Data Integration National Institute of Health (NIH), Kementerian Kesihatan Malaysia

NIH aim to lead and consolidate anything related to HEALTH RESEARCH in Malaysia level (not only KKM). Consists of 6 institutes + 2 divisions;

  • Institutes – IMR, IKU, ICR, IHM, IHSR, IHBR
    1. IMR – Institute for Medical Research 1900 (heritage builiding) – biomedical research. More on to services for lab facilities.
    2. IKU (IPH) – Institute for Public Health 1967 –  Epidemilogical survey research. Population (school, population) and intervention based. Collaborative research with John Hopkins. Newton Omar Fund – collaborate with UK partner.
    3. CRC (ICR) – Clinical Research Centre 1998 – clinical research hub. Data patient masuk di Hospital. e.g. Drugs company do research using CRC support.
    4. IHM – Institute of Health Management – health management issues (manpower, costing. e.g. burnt out syndrome – then lihat bagaimana kerja nurse hectic sampai tak larat)
    5. IHSR – health policy & Systems Research [focus on qualitative study!] Dr Loo Li Lan (L3)
    6. IHBR – Health Behavioural Research (health education officer (e.g. psikologi, tingkahlaku pesakit dsb) [focus on qualitative study!] 
  • Divisions – Research Committee,  NMIR (MOH only, use MOH facilities, use MOH Grant)
  • Pangkalan Data sedia ada MOH.
    • Mydata warehouse – all data di bawah KKM and private.
    • Myhealthdata warehouse – all raw data di bawah KKM (services). These routine data boleh diolah menjadi secondary data yang akan menjadi research data.
    • NIH – to hold health research data.

Vision: a  leading health research organization towards enhancing the health and well being of the nation (not only KKM).


  1. To conduct effective and high impact health research that will improve the quality of life of the people
  2. To govern and manage health research in Malaysia that will address national health priorities
  3. To conduct training related to health research (under sector Biostatistic and Data Repository – Dr Azahadi)
  4. To provide health research consultancy (under sector Biostatistic and Data Repository – Dr Azahadi

During the second discussion. Dr Azahadi is explaining about NIH background and conditions. Dr Nurulhuda give full attention as the champion in this project.

NIH intend to consolidate the HEALTH RESERCH through these phases:

  1. Phase 1: Consolidate data from all NIH entities.
  2. Phase 2: Consolidate data yang menggunakan geran KKM. This is because the money belong to KKM – should return the data to KKM
  3. *Then after 1 year research – the data + list of outcomes will be given to Dr Azahadi sector.

NOW KKM is focusing on:

  1. Elderly. By 2015, Malaysia need to have success school aging – warga tua yang successful (ada sakit/tiada sakit).
  2. Sungai KimKim – kesan kepada ibu mengandung.

NIH research is policy driven research. The focus is on:

  1. Major to improvise service (25 mill go here)
  2. Minor about basic research (only 5 mill go here because most basic research has been covered by university).
  3. NIH Research cluster[hint!thegrantwillgobasedontheseclusters]
    1. National survey,
    2. Biomedical – basic medical research.
    3. BOD – Burden of disease,CD.
    4. NCD – health intervention package – obesity, diabetes, cardio & other disease (e.g. intervention – research is more like action research. Try based on control group and intervention (new way) – then if succeed (sustainable), this research will go to improve policy. Most of the intervention research now is a one-off project. Sad sad for the country.
    5. Environmental sustainability & climate change – e.g. kes sungai kimkim, power station, LINAS)
    6. UAQH (research by IHSR, IHM)

Jenis Data

  1. Structured – especially on A, B,
  2. Unstructured data – perhaps on D, E, F
  3. Perhaps no Image data – ada tak on

NIH akan buat satu sistem untuk upload data daripada semua researcher dan download data daripada public.

Project attachment Dr Azahadi – Predictive Visual Analytics using NHMS data focus on Nutritional Data.

NHMS (national health and morbidity survey) intiatiated in 1986. Its objective to supplement community-baed data on the pattern of health common disease. Buat 10 tahun sekali (1986, 1996, 2006). Menteri suggest to shorten the study duration follow  RMK – > now KKM decided to have 4 tahun sekali.

Expected outcomes: percentage on tahun 2019, 2025 and 2030 berapa ramai yang akan obesity based on nutritional data.

Business Questions 
1. Obesiti vs demografi
2. Obesiti vs risk factors (kilocalories, protein, carbo, fat) – try this one first
3. Obesiti vs  vege and fruit
4. Obesity vs physical activities
5. Obesity vs sedentary

2. Obesiti vs risk factors (kilocalories, protein, carbo, fat) 

Normalization – “Data normalization is a way to bring the data to the same scale so that scale-sensitive models like regressions create better models (not give more weight to larger scaled data). Random Forests and Boosted models are less sensitive to this issue. To oversimplify – normalization is a feature transformation where you’re taking numeric columns and bringing all the values between -1 and 1 or some other standard or normalized scale.”

Adolescent 13-17 years –
yes – Sedentary – berapa jam duduk/baring (more / less than 4 hours).
yes – obesity fruit & vege