converted text analytics of Chinese-spoken language can distinguish Alzheimer’s disease patients from healthy controls

AU - Zhang, H

AU - Wong-Lin, KongFatt

AU - Ye, Q

AU - Bucholc, Magda

AU - Yang, H

AU - Ding, Xuemei

PY - 2019/3/19

Y1 - 2019/3/19

M3 - Conference contribution

BT - Unknown host publication

ER -