Stem diseas$ (all stems)

65 papers:

CHI-2015-MacLeodOGCS #towards

Rare World: Towards Technology for Rare Diseases (HM, KO, DG, KC, KAS), pp. 1145–1154.

ICEIS-v1-2015-AnjosFBSGM #big data #search-based

Genetic Mapping of Diseases through Big Data Techniques (JCSdA, BRF, JFB, RBS, CG, UM), pp. 279–286.

KDD-2015-NoriKYII #modelling #multi #predict

Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care (NN, HK, KY, HI, YI), pp. 855–864.

SAC-2015-JeongYAYP #algorithm #interactive #network #search-based #using

Inference of disease-specific gene interaction network using a Bayesian network learned by genetic algorithm (DJ, YY, JA, YY, SP), pp. 47–53.

ESEC-FSE-2015-SmithBGB #automation #program repair

Is the cure worse than the disease? overfitting in automated program repair (EKS, ETB, CLG, YB), pp. 532–543.

CASE-2014-LiaoLCHF #analysis

Vision based gait analysis on robotic walking stabilization system for patients with Parkinson’s Disease (CKL, CDL, CYC, CMH, LCF), pp. 818–823.

DAC-2014-XueQBYT #analysis #framework #manycore #scalability

Disease Diagnosis-on-a-Chip: Large Scale Networks-on-Chip based Multicore Platform for Protein Folding Analysis (YX, ZQ, PB, FY, CYT), p. 6.

CHI-2014-MaziluBHTGH #named

GaitAssist: a daily-life support and training system for parkinson’s disease patients with freezing of gait (SM, UB, MH, GT, EG, JMH), pp. 2531–2540.

DHM-2014-YoganathanK #using

ENT Disease Diagnosis Using an Expert System (DY, SK), pp. 472–483.

DUXU-ELAS-2014-SharmaMTZRTGJ #named #personalisation #smarttech

SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch (VS, KM, FDlT, AZ, NR, TGNT, RG, SJ), pp. 103–114.

ICPR-2014-AfridiLM #automation #rating

An Automated System for Plant-Level Disease Rating in Real Fields (MJA, XL, JMM), pp. 148–153.

ICPR-2014-NeumannHKKB #classification #image

Erosion Band Features for Cell Phone Image Based Plant Disease Classification (MN, LH, BK, KK, CB), pp. 3315–3320.

ICPR-2014-WangWH #framework #learning #multi #predict #risk management

A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery (XW, FW, JH), pp. 220–225.

KDD-2014-BeckmanBCLMS #named #pervasive #web

ISIS: a networked-epidemiology based pervasive web app for infectious disease pandemic planning and response (RJB, KRB, JC, BL, MVM, PES), pp. 1847–1856.

KDD-2014-RossCCD #clustering #process

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease (JCR, PJC, MHC, JGD), pp. 155–162.

KDD-2014-Schadt #approach #data-driven

A data driven approach to diagnosing and treating disease (EES), p. 3.

KDD-2014-WangSW #learning #modelling

Unsupervised learning of disease progression models (XW, DS, FW), pp. 85–94.

KDIR-2014-BarbantanLP #approach #health #identification #ontology

Disease Identification in Electronic Health Records — An Ontology based Approach (IB, CL, RP), pp. 261–268.

KDD-2013-LeeAC #realtime #twitter #using

Real-time disease surveillance using Twitter data: demonstration on flu and cancer (KL, AA, ANC), pp. 1474–1477.

KDD-2013-XiangYFWTY #learning #multi #predict

Multi-source learning with block-wise missing data for Alzheimer’s disease prediction (SX, LY, WF, YW, PMT, JY), pp. 185–193.

MLDM-2013-MaziluCGRHT #detection #learning #predict

Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease (SM, AC, EG, DR, JMH, GT), pp. 144–158.

DAC-2012-LinK #comprehension #logic #search-based #synthesis

Application of logic synthesis to the understanding and cure of genetic diseases (PCKL, SPK), pp. 734–740.

HT-2012-SofeanS #architecture #design #detection #evaluation #implementation #network #realtime #social #using

A real-time architecture for detection of diseases using social networks: design, implementation and evaluation (MS, MS), pp. 309–310.

FM-2012-BenkiraneNSS #algebra #process #using

Measles Epidemics and PEPA: An Exploration of Historic Disease Dynamics Using Process Algebra (SB, RN, ES, CS), pp. 101–115.

CSCW-2012-HuhA #collaboration #problem

Collaborative help in chronic disease management: supporting individualized problems (JH, MSA), pp. 853–862.

ICPR-2012-GhoshC #analysis #automation #classification

Feature analysis for automatic classification of HEp-2 florescence patterns : Computer-Aided Diagnosis of Auto-immune diseases (SG, VC), pp. 174–177.

ICPR-2012-HardingHCLC #automation #detection #image

Automated detection of skeletal muscle twitches from B-mode ultrasound images: An application to motor neuron disease (PJH, EFHT, RC, IL, NC), pp. 2630–2633.

ICPR-2012-SnellCK #identification

Texture and shape in fluorescence pattern identification for auto-immune disease diagnosis (VS, WJC, JK), pp. 3750–3753.

KDD-2012-ZhouLNY #modelling

Modeling disease progression via fused sparse group lasso (JZ, JL, VAN, JY), pp. 1095–1103.

HT-2011-StewartSN #approach #detection #social #social media

A transfer approach to detecting disease reporting events in blog social media (AS, MS, WN), pp. 271–280.

ICDAR-2011-ZhuN11b #online #recognition #using

Trie-Lexicon-Driven Recognition for On-line Handwritten Japanese Disease Names Using a Time-Synchronous Method (BZ, MN), pp. 1130–1134.

CHI-2011-McNaneyLLLSPHJWMO

Cueing for drooling in Parkinson’s disease (RM, SL, KL, CL, GS, TP, NYH, DJ, RW, NM, PO), pp. 619–622.

ICEIS-v1-2011-ThitiprayoonwongseSS #data mining #mining

Data Mining on Dengue Virus Disease (DT, PS, NS), pp. 32–41.

KDD-2011-HuangLYFCWR #effectiveness #modelling #network

Brain effective connectivity modeling for alzheimer’s disease by sparse gaussian bayesian network (SH, JL, JY, AF, KC, TW, ER), pp. 931–939.

KDD-2011-MalbasaV #scalability

Spatially regularized logistic regression for disease mapping on large moving populations (VM, SV), pp. 1352–1360.

KDD-2011-SimonLJV #comprehension #image #using

Understanding atrophy trajectories in alzheimer’s disease using association rules on MRI images (GJS, PWL, CRJJ, PV), pp. 369–376.

KDD-2011-ZhouYLY #learning #multi #predict

A multi-task learning formulation for predicting disease progression (JZ, LY, JL, JY), pp. 814–822.

CASE-2010-Hui

Optimal control of bio-attack induced infectious disease dynamics: The case of anthrax (QH), pp. 911–916.

CHI-2010-AarhusB #bound

Negotiating boundaries: managing disease at home (RA, SAB), pp. 1223–1232.

CIKM-2010-BundschusBTFK #case study #information management

Digging for knowledge with information extraction: a case study on human gene-disease associations (MB, ABM, VT, LIF, HPK), pp. 1845–1848.

ICPR-2010-KaramanBMDDG #monitoring #process #smarttech

Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases (SK, JBP, RM, VD, JFD, YG), pp. 4113–4116.

ICPR-2010-SilveiraM #image #using

Boosting Alzheimer Disease Diagnosis Using PET Images (MS, JSM), pp. 2556–2559.

KDIR-2010-PalmeriniRMCV #feature model

Feature Selection for the Instrumented Timed Up and Go in Parkinson’s Disease (LP, LR, SM, LC, FV), pp. 95–99.

KEOD-2010-KambhampatiSP #metric #predict

Dysphonia Measures in Parkinson’s Disease and Their use in Prediction of Its Progression (CK, MS, NP), pp. 104–109.

KEOD-2010-MollerSBEDS #classification #owl #representation

Representing the International Classification of Diseases Version 10 in OWL (MM, MS, RB, PE, AD, DS), pp. 50–59.

SAC-2010-AminBFJ #approach #probability

A stochastic approach to candidate disease gene subnetwork extraction (MSA, AB, RLFJ, HMJ), pp. 1534–1538.

ICDAR-2009-Syeda-MahmoodBA

Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support (TFSM, DB, AA), pp. 1290–1294.

HCD-2009-CaratozzoloMPZ #analysis

Caring and Curing by Mixing Information and Emotions in Orphan Diseases Websites: A Twofold Analysis (MCC, EM, OP, MZ), pp. 661–670.

HCI-VAD-2009-KharraziFD #behaviour #design #game studies #modelling

Healthcare Game Design: Behavioral Modeling of Serious Gaming Design for Children with Chronic Diseases (HK, AF, JD), pp. 335–344.

KDD-2009-SunPLCWLRY #estimation #mining

Mining brain region connectivity for alzheimer’s disease study via sparse inverse covariance estimation (LS, RP, JL, KC, TW, JL, ER, JY), pp. 1335–1344.

CASE-2008-KashimaI #concept #navigation

Conceptual menu navigation system to prevent lifestyle-related disease (TK, HI), pp. 633–637.

CSCW-2008-JohansenSHEB #quote

“Garbage in, garbage out”: extracting disease surveillance data from epr systems in primary care (MAJ, JS, PH, GE, JGB), pp. 525–534.

CIKM-2008-DavisCBCB #predict

Predicting individual disease risk based on medical history (DAD, NVC, NB, NAC, ALB), pp. 769–778.

KDD-2008-YeCWLZPBJLAR #data fusion #semistructured data

Heterogeneous data fusion for alzheimer’s disease study (JY, KC, TW, JL, ZZ, RP, MB, RJ, HL, GEA, ER), pp. 1025–1033.

SAC-2008-LiZC #case study #mining

Mining disease-specific molecular association profiles from biomedical literature: a case study (JL, XZ, JYC), pp. 1287–1291.

SIGIR-2007-ZhangL #classification #semantics

Semantic text classification of disease reporting (YZ, BL), pp. 747–748.

ICPR-v1-2006-ArzhaevaGT #classification #detection #distance #image

Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs (YA, BvG, DMJT), pp. 367–370.

ICPR-v3-2006-HuS #complexity

Regularity and Complexity of Human Electroencephalogram Dynamics: Applications to Diagnosis of Alzheimers Disease (ZH, PS), pp. 245–248.

KDD-2005-PearsonKH #database #modelling

Disease progression modeling from historical clinical databases (RKP, RJK, AH), pp. 788–793.

SAC-2005-AbbasMG #analysis

Temporal analysis of infectious diseases: influenza (KA, ARM, RG), pp. 267–271.

ICPR-v1-2004-LoogG #detection #probability

Static Posterior Probability Fusion for Signal Detection: Applications in the Detection of Interstitial Diseases in Chest Radiographs (ML, BvG), pp. 644–647.

SAC-2004-LiuCT #comparison

A comparison of two view materialization approaches for disease surveillance system (ZL, PKC, FCT), pp. 754–755.

ICML-2003-WongMCW #detection #network

Bayesian Network Anomaly Pattern Detection for Disease Outbreaks (WKW, AWM, GFC, MMW), pp. 808–815.

SAC-1999-FinkH #assessment #multi #risk management

The Disease Progression Explorer: Risk Assessment Support in Chronic, Multifactorial Diseases (PKF, LTH), pp. 46–51.

HCI-ACS-1993-Franco #approach #hypermedia

From Risk to Disease: Capturing Knowledge by a Hypertext Approach (GF), pp. 438–443.